AWS Certified Machine Learning Specialty Full Practice Exam

AWS Certified Machine Learning Specialty Full Practice Exam

If you are planning to get AWS Machine Learning Specialty Certification, you will find all the examples that you need to pass the exam.

This practice exam offers a realistic, full–length simulation of what you can expect in the AWS MLS–C01 exam.

65–question, 3–hour practice exam with original questions of the same style, topics, difficulty, and breakdown of the real exam.

We also include a 20–question quick test that will give you a rough idea of your readiness in just a 40 minutes.

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.

You should attempt multiple iterations for both the practice exams till you achieve 90% plus score with an inside–out understanding of the underlying concepts.

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.

The two practice exams have 65 questions & 20 questions each; a time duration of 3 hours & 40 mins each and mimic the actual exam in terms of complexity of questions, topic distribution and the presentation style. Each of the two practice exams spans the four domains of Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations.