Killexams DOP-C01 Exam Braindumps includes latest syllabus of AWS DevOps Engineer Professional (DOP-C01) exam with up-to-date exam contents | Actual Questions - Mahfia.tv
PDF Exam Questions and Answers : DOP-C01 Exam Braindumps contains complete pool of DOP-C01 Questions and answers in PDF format. PDF contains actual Questions with March 2024 updated AWS DevOps Engineer Professional (DOP-C01) Braindumps that will help you get high marks in the actual test. You can open PDF file on any operating system like Windows, MacOS, Linux etc or any device like computer, android phone, ipad, iphone or any other hand held device etc. You can print and make your own book to read anywhere you travel or stay. PDF is suitable for high quality printing and reading offline.
VCE Exam Simulator 3.0.9 : Free DOP-C01 Exam Simulator is full screen windows app that is like the exam screen you experience in actual test center. This sofware provide you test environment where you can answer the questions, take test, review your false answers, monitor your performance in the test. VCE exam simulator uses Actual Exam Questions and Answers to take your test and mark your performance accordingly. When you start getting 100% marks in the exam simulator, it means, you are ready to take real test in test center. Our VCE Exam Simulator is updated regularly. Latest update is for March 2024.
Amazon DOP-C01 Exam Braindumps
We offer Amazon DOP-C01 Exam Braindumps containing actual DOP-C01 exam questions and answers. These Exam Braindumps are very useful in passing the DOP-C01 exams with high marks. It is money back guarantee by killexams.com
Real Amazon DOP-C01 Exam Questions and Answers
These DOP-C01 questions and answers are in PDF files, are taken from the actual DOP-C01 question pool that candidate face in actual test. These real Amazon DOP-C01 exam QAs are exact copy of the DOP-C01 questions and answers you face in the exam.
Amazon DOP-C01 Practice Tests
DOP-C01 Practice Test uses the same questions and answers that are provided in the actual DOP-C01 exam pool so that candidate can be prepared for real test environment. These DOP-C01 practice tests are very helpful in practicing the DOP-C01 exam.
Amazon DOP-C01 Exam Braindumps update
DOP-C01 Exam Braindumps are updated on regular basis to reflect the latest changes in the DOP-C01 exam. Whenever any change is made in actual DOP-C01 test, we provide the changes in our DOP-C01 Exam Braindumps.
Complete Amazon DOP-C01 Exam Collection
Here you can find complete Amazon exam collection where Exam Braindumps are updated on regular basis to reflect the latest changes in the DOP-C01 exam. All the sets of DOP-C01 Exam Braindumps are completely verified and up to date.
AWS DevOps Engineer Professional (DOP-C01) Exam Braindumps
Killexams.com DOP-C01 Exam Braindumps contain complete question pool, updated in March 2024 including VCE exam simulator that will help you get high marks in the exam. All these DOP-C01 exam questions are verified by killexams certified professionals and backed by 100% money back guarantee.
DOP-C01 AWS DevOps Engineer Professional (DOP-C01) learning | [HOSTED-SITE]
DOP-C01 learning - AWS DevOps Engineer Professional (DOP-C01) Updated: 2024
Simply think about these DOP-C01 Questions and answers
Out of hundreds websites there are little number of websites that provide genuine DOP-C01 dumps questions that really works in genuine DOP-C01 test. Killexams.com is one of authentic and updated website. Team at killexams.com keep DOP-C01 study guide updated according to real exam. Memorizing our DOP-C01 dumps makes you pass the exam with even 100% marks.
DOP-C01 Dumps
DOP-C01 Braindumps
DOP-C01 Real Questions
DOP-C01 Practice Test
DOP-C01 dumps free
Amazon
DOP-C01
AWS DevOps Engineer Professional (DOP-C01)
http://killexams.com/pass4sure/exam-detail/DOP-C01
Question #516
Which statement is true about configuring proxy support for Amazon Inspector agent on a Windows-based system?
A. Amazon Inspector agent supports proxy usage on Windows-based systems through the use of the WinHTTP
proxy.
B. Amazon Inspector agent supports proxy usage on Linux-based systems but not on Windows.
C. Amazon Inspector proxy support on Windows-based systems is achieved through installing proxy-enabled
version of the agent which comes with preconfigured files that you need to edit to match your environment.
D. Amazon Inspector agent supports proxy usage on Windows-based systems through awsagent.env
configuration file. Answer: A
Proxy support for AWS agents is achieved through the use of the WinHTTP proxy.
Reference:
https://docs.aws.amazon.com/inspector/latest/userguide/inspector_agents-on-win.html#inspectoragent-proxy
Question #517
What is the default maximum number of Roles per AWS account?
A. 500
B. 250
C. 100
D. There is no limit. Answer: B
The default maximum number of Roles per AWS account is 250.
Reference:
http://docs.aws.amazon.com/IAM/latest/UserGuide/LimitationsOnEntities.htm
Question #518
You have an application which consists of EC2 instances in an Auto Scaling group. Between a particular time frame
every day, there is an increase in traffic to your website. Hence users are complaining of a poor response time on the
application. You have configured your Auto Scaling group to deploy one new EC2 instance when CPU utilization is
greater than 60% for 2 consecutive periods of 5 minutes.
What is the least cost-effective way to resolve this problem?
A. Decrease the consecutive number of collection periods
B. Increase the minimum number of instances in the Auto Scaling group
C. Decrease the collection period to ten minutes
D. Decrease the threshold CPU utilization percentage at which to deploy a new instance Answer: B
If you increase the minimum number of instances, then they will be running even though the load is not high on the
website. Hence you are incurring cost even though there is no need. All of the remaining options are possible options
which can be used to increase the number of instances on a high load. For more information on On-demand scaling,
please refer to the below link.
Reference:
http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.html
Question #519
You have decided that you need to change the instance type of your production instances which are running as part of
an AutoScaling group. The entire architecture is deployed using CloudFormation Template. You currently have 4
instances in Production. You cannot have any interruption in service and need to ensure 2 instances are always
runningduring the update. Which of the options below listed can be used for this?
A. AutoScalingRollingUpdate
B. AutoScalingScheduledAction
C. AutoScalingReplacingUpdate
D. AutoScalinglntegrationUpdate Answer: A
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePoIicy attribute. This is used to define how
an Auto Scalinggroup resource is updated when an update to the Cloud Formation stack occurs. A common approach
to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the
AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new
ones, according to the parameters specified. For more information on Autoscaling updates, please refer to the below
link.
