[RETIRED] AWS Machine Learning Specialty Full Practice Exam
Description
NOTE: This specialty-level certification has been retired by AWS. The last day to take this exam was March 31, 2026. You might be looking for the AWS Certified Machine Learning Engineer ASSOCIATE exam instead.
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 15-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.
Instructors
Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, 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.
As a senior manager at Amazon during its early years, Frank Kane led large technical teams, managed multi-year projects, and served as a "bar-raiser" - interviewing thousands and hiring hundreds across the company.
Frank holds 26 issued patents in machine learning and personalization. After 9 years at Amazon and IMDb, he founded Sundog Education and has since taught over 1.1 million people in AI, ML, AWS, system design, and tech leadership. Frank has been teaching full-time for over 10 years - but is always building projects on the side with the latest emerging technologies, to better explain them to you!
Our teaching style is to simplify complex concepts - once you cut through all the notation and jargon, most of AI and machine learning is pretty easy to understand. We make these advanced topics accessible to anyone with a modest technical background, always using plain English and examples to drive it home. We make learning easy, hands-on, and fun.
Our mission is to make highly valuable skills in machine learning, big data, AI, and data science accessible at prices anyone in the world can afford. Our current online courses have reached over 500,000 students worldwide. Sundog Education CEO, Frank Kane, 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.