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MLS-C01 basics - AWS Certified Machine Learning Specialty (MLS-C01) Updated: 2024 | ||||||||
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Exam Code: MLS-C01 AWS Certified Machine Learning Specialty (MLS-C01) basics January 2024 by Killexams.com team | ||||||||
AWS Certified Machine Learning Specialty (MLS-C01) Amazon Certified basics | ||||||||
Other Amazon examsAWS-CSAP AWS Certified Solutions Architect - Professional (SOP-C01)AWS-CSS AWS Certified Security - Specialty ( (SCS-C01) AWS-CDBS AWS Certified Database-Specialty (DBS-C01) CLF-C01 AWS Certified Cloud Practitioner (CLF-C01) DOP-C01 AWS DevOps Engineer Professional (DOP-C01) DVA-C01 AWS Certified Developer -Associate (DVA-C01) MLS-C01 AWS Certified Machine Learning Specialty (MLS-C01) SCS-C01 AWS Certified Security - Specialty (SCS-C01) SAA-C02 AWS Certified Solutions Architect - Associate - 2023 SOA-C02 AWS Certified SysOps Administrator - Associate (SOA-C02) DAS-C01 AWS Certified Data Analytics - Specialty (DAS-C01) SAP-C01 AWS Certified Solutions Architect Professional SAA-C03 AWS Certified Solutions Architect - Associate ANS-C01 AWS Certified Advanced Networking - Specialty exam (ANS-C01) SAP-C02 AWS Certified Solutions Architect - Professional PAS-C01 SAP on AWS - Specialty Certification DOP-C02 AWS Certified DevOps Engineer - Professional DVA-C02 AWS Certified Developer - Associate SCS-C02 AWS Certified Security - Specialty CLF-C02 AWS Certified Cloud Practitioner DBS-C01 AWS Certified Database - Specialty | ||||||||
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MLS-C01 Dumps MLS-C01 Braindumps MLS-C01 Real Questions MLS-C01 Practice Test MLS-C01 dumps free Amazon MLS-C01 AWS Certified Machine Learning Specialty (MLS-C01) http://killexams.com/pass4sure/exam-detail/MLS-C01 Question: 52 A Machine Learning Specialist is building a model that will perform time series forecasting using Amazon SageMaker. The Specialist has finished training the model and is now planning to perform load testing on the endpoint so they can configure Auto Scaling for the model variant. Which approach will allow the Specialist to review the latency, memory utilization, and CPU utilization during the load test? A. Review SageMaker logs that have been written to Amazon S3 by leveraging Amazon Athena and Amazon QuickSight to visualize logs as they are being produced. B. Generate an Amazon CloudWatch dashboard to create a single view for the latency, memory utilization, and CPU utilization metrics that are outputted by Amazon SageMaker. C. Build custom Amazon CloudWatch Logs and then leverage Amazon ES and Kibana to query and visualize the log data as it is generated by Amazon SageMaker. D. Send Amazon CloudWatch Logs that were generated by Amazon SageMaker to Amazon ES and use Kibana to query and visualize the log data Answer: B Reference: https://docs.aws.amazon.com/sagemaker/latest/dg/monitoring-cloudwatch.html Question: 53 A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data Which solution requires the LEAST effort to be able to query this data? A. Use AWS Data Pipeline to transform the data and Amazon RDS to run queries. B. Use AWS Glue to catalogue the data and Amazon Athena to run queries. C. Use AWS Batch to run ETL on the data and Amazon Aurora to run the queries. D. Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries. Answer: B Question: 54 A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket. The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance. Which approach allows the Specialist to use all the data to train the model? A. Load a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Initiate a SageMaker training job using the full dataset from theS3 bucket using Pipe input mode. B. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to the instance. Train on a small amount of the data to verify the training code and hyperparameters. Go back to Amazon SageMaker andtrain using the full dataset C. Use AWS Glue to train a model using a small subset of the data to confirm that the data will be compatible with Amazon SageMaker. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode. D. Load a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Launch an Amazon EC2 instance with an AWS Deep LearningAMI and attach the S3 bucket to train the full dataset. Answer: A Question: 55 A Data Engineer needs to build a model using a dataset containing customer credit card information How can the Data Engineer ensure the data remains encrypted and the credit card information is secure? A. Use a custom encryption algorithm to encrypt the data and store the data on an Amazon SageMaker instance in a VPC. Use the SageMaker DeepAR algorithm to randomize the credit card numbers. B. Use an IAM policy to encrypt the data on the Amazon S3 bucket and Amazon Kinesis to automatically discard credit card numbers and insert fake credit card numbers. C. Use an Amazon SageMaker launch configuration to encrypt the data once it is copied to the SageMaker instance in a VPC. Use the SageMaker principal component analysis (PCA) algorithm to reduce the length of the credit cardnumbers. D. Use AWS KMS to encrypt the data on Amazon S3 and Amazon SageMaker, and redact the credit card numbers from the customer data with AWS Glue. Answer: C Reference: https://docs.aws.amazon.com/sagemaker/latest/dg/pca.html Question: 56 A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private subnet of a corporate VPC. The ML Specialist has important data stored on the Amazon SageMaker notebook instances Amazon EBS volume, and needs to take a snapshot of that EBS volume. However, the ML Specialist cannot find the Amazon SageMaker notebook instances EBS volume or Amazon EC2 instance within the VPC. Why is the ML Specialist not seeing the instance visible in the VPC? A. Amazon SageMaker notebook instances are based on the EC2 instances within the customer account, but they run outside of VPCs. B. Amazon SageMaker notebook instances are based on the Amazon ECS service within customer accounts. C. Amazon SageMaker notebook instances are based on EC2 instances running within AWS service accounts. D. Amazon SageMaker notebook instances are based on AWS ECS instances running within AWS service accounts. Answer: C Reference: https://docs.aws.amazon.com/sagemaker/latest/dg/gs-setup-working-env.html Question: 57 A Machine Learning Specialist is designing a system for improving sales for a company. The objective is to use the large amount of information the company has on users behavior and product preferences to predict which products users would like based on the users similarity to other users. What should the Specialist do to meet this objective? A. Build a content-based filtering recommendation engine with Apache Spark ML on Amazon EMR B. Build a collaborative filtering recommendation engine with Apache Spark ML on Amazon EMR. C. Build a model-based filtering recommendation engine with Apache Spark ML on Amazon EMR D. Build a combinative filtering recommendation engine with Apache Spark ML on Amazon EMR Answer: B Many developers want to implement the famous Amazon model that was used to power the "People who bought this also bought these items" feature on Amazon.com. This model is based on a method called Collaborative Filtering. It takes items such as movies, books, and products that were rated highly by a set of users and recommending them to other users who also gave them high ratings. This method works well in domains where explicit ratings or implicit user actions can be gathered and analyzed. Reference: https://aws.amazon.com/blogs/big-data/building-a-recommendation-engine-with-spark-ml-on-amazon-emr-using-zeppelin/ Question: 58 A Mobile Network Operator is building an analytics platform to analyze and optimize a companys operations using Amazon Athena and Amazon S3. The source systems send data in .CSV format in real time. The Data Engineering team wants to transform the data to the Apache Parquet format before storing it on Amazon S3. Which solution takes the LEAST effort to implement? A. Ingest .CSV data using Apache Kafka Streams on Amazon EC2 instances and use Kafka Connect S3 to serialize data as Parquet B. Ingest .CSV data from Amazon Kinesis Data Streams and use Amazon Glue to convert data into Parquet. C. Ingest .CSV data using Apache Spark Structured Streaming in an Amazon EMR cluster and use Apache Spark to convert data into Parquet. D. Ingest .CSV data from Amazon Kinesis Data Streams and use Amazon Kinesis Data Firehose to convert data into Parquet. Answer: C Question: 59 A city wants to monitor its air quality to address the consequences of air pollution. A Machine Learning Specialist needs to forecast the air quality in parts per million of contaminates for the next 2 days in the city. As this is a prototype, only daily data from the last year is available. Which model is MOST likely to provide the best results in Amazon SageMaker? A. Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the single time series consisting of the full year of data with a predictor_type of regressor. B. Use Amazon SageMaker Random Cut Forest (RCF) on the single time series consisting of the full year of data. C. Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year of data with a predictor_type of regressor. D. Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year of data with a predictor_type of classifier. Answer: C Reference: https://aws.amazon.com/blogs/machine-learning/build-a-model-to-predict-the-impact-of-weather-on-urban-air-quality- using-amazon-sagemaker/? ref=Welcome.AI Question: 60 A large mobile network operating company is building a machine learning model to predict customers who are likely to unsubscribe from the service. The company plans to offer an incentive for these customers as the cost of churn is far greater than the cost of the incentive. The model produces the following confusion matrix after evaluating on a test dataset of 100 customers: Based on the model evaluation results, why is this a viable model for production? A. The model is 86% accurate and the cost incurred by the company as a result of false negatives is less than the false positives. B. The precision of the model is 86%, which is less than the accuracy of the model. C. The model is 86% accurate and the cost incurred by the company as a result of false positives is less than the false negatives. D. The precision of the model is 86%, which is greater than the accuracy of the model. Answer: A For More exams visit https://killexams.com/vendors-exam-list Kill your exam at First Attempt....Guaranteed! | ||||||||