Reference:
https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/
Question #520
You currently have the following setup in AWS:
1) An Elastic Load Balancer
2) Auto Scaling Group which launches EC2 Instances
3) AMIs with your code pre-installed You want to deploy the updates of your app to only a certain number of users.
You want to have a cost-effective solution. You should also be able to revert back quickly.
Which of the below solutions is the most feasible one?
A. Create a second ELB, and a new Auto Scaling Group assigned a new Launch Configuration. Create a new
AMI with the updated app. Use Route53 Weighted Round Robin records to adjust the proportion of traffic
hitting the two ELBs.
B. Create new AMIs with the new app. Then use the new EC2 instances in half proportion to the older
instances.
C. Redeploy with AWS Elastic Beanstalk and Elastic Beanstalk versions. Use Route 53 Weighted Round Robin
records to adjust the proportion of traffic hitting the two ELBs
D. Create a full second stack of instances, cut the DNS over to the new stack of instances, and change the DNS
back if a rollback is needed. Answer: A
The Weighted Routing policy of Route53 can be used to direct a proportion of traffic to your application. The best
option is to create a second CLB, attach the new
Autoscaling Group and then use Route53 to divert the traffic. Option B is wrong because just having EC2 instances
running with the new code will not help. Option
C is wrong because Clastic beanstalk is good for development environments, and also there is no mention of having 2
environments where environment urls can be swapped. Option D is wrong because you still need Route53 to split the
traffic.
Question #521
You have an application running a specific process that is critical to the application's functionality, and have added
the health check process to your Auto Scaling
Group. The instances are showing healthy but the application itself is not working as it should. What could be the
issue with the health check, since it is still showing the instances as healthy.
A. You do not have the time range in the health check properly configured
B. It is not possible for a health check to monitor a process that involves the application
C. The health check is not configured properly
D. The health check is not checking the application process Answer: D
If you have custom health checks, you can send the information from your health checks to Auto Scaling so that Auto
Scaling can use this information. For example, if you determine that an instance is not functioning as expected, you
can set the health status of the instance to Unhealthy. The next time that Auto
Scaling performs a health check on the instance, it will determine that the instance is unhealthy and then launch a
replacement instance.
Question #522
You have just recently deployed an application on EC2 instances behind an ELB. After a couple of weeks, customers
are complaining on receiving errors from the application. You want to diagnose the errors and are trying to get errors
from the ELB access logs. But the ELB access logs are empty. What is the reason for this.
A. You do not have the appropriate permissions to access the logs
B. You do not have your CloudWatch metrics correctly configured
C. ELB Access logs are only available for a maximum of one week
D. Access logging is an optional feature of Elastic Load Balancing that is disabled by default Answer: D
Clastic Load Balancing provides access logs that capture detailed information about requests sent to your load
balancer. Cach log contains information such as the time the request was received, the client's IP address, latencies,
request paths, and server responses. You can use these access logs to analyze traffic patterns and to troubleshoot
issues. Access logging is an optional feature of Elastic Load Balancing that is disabled by default. After you enable
access logging for your load balancer. Clastic Load Balancing captures the logs and stores them in the Amazon S3
bucket that you specify. You can disable access logging at any time.
Question #523
You have deployed an application to AWS which makes use of Autoscaling to launch new instances. You now want
to change the instance type for the new instances. Which of the following is one of the action items to achieve this
deployment?
A. Use Elastic Beanstalk to deploy the new application with the new instance type
B. Use Cloudformation to deploy the new application with the new instance type
C. Create a new launch configuration with the new instance type
D. Create new EC2 instances with the new instance type and attach it to the Autoscaling Group Answer: C
The ideal way is to create a new launch configuration, attach it to the existing Auto Scaling group, and terminate the
running instances. Option A is invalid because
Clastic beanstalk cannot launch new instances on demand. Since the current scenario requires Autoscaling, this is not
the ideal option Option B is invalid because this will be a maintenance overhead, since you just have an Autoscaling
Group. There is no need to create a whole Cloudformation template for this. Option D is invalid because Autoscaling
Group will still launch CC2 instances with the older launch configuration.
Question #524
Your application stores sensitive information on an EBS volume attached to your EC2 instance. How can you protect
your information? (Choose two.)
A. Unmount the EBS volume, take a snapshot and encrypt the snapshot. Re-mount the Amazon EBS volume.
B. It is not possible to encrypt an EBS volume, you must use a lifecycle policy to transfer data to S3 for
encryption.
C. Copy the unencrypted snapshot and check the box to encrypt the new snapshot. Volumes restored from this
encrypted snapshot will also be encrypted.
D. Create and mount a new, encrypted Amazon EBS volume. Move the data to the new volume. Delete the old
Amazon EBS volume. Answer: CD
These steps are given in the AWS documentation
To migrate data between encrypted and unencrypted volumes
1) Create your destination volume (encrypted or unencrypted, depending on your need).
2) Attach the destination volume to the instance that hosts the data to migrate.
3) Make the destination volume available by following the procedures in Making an Amazon EBS Volume Available
for Use. For Linux instances, you can create a mount point at /mnt/destination and mount the destination volume
there.
4) Copy the data from your source directory to the destination volume. It may be most convenient to use a bulk-copy
utility for this.
To encrypt a volume's data by means of snapshot copying
1) Create a snapshot of your unencrypted CBS volume. This snapshot is also unencrypted.
2) Copy the snapshot while applying encryption parameters. The resulting target snapshot is encrypted.
3) Restore the encrypted snapshot to a new volume, which is also encrypted.
Question #525
Which Auto Scaling process would be helpful when testing new instances before sending traffic to them, while still
keeping them in your Auto Scaling Group?
A. Suspend the process AZ Rebalance
B. Suspend the process Health Check
C. Suspend the process Replace Unhealthy
D. Suspend the process AddToLoadBalancer Answer: D
If you suspend Add To Load Balancer, Auto Scaling launches the instances but does not add them to the load balancer
or target group. If you resume the AddTo
Load Balancer process. Auto Scaling resumes adding instances to the load balancer or target group when they are
launched. However, Auto Scaling does not add the instances that were launched while this process was suspended.
