AWS Certified Machine Learning Specialty: Full Practice Exam (Udemy.com)

Test your readiness for the newest, toughest AWS certification (MLS-C01) with a full-length, realistic practice exam.

Created by: Sundog Education by Frank Kane

Produced in 2020

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Overall Score : 96 / 100

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Course Description

Nervous about the AWS Certified Machine Learning Specialty exam? You should be! It's arguably the toughest certification exam AWS offers, as it not only tests AWS-specific knowledge, but your practical experience in machine learning and deep learning in general. It's tough to know what to expect on the exam before going in.
This practice exam offers a realistic, full-length simulation of what you can expect in the AWS MLS-C01 exam. It's not a "brain dump," but a complete, 65-question, 3-hour practice exam with original questions of the same style, topics, difficulty, and breakdown of the real exam. It's a great test of your readiness before you decide to invest in the real exam, and a great way to see what sorts of topics the exam will touch on. We also include a 10-question warmup test that will give you a rough idea of your readiness in just a half an hour.
The author of this exam, Frank Kane, is a popular machine learning instructor on Udemy who passed the AWS Certified Machine Learning exam himself on the first try - as well as the AWS Certified Big Data Specialty exam, which the Machine Learning exam builds upon. Frank spent over 9 years working at Amazon itself in Seattle, as a senior manager specializing in some of Amazon's early machine learning development.
Just like the real exam, this practice exam tests four different domains:
  • Data Engineering
  • Exploratory Data Analysis
  • Modeling
  • Machine Learning Implementation and Operations
You'll need deep and broad knowledge of SageMaker and AWS's other machine learning services, including Rekognition, Translate, Polly, and Comprehend. You'll need to know how to process big data using Kinesis, S3, Glue, and Athena. And you'll need a strong knowledge of AWS security, including use of KMS and IAM.
But AWS knowledge is not enough to pass this practice exam, or the real thing! You also need deep knowledge on data science, feature engineering and tuning your machine learning models. Do you really understand regularization techniques and how to use them? Do you really understand precision, recall, and AUC? Do you know how different deep learning models work, and how they are used? This practice exam will let you find out. Every question includes an explanation of the correct answer as well.
Don't risk hundreds of dollars and hours of your time on the AWS Certified Machine Learning Exam until you're sure you're ready for it. This practice exam is a good test of that readiness, and a good taste of what to expect. It's worth the effort - this AWS certification is the most elite one there is right now!
This practice exam is a bargain compared to the official AWS practice exam, and it's three times as long! Buy it now, and get some extra peace of mind as you head into your testing center.Who this course is for:
  • Machine learning professionals testing their readiness for the AWS Certified Machine Learning Specialty exam.

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Instructor Details

Sundog Education by Frank Kane

Sundog Education's mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.
Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
Due to our volume of students we are unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.

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Reviews

4.8

18 total reviews

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By Kumar AWS on a week ago

Good Questions!

By Saurabh Saxena on a month ago

Passed the with a score of 955/1000 which translates to approximately 4 wrong questions out of 65. A lot of the credit goes to Frank for creating such a wonderful test set. The length and complexity of the questions and the module-wise question split in this course is very similar to that of the actual exam. The only difference is that in the actual exam the answers are even more close and confusing, in the sense that around 30% questions were too close to call and I had to use every iota of my memory , logic and general ML experience to finalize the answer. But this is only a minor issue since so far this is the best question set I have found on internet - way better than linuxacademy , acloudguru and AWS Official Practice exam( yes I took their tests as well). All in all very good place to test yourself once you have mastered the ML skills through various other courses , hands-on and AWS docs. I just wish Frank adds at least 1 or 2 more tests in this course.Full Disclaimer : I hold a M.S in Data Analytics and have done several MOOCs plus a lot of ML hands-on over the last couple of years. So don't just rely on this test, 50% of the questions are just pure ML , nothing to do with AWS. So prepare well and all the best :-)

By Lorenz Madarang on a month ago

The practice exam questions are similar to what you would see in the actual exam. This course helped with my preparation and I passed my exam.

By Eunice on a month ago

A well rounded questions that gauge my understanding, thus, allows me to brush up on my knowledge gap while studying for the certified exam.

By Anmol Gupta on a month ago

decent question. i would rate bit simpler then actual exam but still good to test your knowledge

By Muhsin Muhsino?lu on 3 months ago

better than its alternatives.not just AWS specific questions but also questions about ML and algorithm.

By James McVey on a month ago

Its only one exam but its still handy to have

By Evan Adams on 23 hours ago

Identified some gaps - thank you for putting this together!

By Nir Sh on 3 days ago

Great, practical questions with good explanations that taught me a lot.

Good Questions!

Passed the with a score of 955/1000 which translates to approximately 4 wrong questions out of 65. A lot of the credit goes to Frank for creating such a wonderful test set. The length and complexity of the questions and the module-wise question split in this course is very similar to that of the actual exam. The only difference is that in the actual exam the answers are even more close and confusing, in the sense that around 30% questions were too close to call and I had to use every iota of my memory , logic and general ML experience to finalize the answer. But this is only a minor issue since so far this is the best question set I have found on internet - way better than linuxacademy , acloudguru and AWS Official Practice exam( yes I took their tests as well). All in all very good place to test yourself once you have mastered the ML skills through various other courses , hands-on and AWS docs. I just wish Frank adds at least 1 or 2 more tests in this course.Full Disclaimer : I hold a M.S in Data Analytics and have done several MOOCs plus a lot of ML hands-on over the last couple of years. So don't just rely on this test, 50% of the questions are just pure ML , nothing to do with AWS. So prepare well and all the best :-)

The practice exam questions are similar to what you would see in the actual exam. This course helped with my preparation and I passed my exam.