The Amazon Basics 21-Inch Hardside Spinner is part of the Luggage test program at Consumer Reports. In our lab tests, Carry-On Luggage models like the 21-Inch Hardside Spinner are rated on multiple criteria, such as those listed below. Usability An evaluation of the ease of opening, closing, and loading of the piece of luggage. Attention was also focused on the function of internal zippers and straps used to properly secure items, as well as the use and function of the telescopic handle. Impact resistance A measure of the piece of luggage's ability to resist damage from being dropped, pulled or having other items dropped onto it. Carrying and pulling A measure of how a piece of luggage performs during various carrying and pulling tasks. Everyone needs sleep â itâs one of the few things we all have in common. And though sleep is one of the most basic of human needs, Americans are notoriously sleep-deprived. Crazy, right? Especially when you consider all the known benefits of a good nightâs sleep, such as reduced stress, improved mood and a better immune system. If that sounds good to you, we've found a pretty irresistible deal on a tried-and-true slumber helper: The super-popular Mavogel Sleep Mask is down to only $8 (from $20) during Amazon's Winter Sale. Want even more savings? Check out our roundup of all the best Amazon Winter Sale deals. This sleep mask is made with five layers of cushy, breathable material for comfort and it has two special cotton triangles on each side to eliminate any light from seeping in. Why is this a good deal?That's right, this sleep mask is discounted by nearly 60%! It rarely dips below its current price (we haven't seen it on sale for less in months), so if you're considering it, we'd suggest adding it to your cart while you can save big, and start improving your slumber ASAP. Why do I need this?If you struggle to clock the golden seven to eight hours of sleep each night, itâs natural to seek out a bit of help. âYou may not know why youâre not sleeping well, and itâs perfectly reasonable to try different things out to see if they work for you," board-certified sleep medicine researcher W. Chris Winter, MD, of Charlottesville Neurology and Sleep Medicine and author of The Sleep Solution: Why Your Sleep Is Broken and How to Fix It, tells Yahoo Life. On your quest for better sleep, it's important to first check your sleep hygiene â that is, the things you're doing to help create the best environment possible to help you fall asleep and stay that way through the night. Discovering the right sleep aid is a personal process, but sleep masks are known to âgive you more control over the darkness you're exposed to, and can be really helpful," says Winter. Made of five layers of super-breathable fabric for maximum comfort and available in black or gray, the Mavogel Cotton Sleep Mask is a perfect choice. What reviewers sayMore than 55,000 five-star reviewers are well-rested thanks to this mask. âI had other sleep masks I bought on Amazon that were cheap and fell apart," wrote one now-sound sleeper. "This mask is clearly well-made, durable, super soft and comfortable. And the nose bridge has a metal wire so you can bend it around your nose to seal out light." "Buy it!" urged a fan who uses the mask to get sleep while traveling. "I can easily clip it into me as I'm boarding so I don't have to worry about where the mask is. It's super comfortable â think jersey material without the heat. Also, the nose has a wire in it, so you can pinch it or manipulate it to fit your nose, which minimizes the sun. ... This is my go-to mask for travel." âI love this mask! Purchased it in gray several months ago and itâs in great shape," said another happy customer. "I like the comfortable cotton, the flexible but not awkwardly rigid nose piece, and the great coverage that doesnât let any light in anywhere. ... Really improves my sleep quality and ability to fall back asleep.