You must register those instances manually. Option A is invalid because this just balances the number of CC2
instances in the group across the Availability Zones in the region Option B is invalid because this just checks the
health of the instances. Auto
Scaling marks an instance as unhealthy if Amazon CC2 or Clastic Load Balancing tells Auto Scaling that the instance
is unhealthy. Option C is invalid because this process just terminates instances that are marked as unhealthy and later
creates new instances to replace them.
Question #526
You have an ELB setup in AWS with EC2 instances running behind it. You have been requested to monitor the
incoming connections to the ELB.
Which of the below options can suffice this requirement?
A. Use AWSCIoudTrail with your load balancer
B. Enable access logs on the load balancer
C. Use a CloudWatch Logs Agent
D. Create a custom metric CloudWatch filter on your load balancer Answer: B
Clastic Load Balancing provides access logs that capture detailed information about requests sent to your load
balancer. Cach log contains information such as the time the request was received, the client's IP address, latencies,
request paths, and server responses. You can use these access logs to analyze traffic patterns and to troubleshoot
issues.
Option A is invalid because this service will monitor all AWS services Option C and D are invalid since CLB already
provides a logging feature.
Question #527
A DevOps Engineer has been asked to recommend a tool to deploy the components of a threetier web application.
This application will use Amazon DynamoDB as a database Which deployment requires the LEAST amount of
operational management?
A. Use AWS CloudFormation to create a Classic Load Balancer and an Auto Scaling group. Use AWS
OpsWorks to create the application and database resources Deploy application updates with OpsWorks using
lifecycle events
B. Use AWS OpsWorks to create a Classic Load Balancer, an Auto Scaling group application, and database
resources Deploy application updates using OpsWorks lifecycle events
C. Use AWS OpsWorks to create a Classic Load Balancer Auto Scaling and application resources Use AWS
CloudFormation to create the database resources Deploy application updates using CloudFormation rolling
updates
D. Use AWS CloudFormation to create a Classic Load Balancer an Auto Scaling group and database resources
Deploy application updates using CloudFormation rolling updates Answer: B
Question #528
A company uses AWS CodePipeline to manage and deploy infrastructure as code. The infrastructure is defined in
AWS CloudFormation templates and is primarily comprised of multiple Amazon EC2 instances and Amazon RDS
databases. The Security team has observed many operators creating inbound security group rules with a source CIDR
of 0 0 0 0/0 and would like to proactively stop the deployment of rules with open CIDRs The DevOps Engineer will
implement a predeptoyment step that runs some security checks over the CloudFormation template before the pipeline
processes it. This check should allow only inbound security group rules with a source CIDR of 0.0.0.0/0 if the rule
has the description "Security Approval Ref XXXXX (where XXXXX is a preallocated reference). The pipeline step
should fail if this condition is not met and the deployment should be blocked. How should this be accomplished?
A. Enable a SCP in AWS Organizations. The policy should deny access to the API call Create Security
GroupRule if the rule specifies 0.0.0.0/0 without a description referencing a security approval.
B. Add an initial stage to CodePipeline called Security Check. This stage should call an AWS Lambda function
that scans the CloudFormation template and fails the pipeline if it finds 0.0.0.0/0 in a security group without a
description referencing a security approval.
C. Create an AWS Config rule that is triggered on creation or edit of resource type EC2 SecurityGroup. This
rule should call an AWS Lambda function to send a failure notification if the security group has any rules with
a source CIDR of 0.0.0.0/0 without a description referencing a security approval.
D. Modify the IAM role used by CodePipeline. The IAM policy should deny access. Answer: B
For More exams visit https://killexams.com/vendors-exam-list
Kill your exam at First Attempt....Guaranteed!
Amazon Professional learning - BingNews
https://killexams.com/pass4sure/exam-detail/DOP-C01
Search resultsAmazon Professional learning - BingNews
https://killexams.com/pass4sure/exam-detail/DOP-C01
https://killexams.com/exam_list/AmazonAmazon’s ongoing commitment to sustainable packagingNo result found, try new keyword!Amazon has made use of machine learning algorithms to significantly reduce packaging volumes across its platform.Mon, 01 Jan 2024 23:29:21 -0600en-ustext/htmlhttps://www.msn.com/Customized Professional Learning for Schools
In conjunction with the Professional Learning Cycles, the team at your school/district will receive implementation support from a PCE consultant with school and coaching experience to guide the implementation of the work in classrooms.
The PCE consultant will also provide text set recommendations for staff, customize student materials recommendations and answer any questions throughout the process.
Wed, 23 Mar 2022 13:39:00 -0500entext/htmlhttps://www.bc.edu/bc-web/schools/lynch-school/sites/professional-continuing-education/learners/k-12/Customized-programs.htmlWhy Amazon Will Come Out Ahead In The Generative AI Race
In the rapidly evolving domain of generative AI, Amazon (NASDAQ:AMZN) is positioning itself as a formidable contender, leveraging its cloud infrastructure prowess and strategic alliances. While rivals like Google (GOOG) and Microsoft (MSFT) have made significant strides, Amazon's unique approach, rooted in its cloud market leadership through AWS and a focus on choice and ease of use, sets it apart in this competitive landscape. While this may not be apparent today as most seem to believe that Amazon is behind in the Gen AI race, we believe the company's strategy around providing access to a variety of LLM models and its leading cloud market share will eventually position it as the winner in this race.
Timeline of Amazon's Generative AI Developments
Let's first recap various developments around around Gen AI as it relates to Amazon and what we can learn from these. We will then go into details around some of these takeaways (in later sections) to evidence our theory of why Amazon comes out ahead in this race.
Pre-2022
Amazon had been developing its large language models (LLMs) for internal use, likely as part of its broader AI and machine learning initiatives within AWS and Alexa.
2022
June 2022: Amazon announced CodeWhisperer at the re:MARS conference. CodeWhisperer is a text-to-code solution similar to GitHub Copilot.
November 2022: Amazon experienced significant organizational changes with layoffs, which may have influenced its strategic approach to generative AI.
2023
Early 2023: Amazon's focus on generative AI became more evident. This period likely involved planning and strategizing their approach to leveraging this technology.
April 14, 2023: Amazon launched Bedrock, a generative AI service, and made CodeWhisperer generally available and free for individual use, marking its direct competition with Microsoft’s OpenAI services and GitHub Copilot.
August 4, 2023: Amazon's CEO, Andy Jassy, outlined the company’s comprehensive strategy for generative AI, emphasizing the development of applications and the integration of AI into AWS offerings.
September 25, 2023: Amazon announced a significant investment of up to $4 billion in Anthropic, a large language model provider, gaining a minority ownership position and solidifying its commitment to generative AI.
October 28, 2023: Following Amazon's investment in Anthropic, Google also invested an additional $2 billion in the company, highlighting the competitive nature of the generative AI market.
Key Takeaways
Strategic Direction: Amazon’s strategy in generative AI revolves around providing a diverse range of AI models, emphasizing flexibility and choice for AWS customers. The launch of services like Bedrock and the free offering of CodeWhisperer reflect this approach.
Cloud Infrastructure Leverage: AWS's dominance in the cloud market is a significant factor in Amazon's generative AI strategy. The company aims to use its cloud infrastructure as a platform for deploying AI services and models.
Focus on Applications: Much of Amazon’s efforts are geared toward the application layer of generative AI, highlighting its potential in enhancing customer experiences and developing new solutions.
Competitive Stance: Amazon's investments and developments in generative AI are in direct competition with major players like Google and Microsoft, each vying for dominance in this rapidly evolving field.
Future Outlook: With Amazon's continuous investment and strategic partnerships in the generative AI space, it is positioning itself as a key player. Future developments are likely to focus on further integrating AI into its product offerings and enhancing AWS's capabilities in this domain.
Amazon's Generative AI Strategy: A Differentiated Approach
Amazon's strategy in the generative AI space is multifaceted, focusing on providing a broad range of AI models and creating an ecosystem that emphasizes flexibility and accessibility. This strategy is exemplified by the launch of services like Bedrock and CodeWhisperer. Bedrock, in particular, is a testament to Amazon's commitment to offering a diverse array of AI models. It's not just about promoting Amazon’s proprietary models; it's about providing an "everything else" alternative to the AI models hosted by other cloud giants. This approach contrasts with Google's focus on its own AI models like PaLM and Gemini, and Microsoft's close ties with OpenAI and its GPT suite.
Moreover, Amazon's decision to make its CodeWhisperer service free for individual developers is a strategic move that not only challenges the existing models like GitHub Copilot but also speaks to the company's understanding of the importance of developer engagement in the AI ecosystem.
AWS: The Cloud Market Leader
A key advantage for Amazon in the generative AI race is its leadership in the cloud market through AWS. AWS's dominance in cloud infrastructure provides Amazon with a vast and diverse customer base, ranging from startups to large enterprises. This extensive reach gives Amazon a unique advantage in rapidly deploying and scaling AI solutions. The deployment of its AI-optimized chips, Trainium and Inferentia, further strengthens its position, offering a cost-effective and efficient alternative to NVIDIA's GPUs. This move not only enhances AWS's appeal as a platform for AI development but also positions Amazon favorably in terms of both operational costs and environmental sustainability, an increasingly important consideration in technology infrastructure.
The Convergence of LLM Models and the Importance of Choice
As large language models (LLMs) evolve, we're likely to see a convergence in their capabilities, as they all utilize similar underlying data sets and machine learning techniques. In this scenario, the winner in the AI race will not necessarily be the one with the most advanced model, but rather the one that offers the most choice and ease of use. Amazon’s strategy, which emphasizes providing a variety of AI models through AWS, positions it strongly in this respect. By not limiting itself to proprietary models and embracing a wide range of AI technologies, Amazon ensures that its customers have the flexibility to choose the best tool for their specific needs.
The Commercialization of Generative AI: The Application Layer
The real commercial potential of generative AI lies in its application layer. Most of the tangible benefits and innovations will emerge from how these AI models are applied in various industries and domains. Amazon, with its diverse range of services and sectors, from e-commerce and entertainment to home automation and cloud services, is uniquely positioned to integrate generative AI into a multitude of products.
In the e-commerce domain, for instance, generative AI can revolutionize personalized shopping experiences, recommendation systems, and customer service. Amazon’s voice assistant, Alexa, is already a household name, and the integration of advanced generative AI could significantly enhance its conversational capabilities and utility. Similarly, in the realm of cloud services, AWS can offer generative AI-driven solutions for data analysis, cybersecurity, and more, providing Amazon's clients with cutting-edge tools to optimize their operations.
Amazon Products: The Next Frontier for Generative AI
Looking ahead, we can expect to see generative AI incorporated across a range of Amazon products. In Alexa, for instance, generative AI could lead to more natural, context-aware interactions, making the assistant more intuitive and helpful in daily tasks. In Amazon’s e-commerce platform, generative AI could be used to create more personalized shopping experiences, from customized product recommendations to AI-driven customer support that can understand and respond to complex queries more effectively.
AWS itself is likely to be a major beneficiary of these advancements. By offering a suite of tools and services powered by generative AI, AWS can cater to a wide range of business needs, from automated coding assistance to sophisticated data analysis and beyond. This will not only cement AWS's position as a leading cloud service provider but also drive innovation across various industries that rely on AWS for their computing needs.
Conclusion
In the race to lead in generative AI, Amazon's strategy of offering a diverse range of AI models, coupled with its dominance in the cloud market through AWS, positions it favorably against competitors like Google and Microsoft. By focusing on choice, ease of use, and the application layer of AI, Amazon is not just participating in the generative AI race; it is reshaping the track. As LLM models converge in capabilities, Amazon's approach of providing a platform that caters to a wide range of AI technologies and applications could very well be the key to unlocking the full potential of generative AI in the commercial domain. With its vast array of products and services, Amazon is poised to integrate generative AI in ways that could redefine the landscape of technology and business.
Fri, 22 Dec 2023 06:06:00 -0600entext/htmlhttps://seekingalpha.com/article/4659262-why-amazon-will-come-out-ahead-in-the-generative-ai-raceLearning to harness AI with Amazon Web Services Coast Live
HAMPTON ROADS, Va. — Artificial Intelligence and Machine Learning now hold a permanent position in today’s world, and even employers expect their workers to earn up to 47% more in salaries if they upskill in AI. If you’re interested in learning more, but don’t know where to start, Amazon is ready to help
Copyright 2023 Scripps Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
Thu, 21 Dec 2023 23:02:00 -0600entext/htmlhttps://www.wtkr.com/coast-live/learning-to-harness-ai-with-amazon-web-services-coast-liveHow Self-Supervised Learning In AI Can Reduce Reliance On User Data
The “P” in “ChatGPT” is perfect for cookieless targeting.
