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AWS Certified Machine Learning Specialty: Full Practice Exam


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Created by Sundog Education by Frank Kane
 
 AWS Certified Machine Learning Specialty: Full Practice Exam
Requirements
  • Deep knowledge of AWS Sagemaker
  • Pre-processing "big data"
  • Techniques for preventing overfitting
  • Experience with feature engineering
  • Knowlege of deep neural networks and deep learning
  • Practical knowledge of machine learning algorithms
  • AWS Security
  • AWS Storage solutions
 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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