â Their update, however, said: "Several months later, this mask is just now starting to fail (elastic coming away from the fabric) â I machine wash and dry weekly with my regular laundry. Love this so much Iâm buying another!" (Note: For best results and longevity, hand wash only, per the manufacturer's instructions.) Prefer black? You can opt for this one â or grab two and alternate between black and gray. Need another layer of defense against sleepless nights? Shoppers swear by these earplugs to help them stay asleep. These popular reusable, moldable earplugs are a simple and affordable way to comfortably block out unwanted sounds (spousal snoring, noisy neighbors, too-tweety early birds, etc.). Save $7 with coupon $9 at Amazon"Perfect if you have a snorer in your life," raved a five-star fan. "...I have the most sensitive ears at night. I can not fall asleep with the sound of a measly fan, let alone a snorer. ... My roommate and best friend is the loudest snorer I have ever met, and thanks to these earplugs I can actually sleep peacefully. I no longer get enraged because I simply can't hear the snoring. They mold perfectly to your ears and are the perfect size to mold ... Simply the best purchase I've ever made!" If you have Amazon Prime, youâll get free shipping, of course. Not yet a member? No problem. You can sign up for your free 30-day trial here. (And by the way, those without Prime still get free shipping on orders of $25 or more.) The reviews quoted above reflect the most exact versions at the time of publication. Looking for more great Amazon home deals? Check these out:Auto
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Exciting: It's a New Year and a new beginning. Bummer: We're also battling yet another wave of illnesses, and it's too cold (in most places) to exercise outdoors. Quick Overview
Conclusion: This may be another winter of working out at home. And let's face it: You're probably overdue on upgrading your fitness gear. Luckily, Amazon is here to make it easier â and more affordable â than ever. To accommodate fitness resolutions nationwide, the retail giant just slashed prices on tons of fitness equipment as part of its excellent Winter Sale. If you were hesitant about getting your gear on before, consider this a signal to do so now. Weights strewn across your den, basement or garage floor are an accident waiting to happen â a stubbed toe, twisted ankle or worse. This little pyramid of dumbbells helps you stay safe, neat and organized. These 5-lb., 8-lb. and 12-lb. 'bells come in blue, yellow and orange, respectively. (PS: This set is also available in a 2- /3- /5-lb. ensemble.) "I started a workout program and needed weights for some of the routines," reported one happy customer. "I found this product and read the reviews and was sold. I have never owned dumbbells before and didn't really know what to look for to buy them. I love the great feel of them. The stand was as easy as 1-2-3 to assemble!.... Love my dumbbells and stand!" These hex dumbbells have a rubber coating to prevent scrapes and dings and, at 10 pounds apiece, are ideal for curls, chest presses, and weighted squats and lunges. Textured handles ensure a safe, secure grip. Said a five-star reviewer: "Perfect for my short workouts. Helps me to maintain good muscle strength at 75 years old." Exercising with a weighted ball helps you build core strength, Boost coordination and mix it up a bit, when it comes to cardio. This No. 1 bestseller strikes a nice balance between healthy exertion and manageability. You can toss it back and forth with a gym buddy as a medicine ball or bounce it against a wall for solo exercise. Need to up your challenge level? Do more reps! "I have 3 of these in different weights. Very durable and varies my workouts," shared a happy shopper. "These have really helped with a exact rotator cuff tear, and I have been able to strengthen it without surgery due to these. Buy without hesitation!" Kettlebells all but sold out when folks pivoted en masse to home workouts in 2020. If you've had one on your wish list forever, you're in luck. For just $18 you can get this 10-lb. kettlebell with a wide, easy-to-hold grip. Said a satisfied customer: "The handle is most comfortable, a good shape, easy to use in swings, or just to carry. Great product, and a competitive price compared to other makes." "Synopsis: Exactly what you need for a kettlebell with grip, ease of use, and solid construction," said another five-star reviewer. "Kettlebells can run extremely expensive depending on the make and model of the item â upwards of $2.50 per pound. This one being rubber, I was shocked to find the price so low." Bring some joy to your workout with this mini trampoline. According to Healthline, trampoline workouts help to relieve stress and build cardiovascular strength â and they may even Boost bone health. We love this one because it's lightweight and stable, and it comes with an app that provides workouts audio and video workouts. "Wonderful â incredible value for money," wrote one of more than 10,000 five-star fans. "[It] hasn't suffered any damage in over a year of heavy use, quiet and lightweight in an apartment, perfect for getting in exercise during rainy days in the pandemic." Rolling out muscles daily with a good foam roller helps relieve and prevent pain. Just as a massage would, rolling releases fascia â the connective tissues that wraps around muscles, which can become tighter as we age, causing all sorts of discomfort. This popular firm foam roller is great for newbies because it comes with free access to instructional videos; you'll learn from certified trainers how to effectively roll, and how to target specific body parts. Said one of the 26,000+ reviewers: "I have been suffering from lower back pain for years now. I use this