Here “P” stands for pre-trained. It’s an aspect of the latest generation of AI models that deserves a closer look from programmatic advertisers and agencies, along with the concept that powers it: self-supervised learning.
Self-supervised learning is at the heart of generative AI, and it’s perfectly suited to address the signal loss we’re increasingly facing in digital advertising today.
Using self-supervised learning, AI targeting models can build up a body of knowledge about digital behavior that lets the AI do more with less data when targeting ads for a specific brand.
Pre-training lesson
Pre-training is when an AI model learns a foundation of knowledge before it ever tries to tackle an individual prompt. AI models like ChatGPT learn by predicting the next word in a sentence for millions of sentences pulled from the internet. Before you ask ChatGPT your first question, this pre-training step has already allowed the AI model to build up an enormous breadth of knowledge, enabling it to supply a surprisingly detailed answer in response to any little prompt.
This is an example of what’s called self-supervised machine learning. Self-supervised learning is when an AI model learns from a data set that doesn’t include labeled examples or other explicit guidance on what the AI model should learn. By using any readily available text, ChatGPT supervises itself to learn what each word means. It does this by guessing the next word in a sentence, then checking the answer and correcting itself. It plays this game of guess-and-check millions of times over.
The self-supervised nature of AI models like ChatGPT is what makes them so useful. The key to their success is that they can learn from data that’s already plentiful – data that wasn’t created specifically for training AI.
This differentiates self-supervised learning from classic supervised learning. With supervised learning, if you want your AI to learn something, you need a data set with specifically labeled examples to guide the learning process. This data is always limited. Creating or acquiring it often comes at a cost. (There is an episode of “Silicon Valley” in which a character tries to trick a classroom of college students into labeling images as a homework assignment so he can use them to train an AI image identification system.) Self-supervised learning removes that barrier. The AI model can learn from data that’s already out there, without any special labels.
Self-supervised learning enables pre-training an AI model on massive amounts of general-purpose data. That way, it can bring a ton of knowledge to the table in response to a specific prompt.
Applying self-supervised learning to programmatic advertising
Get our editors’ roundup delivered to your inbox every weekday.
What does self-supervised learning have to do with signal loss in programmatic advertising?
At the core of the signal loss problem is this question: How do you make an ad-targeting decision without the wealth of user-specific data we’ve all been spoiled with? Using just the information about the impression moment itself, like URL, time of day and DMA, how do you answer the question, “How valuable is this impression to this brand’s campaign?”
This is where pre-training comes in. Like ChatGPT, programmatic advertising needs AI models that harness their own foundation of knowledge in response to these impossibly tiny prompts. But, in this case, the knowledge we need isn’t about language; it’s about digital behavior. Rather than pre-training on sentence data, an ad targeting AI model would need to pre-train on the patterns and nuances of digital behavior.
Digital journeys from opted-in panels, collected outside of the advertising ecosystem, are ideal for this self-supervised learning task. Where ChatGPT learns by predicting the next word in a sentence, an ad targeting AI model can learn by predicting the next website in a digital journey.
As with other self-supervised learning processes, this allows the AI model to learn an impressive breadth of knowledge. In this case, the AI model learns what a visit to each website means, the intent behind each visit and that visit’s role in someone’s digital journey.
This allows the AI model to bring a wealth of knowledge in response to that tiny prompt – “How valuable is this impression moment to this brand’s campaign?” – and produce an impressively accurate response.
Do more with less data
The industry faces plenty of uncertainty as we prepare for the deprecation of third-party cookies in 2024. But one sure thing is advertisers will need to do more with less user data.
Pre-training with self-supervised learning provides a way for AI models to bring their own foundation of knowledge to the table, so that less data is needed to make each buying decision within a campaign. It’s an approach with the potential to eliminate the reliance on user-level data for effective targeting. That makes self-supervised learning a rare technology that can simultaneously support both consumer privacy and advertiser effectiveness.
“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.
For more articles featuring Melinda Han Williams, click here.
Thu, 04 Jan 2024 14:35:00 -0600en-UStext/htmlhttps://www.adexchanger.com/data-driven-thinking/how-self-supervised-learning-in-ai-can-reduce-reliance-on-user-data/Professional LearningNo result found, try new keyword!This section has useful information about the range of learning and teaching focused professional development, including induction sessions, certificated programmes and experiential routes to ...Thu, 26 Aug 2021 11:00:00 -0500en-GBtext/htmlhttps://www.ulster.ac.uk/learningenhancement/cppe/proflearningZojirushi’s Rice Cookers Take the Guesswork Out of Cooking Rice, and Several Models Are on Sale Right Now at AmazonNo result found, try new keyword!Rice is an essential part of so many dishes, from stir-fry to creamy rice pudding. Though it appears as an unassuming ingredient, undercooked or overcooked, it can completely make or break a dish.Tue, 02 Jan 2024 19:30:00 -0600en-ustext/htmlhttps://www.msn.com/The 15 most popular Amazon products of 2023 per Yahoo readers (and you'll love 'em in 2024, too)
The end of the year is often a time of reflection — and as shopping writers, we thought it would be fitting to reflect back on the most popular products among Yahoo readers. After all, our goal is to take the mystery out of shopping by finding the best products for the best prices and ensure your hard-earned money is being spent as wisely as possible. Well, apparently we hit the nail on the head with these 15 winners from Amazon, which span everything from top tech items, home goods and kitchen essentials to beauty and style must-haves. Among the hits we saw trending in 2023? Ever-popular Apple AirPods, along with not one, but two top-rated knife sets, a bestselling car vacuum and the handiest little electric scrubber there ever was.
Keep studying to see what else made the cut — you never know what the 2024 trends will end up being, but we're confident you'll love these timeless picks in the New Year and beyond!
Most popular home products 2023
Amazon
If you're thinking this handheld gadget closely resembles an electric toothbrush, that's essentially what it is — only instead of putting the Rubbermaid Reveal Power Scrubber in your mouth, you'll use it to blast away dirt and grime from every crevice in your bathroom (or any small area in your home needing a good cleansing, for that matter). It does practically all of the heavy lifting for you via its 6 volts of power and oscillating head, which scrubs a whopping 60 times per second. According to the brand, it also works twice as fast as a standard scrub brush. A time and energy saver? We love to see it.
"I never write reviews — but I had to write about this amazing little tool," gushed a five-star reviewer. "I just bought a new house and wasn't going to replace kitchen and bathroom floors. I spent an hour or so with this little tool and some grout cleaner, and my old kitchen floors look alive again. I'm shocked. And very, very happy."
Car floor looking a little crumb-y? Then it's this No. 1 bestselling car vacuum to the rescue! Weighing just 2.4 pounds, it's easy to maneuver, whether using it to zap up pet hair from the seats, fast food remnants on the floor or the layer of dust blanketing the dashboard. It comes with three attachments for targeting different types of spaces and messes, and its 16-foot cord even reaches the trunk. This model even has a handy light and HEPA filter to help purify the air.
"This is the best auto vacuum I have used," wrote an impressed customer. "It gets the things that other vacuums have not, like the fine dust that collects on the dash and console. The attachments seem built for a car, as does the design and shape of this machine. Kudos to the design engineers. ThisWorx is well named because it does."
Whether you're storing shorts and sundresses in the winter or puffer coats and comforters in the summer, these roomy storage bags will keep everything nice and organized from season to season. Each one has an impressive 60-liter capacity, along with see-through front panels so you won't forget what you stashed in them.
"I can't say enough how these containers have changed my life," raved one shopper. "These are handy to reorganize your closets, bedroom or anywhere in your house. They are strong and are stackable. I would recommend these."
Ready to finally trade your fraying wired earbuds for a sleek pair of Apple AirPods? These second-gen top-sellers have hundreds of thousands of perfect ratings for a reason — well, multiple reasons: clear, rich sound quality, 24-hour battery life and the fact that you won't find yourself tangled up in cords if you accidentally fall asleep with them in.
"I've had a real problem with finding comfortable earbuds and for years have stuck to the one [pair of] corded earbuds that were comfortable and didn't fall out," wrote one Apple convert. "I thought it was finally time to try these as I transitioned to only having a cellphone. I was surprised at how comfortable they are. The sound quality is good, and the charge lasts a long time. I'm a believer!"
Of course, you don't have to spring for AirPods if your staticky old headphones are in need of an upgrade. This affordable pair has won over thousands of Amazon shoppers, thanks to its immersive stereo sound quality, comfortable feel and up to 50 hours of playtime.
"My wife purchased these buds for me weeks ago," shared a verified listener. "I am 79 years old and not high-tech. The earbuds are very easy to use and fit comfortably in my ears. I am now able to listen to music and YouTube while she watches TV. The sound quality is fantastic."
Keep your eyes and hands on the road while having your phone close by, thanks to this No. 1 bestselling phone mount. It sticks right onto your dashboard or windshield (its strong suction was designed to withstand bumps and turns!) and even has a telescopic arm that lets you adjust the viewing angle.
"I always wanted a phone mount that was eye-level, and after doing some research landed on the Suuson car phone holder mount, and I love it!" raved a happy driver. "Easy to maneuver if the sun shines on the screen. My iPhone fits perfectly! All the parts are sturdy, and it is securely mounted! Why did I wait so long?"
Never have a dull moment in the kitchen again, thanks to this No. 1 bestselling knife sharpener. Equipped with three slots for sharpening, repairing, straightening and polishing, it'll take your old blades from worn-out to like-new in just a few swipes. Plus, it comes with a handy cut-resistant glove to spare you from painful nicks.
"This is an incredible tool," exclaimed a happy home cook. "Five-year-old expensive knives that I knew were dull feel like new — I didn’t realize how bad they were until I cut an onion right after sharpening them with this tool. Amazing."
This No. 1 bestseller comes with just about every type of blade a home cook could need: a 3-inch paring knife, 5-inch serrated utility knife, 7-inch santoku knife, 8-inch chef's knife, 8-inch bread knife and six 4.5-inch steak knives, as well as a professional honing steel, kitchen shears and a hardwood knife block. Henckels has been crafting quality knives for over a century, so you can rest assured the brand knows what it's doing.
"Finally, sharp (and safe) knives," wrote a satisfied shopper. "I have been used to ordinary knives until my brother, who is a chef, convinced me to upgrade to Henckels. I must admit, I was a bit nervous at first, worrying about cutting myself, but the grip on these knives keeps my hands from slipping. They are extremely sharp and do a great job in the kitchen."
Slicing and dicing just got way more fun, thanks to this colorful knife set from Cuisinart. You'll get an 8-inch chef knife, 8-inch slicing knife, 8-inch serrated bread knife, 7-inch santoku knife, 6.5-inch utility knife, 3.5-inch paring knife and protective sheaths for each. Since they're color-coded, you can designate one for meats, one for vegetables, etc. No cross-contamination to see here!
One happy reviewer wrote: "This knife set made me a pro in the kitchen. ... They cut like butter. They wash like glass. ... I actually purchased these knives for my husband and my son. My husband is the cook in the house, and my son is learning. I wanted them to have good stuff to use and no more of that cheap junk that you have to saw to cut meat. These knives cut in one little slice. Now I'm in the kitchen cutting up stuff, probably for no good reason."
If your under-eye area could use a little freshening up, it's this No. 1 bestselling cream to the rescue! Formulated with moisturizing hyaluronic acid, calming niacinamide and three essential ceramides, it helps maintain and restore the skin barrier to preserve hydration and minimize the appearance of dark circles and puffiness. Now no one has to know you were up all night scrolling on your phone instead of getting your eight hours in. Even celebs like Olivia Wilde are fans.
"I inherited very noticeable bags under my eyes (thanks, Mom), and they age me even beyond my 71 years of age," shared a content customer. "I've used this faithfully at least once a day and can see a significant improvement. Cream soaks in quickly and I've noticed no scent or objection from the sensitive areas above or below my eyes. I'll continue to use!"
Not only does this popular shampoo smell like a dream (if you like an herbaceous minty scent, that is), it also helps promote the growth of longer, stronger hair, thanks to its biotin-packed formula. The ingredient is touted as a remedy for weak, breakage-prone hair and split-ends, allowing you to keep more strands intact — and they'll feel and look healthier, too.
"I'm 65 and have suffered hair loss the last few years with two visible bald spots," shared an impressed shopper. "I've been using this for roughly a month and have so much new growth! My husband even said, 'Your hair looks so thick!' I can totally tell a difference and will be stocking up!"