every day in the morning and sometimes in the evening. I found it really makes a difference. I am able to stretch without discomfort." With its LCD display showing your run time, distance, speed, calories burned, heart rate and more, this treadmill from SereneLife can be the centerpiece to your workout zone â and fitness regimen. No space? It folds up to get out of the way. This model offers twelve preset training modes and three levels of incline, so you can gradually build strength. More than 4,000 Amazon shoppers have given the SereneLife treadmill a perfect five-star rating. "I'm a senior. I just need to walk when it's cold and wet out. I wanted something I could move easily and small enough to not take the whole room. It's perfect," wrote a satisfied user. "Oh... and assembly was simple! It's practically all together from the box. 6 bolts and you're done." The reviews quoted above reflect the most exact versions at the time of publication. If you have Amazon Prime, youâll get free shipping, of course. Not yet a member? No problem. You can sign up for your free 30-day trial here. (And by the way, those without Prime still get free shipping on orders of $25 or more.) Looking for more great Amazon home deals? Check these out:Auto
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Investment thesisMy previous bullish thesis about Amazon (NASDAQ:AMZN) aged well, as the stock outperformed the S&P 500 since mid-September. A lot happened over the last three months, and today, I want to share with readers my view on how the exact developments will likely affect the company's future prospects. I think that the company is well-positioned to sustain its market leadership in the hot cloud computing industry, given strong strategic moves in this domain, including vast investments in in-house infrastructure as well as the strategic partnership with one of the leading generative artificial intelligence [AI] platforms, Anthropic. Prospects for the core e-commerce business are also bright as the management works on the improvements both from the customers' and merchants' sides. Furthermore, my valuation analysis suggests that AMZN is substantially undervalued, making it a compelling investment opportunity. All in all, I reiterate my "Strong Buy" rating for Amazon. Recent developmentsI will not dig into deep details regarding the company's latest quarterly earnings release, which took place in late October. I will just highlight that AMZN delivered a solid beat against consensus estimates, and the topline grew by 12.6% on a YoY basis, which looks impressive given the uncertain macro environment. AMZN delivered a solid operating margin expansion, to 7.8%, which enabled the company to substantially Boost its free cash flow [FCF]. The company generated almost $13 billion FCF in Q3, which enabled it to solidify its fortress financial position. The company's $64 billion cash pile makes it well-positioned to continue investing in R&D and strategic acquisitions to fuel further revenue growth. There were 26 upward EPS consensus revisions over the last 90 days, which is a bullish sign. In Q4, consensus estimates project revenue at $166 billion, indicating an 11.4% YoY growth. The expected adjusted EPS of $0.78 will be significantly stronger YoY, given last year's massive headwinds and the recording of the investment in Rivian Automotive (RIVN) in 2022. I also look with optimism on Amazon's Q4 earnings, given the record Thanksgiving spending online. Overall, according to statista.com, the 2023 holiday season U.S. online spending is expected to demonstrate an 11% YoY growth, which means Amazon is well-positioned to deliver robust Q4 financial performance. The next earnings release date is scheduled for February 2, 2024. As I have mentioned earlier, the company's strong financial position provides vast opportunities for shareholders to invest in long-term value. That said, the $4 billion investment in Anthropic, the AI developer, looks like a sound move for AWS to keep up with the major cloud competitors, Microsoft (MSFT) and Google (GOOG). I am optimistic about this acquisition because the generative AI capabilities are a crucial next step for cloud computing technologies. The fact that Amazon now partners with one of the leading generative AI platforms will highly likely add value to the company from a technological perspective. According to Bloomberg, the generative AI industry is forecasted to become a $1.3 trillion market by 2032. Given the fact that AWS has a massive 32% share in the global cloud computing industry, the company has massive growth potential in the generative AI field. Solid exposure to the emerging AI domain made AMZN one of the top picks for 2024 from Needham and Citi. Apart from strategic investments, Amazon also invests heavily in-house. The company continues investing heavily in its AWS infrastructure to sustain its cloud market leadership. exact news suggests that around $18 billion will be invested in its Canadian infrastructure over the next 15 years. The expanded infrastructure will Boost the quality of service delivered