Salma Hayek is a fan of the main ingredient in this cream — tepezcohuite — which, along with vitamins A and E, is said to help hydrate skin, increase elasticity and reduce the appearance of wrinkles and fine lines. Just dab some onto your freshly washed face before bed for an a.m. refresh.
"In all of my decades of trying skin-care products, tepezcohuite has been the most transformative product I have ever used," declared an excited reviewer. "In just a week's worth of use, morning and night, I see a noticeable improvement in my skin's tone, feel and texture. My 67-plus-year-old skin glows again for the first time in decades."
Keep your feet nice and toasty with these top-selling wool socks, which come in the cutest colors and prints. They're soft and warm, yet breathable — stock up before January and February rear their frigid heads!
"I bought these for a trip to Alaska," wrote one shopper. "These are literally the warmest socks I own. [They] fit perfect to size, haven't shrunk and [are] super warm. [They] do not make your feet sweat. ... Buy them — your feet will be happy you did!"
Finding a bra that's comfortable, supportive, offers full coverage and doesn't look like it was made during colonial times is a pretty impressive feat — but we think we've done it. This Playtex wireless bra has tens of thousands of perfect ratings, thanks to its cooling, moisture-wicking fabric, four-way wireless support (no painful digging!), Magic Ring construction for a natural lift and smoothing satin panels on the sides and back. With 14 lovely colors to choose from, it's a really pretty undergarment too!
"This bra says 18 hours and completely lives up to that promise," raved a happy fan. "It fits perfectly when you measure for the proper fit; it is soft, not scratchy, and does not cut into my shoulders to provide support for my large chest. I am absolutely getting more!"
For many of us, Hanes is synonymous with comfort, and these top-selling shorts are no exception. They're made from an ultra-soft cotton blend and have a stretchy waistband with drawstring for a custom fit. Oh, and pockets, of course. Get 'em now and love 'em all year long — they come in four colors and sizes S-XXL.
"As a 68-year-old woman, there are few shorts I will wear, but these are terrific!" gushed a Hanes enthusiast. "I walk a lot, and these are super comfy and well-fitting, great for lounging as well."
The reviews quoted above reflect the most latest versions at the time of publication.
Fri, 29 Dec 2023 07:29:00 -0600en-UStext/htmlhttps://www.yahoo.com/lifestyle/the-15-most-popular-amazon-products-of-2023-per-yahoo-readers-and-youll-love-em-in-2024-too-212723601.htmlAmazon: Firing On All Cylinders Amidst Valuation And Growth Risks
I bought Amazon (NASDAQ:AMZN) shares in early 2023 when the stock was trading 40-50% below its all-time high. While the price has risen over 75% since its December 2022 low, I don't think it is too late to purchase a stake, considering the exceptional innovation in product and service offerings and strong financials. There are risks, primarily the valuation and revenue growth rate concerns, which deter me from allocating higher than 7.5-10% in my portfolio.
Operations Analysis
The company has made significant strides in 2023, introducing the MK30 delivery drone, which should reduce noise and is smaller and lighter than the current MK27 model. Drone deliveries are expanding in the U.S. and overseas, with planned drone operations in Italy and the UK by late 2024. Amazon Pharmacy has also announced the delivery of medications to people's homes in less than 60 minutes in College Station, Texas, using drones. Customers will have 500+ medications available to them.
The company is also using robotics to aid employees in delivery. New innovations such as Sequoia will identify and store inventory at Amazon sites up to 75% faster. The firm is also implementing Automated Vehicle Inspection, or AVI, which is going to help maintain delivery fleets and reduce manual labor time. AVI will be utilized in the U.S., the UK, Canada and Germany initially.
These AI and robotics implementations are critical examples of how I think Amazon is making crucial strides in technological innovation, which is going to drive both revenues based on customer satisfaction and retention (faster delivery times, more access to wider products) but also increase margins significantly over time. The natural progress of this will undoubtedly be less headcount at Amazon and an increase in automated processes—this is something we are going to see across the international economy, and stocks will continue to grow, in my opinion, as the labor market inevitably changes.
Amazon has also launched the Echo Hub, with the ability to control more than 140,000 smart home devices, and many updates to its exiting smart home products, including generative AI in Alexa. The organization is also upgrading its home security product set. The Ring Stick Up Cam Pro refines alert processes using 3D motion detection and radar, for example.
AWS
Amazon Web Services is experiencing significant growth in abilities, with a heavy focus on generative AI. Amazon Q is an AI chatbot designed for work environments with synthesis to AWS operations. New AWS chips, AWS Graviton4 and AWS Trainium2, will enhance Amazon's generative AI, and the company has improved machine learning with SageMaker Large Model Inference DLC, SageMaker HyperPod, and Automated Notebooks.
The company has also launched S3 Express One Zone for high-performance storage and updated existing Aurora, Redshift, and other database offerings. It has also announced AWS Resilience Competency, an offering to help Improve cloud workload resilience. Amazon is also beginning to operate in quantum computing for enhanced backup and recovery services.
Financials
Amazon's Quant Factor Grades versus its major peers supply us a clear understanding of how the company is firing on all major cylinders except valuation. Even then, the company seemingly deserves a high valuation and is not directly responsible for excessive investor sentiment.
By delving deeper into the specifics, using Seeking Alpha's charting system, I can piece together a 10-year profile for Amazon's revenues and margins to ascertain its historical financial performance in more detail.
Indeed, from this chart, we can see a significant drop in net income from $33.36 billion in December 2021 to -$2.72 billion in December 2022. While the net income has now risen back up to $20.08 billion in September 2023, this drop is the core reason for the latest stock price decline.
One of the primary reasons for the net income loss during the period of decline was Amazon's investment in Rivian Automotive (RIVN), a startup focusing on EVs. Amazon's $700 million investment in the company in 2019 has fallen over 80% since it went public in November 2021. A rise in technology and payroll costs also impacted net income for the period. The cost of technology and content was 11.9% of revenue in 2021, rising to 14.2% in 2022. Marketing costs also rose from 6.9% of revenue in 2021 to 8.2% of revenue in 2022.
While these past significant operational and financial results were the leading cause of the decline, latest earnings results have reported the company to be back on track. Net income was $4.29 billion in March 2023, $13.07 billion in June 2023, and $20.08 billion in September 2023, revealing strong earnings growth in response to the latest challenges. This has been driven by growth in AWS, which has seen sales growing 12% year-over-year to $23.1 billion, as well as improvements in efficiency related to streamlining operations. The company announced in 2023 that it would cut more than 18,000 jobs, approximately 6% of Amazon's corporate staff. Growth in advertising sales and good retail performance have also contributed. We can see the outsized effects of Amazon's operational successes from the following chart; the company has beaten consensus estimates significantly for the last three earnings reports.
Valuation Concerns
Even with such good momentum following a difficult 2022, the firm has two major risks from an investment standpoint, in my opinion. The first is its stock valuation.
This is especially true when analyzing the company in relation to its peers. When looking at Amazon versus JD.com (JD) and Alibaba (BABA), two major marketplace competitors from China, Amazon seems significantly overvalued relatively. While it arguably deserves to be so when considering the massive revenue advantage it has, Alibaba's net income is much stronger than both Amazon and JD.
Yet, to contribute to Amazon's favor, I think it's worth understanding that the company has long-term increasing equity and decreasing total liabilities, further supporting it as a strong investment valued highly based on reasonable investor sentiment.
Growth Risks
The second major risk I attribute to Amazon shares right now is its long-term growth, specifically in relation to revenue growth. Consensus earnings estimates for 2024 are strong, but I'd like to look closely at the revenue projections and also understand some of the operational hazards that could inhibit revenue growth rates.
These estimates represent continued revenue growth but a slowdown in the revenue growth rates. While this might present concern, the shift appears to be toward EPS growth, which is what keeps the company looking strong in 2024 and beyond. I think this will be further optimized through the use of AI, directly related to innovations pioneered by AWS and implemented across its segments. It is my opinion that Amazon could be among the companies with the highest margin increase as a result of AI as it integrates drone technologies, warehouse management robotics, and other lower-cost alternatives to human labor.
I have looked at specific revenue growth risks from the dominant segments. The first graph presents the AWS revenue growth rate long-term decline. The second graph shows a similar decline in retail segments. The third graph shows each revenue segment contributing to the total of Amazon's net revenues.
This data shows a considerable concern on investors' hands, which is the evident revenue growth plateau Amazon is currently experiencing and has been for some time.
To counter this, the company's net income has been going up significantly since 2016, and it is my opinion that the organization is incredibly well-equipped to maximize organizational efficiencies in contributing to a long-term high margin through a largely automated company with very large earnings coming as a result. I think the company's cost of goods sold is going to go down as more automated processes are used (refer to my operational analysis above), significantly increasing the company's gross margins further over time.
Conclusion
I think Amazon is an exceptional company. Given its size and market saturation, it is obvious that it would inevitably encounter some revenue growth issues. Yet, I find it interesting that the company still has strong earnings growth potential and long-term operational advantages, largely attributed to AWS and its implementation in other segments of the business. I think the increase in Amazon's efficiency and margins will be its strongest suit moving forward.
The risks are significant, including a less-than-ideal valuation and a chance that automated operations may be more costly than initially intended due to technological challenges and regulatory hurdles, but my investor sentiment is very strong for the company on the whole, with an analyst rating of Buy.
Tue, 02 Jan 2024 14:28:00 -0600entext/htmlhttps://seekingalpha.com/article/4660867-amazon-firing-on-all-cylinders-amidst-valuation-and-growth-risksProfessional development and lifelong learning
The spring 2024 program guide from the University of Delaware’s Division of Professional and Continuing Studies (UD PCS) is available online.
With a theme of “The Power of Lifelong Learning,” the catalog highlights a wide range of educational opportunities for learners of almost any age, career path or background. From pre-college programs that allow high school students to enroll in UD courses or prepare for college entrance exams, to classes that aid in career training and professional growth, to lifelong learning programs for adults age 50 and over, UD PCS supports learners’ educational goals.
Along with featuring upcoming business, healthcare, IT and legal program offerings, the publication highlights the resources and services UD PCS provides, such as career tools for program participants, free continuing education planning and advisement, and a spring virtual information session.
Most noncredit professional development programs are offered online, with financial assistance options like scholarships, payment plans or discounts.
The public and the UD community are invited to learn more about spring 2024 programs at an online information session Jan. 11 at 7 p.m. Programs covered include brewing science, clinical trials management, cybersecurity, drone pilot, nonprofit management, paralegal, project management, sales operations, business analytics, instructional design, Montessori teaching, social media and digital marketing, mindfulness-based stress reduction, and RN refresher education.
For details or to view the catalog, please visit the website.
Exam Simulator 3.0.9 uses the actual Amazon DOP-C01 questions and answers that make up Exam Braindumps. DOP-C01 Exam Simulator is full screen windows application that provide you the experience of same test environment as you experience in test center.
We are a group of Certified Professionals, working hard to provide up to date and 100% valid test questions and answers.
Who We Are
We help people to pass their complicated and difficult Amazon DOP-C01 exams with short cut Amazon DOP-C01 Exam Braindumps that we collect from professional team of Killexams.com
What We Do
We provide actual Amazon DOP-C01 questions and answers in Exam Braindumps that we obtain from killexams.com. These Exam Braindumps contains up to date Amazon DOP-C01 questions and answers that help to pass exam at first attempt. Killexams.com develop Exam Simulator for realistic exam experience. Exam simulator helps to memorize and practice questions and answers. We take premium exams from Killexams.com
Why Choose Us
Exam Braindumps that we provide is updated on regular basis. All the Questions and Answers are verified and corrected by certified professionals. Online test help is provided 24x7 by our certified professionals. Our source of exam questions is killexams.com which is best certification exam Braindumps provider in the market.
97,860
Happy clients
245
Vendors
6,300
Exams Provided
7,110
Testimonials
Premium DOP-C01 Full Version
Our premium DOP-C01 - AWS DevOps Engineer Professional (DOP-C01) contains complete question bank contains actual exam questions. Premium DOP-C01 braindumps are updated on regular basis and verified by certified professionals. There is one time payment during 3 months, no auto renewal and no hidden charges. During 3 months any change in the exam questions and answers will be available in your download section and you will be intimated by email to re-download the exam file after update.
Contact Us
We provide Live Chat and Email Support 24x7. Our certification team is available only on email. Order and Troubleshooting support is available 24x7.