to AWS Canada customers. Overall, the company also plans to expand its AWS infrastructure to southeastern Asia as well. Let us also not forget about the core business, which generates the lion's part of total sales, the e-commerce. Amazon's leadership in the U.S. e-commerce industry is intact, and I see several positive developments here. The management continues to experiment with variations of Amazon Prime to add more value to its customers. From the merchants' perspective, Amazon also has a new set of initiatives to attract more Chinese merchants. The move looks sound given the fact that China is by far the world's largest exporter, and more Chinese merchants will highly likely drive Amazon's gross merchandise value. This will ultimately lead to Amazon's financial performance improvement. Apart from working hard on unlocking new potential for revenue growth, the management is also disciplined about the cost side of the profitability equation. The company already laid off thousands of employees early this year, and this process continues. About a month ago, Amazon cut "several hundred" jobs in its Alexa division, which means the management is still seeking for efficiencies. It is also crucial to understand that the positive effect of mass 2023 layoffs was not yet recorded in full this year, as the company offered generous severance packages to laid-off employees. However, in 2024, the effect of severance costs will likely be much lower as the pace of layoffs naturally decelerates. This will also help profitability in the next fiscal year. Last but not least, the exact important news regarding the expected 2024 digital advertising trends is also favorable for Amazon. According to Dentsu, global digital advertising spending is expected to grow by 6.5% in 2024, representing an overall 59% of the total spend. While Amazon's revenue from digital ads is still insignificant compared to the total sales, this is one of the company's fastest-growing revenue streams, and a solid tailwind behind its value will also likely add value to shareholders. It is also important to understand that the growth in the digital advertising industry is secular and is expected to accelerate in the years beyond 2024. The industry is expected to compound at 9.7% annually, which is also a solid secular tailwind for Amazon. Valuation updateAMZN rallied by 78% year-to-date, significantly outperforming the broader U.S. stock market. Given the company's unmatched scale and market position, AMZN's valuation ratios are substantially higher than the sector median across the board. Therefore, It is better to compare AMZN with its historical valuation averages. The current valuation ratios are notably lower than the last five years' averages, indicating undervaluation. I want to proceed with the discounted cash flow [DCF] simulation. The last time I simulated DCF for AMZN, I used a 10% discount rate. Today, I want to use a less conservative 9% WACC, given the Fed's announcement that rate cuts will start in 2024. Moreover, the 9% discount rate is within the range recommended by valueinvesting.io and I am comfortable with it. I use a TTM 2% FCF ex-SBC margin and expect a one percentage point yearly expansion as the business continues to scale up. Revenue consensus estimates project a 10% CAGR for the next decade, which I consider fairly conservative given AMZN's firm exposure to major global technological trends. According to my simulation, the business' fair value is $1.9 trillion, which is around 21% higher than the current market cap. That said, the valuation is very attractive, and my target price is $186 per share. Risks updateThere are just a few trading days left in 2023; the year has been very robust for Amazon stock, with a notable upward trajectory. As the rally goes on, the risk of a pullback caused by profit-taking increases as well. Investors, having enjoyed significant gains this year, may be tempted to realize their profits. This increases the risk of near-term volatility, and potential investors should be aware of this. It seems that the U.S. economy is on its path to a soft landing as the fight against inflation did not cause notable adverse trends in the labor markets, as unemployment rates are near all-time lows. However, in my opinion, the recession is still not off the table. The decrease in interest rates might cause a new spike in economic activity, which will drive the demand for oil and lead to energy commodities price increases. High oil prices will highly likely add inflationary pressures, which might force the Fed to pause rate cuts. And it will not be good news for growth investors. Bottom lineTo conclude, Amazon is still a "Strong Buy". The valuation looks extremely attractive for such a well-rounded company with leading exposure to major secular technological trends like cloud computing, AI, and e-commerce. I am optimistic about the exact developments as they included several sound strategic and tactical moves, which will highly likely build value for shareholders. | ||||||||
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