AWS Machine Learning Certification Exam Tips

I just passed the AWS Machine Learning exam. It is the most difficult topic of all AWS certifications, however if you understand the concepts, you can easily pass it. You have 3 hours to answer 65 scenario based questions. Refer to the exam blueprint for more info.

Main Tips

The exam covers lots of topics: Data Collection, Data Preparation, Data Engineering, Data Analysis and Visualization, Algorithms, Model Training, Model Tuning, Model Deployment, Operations and Optimizations.

However, it builds up on the knowledge from other certifications, specially the Big Data Specialty. There are several questions on the exam regarding data analysis, collection and engineering which are copy on the AWS Big Data Certification. Having a associate level is also recommended so you are familiar with concepts such as IAM Roles, VPCs, EC2, S3, DynamoDB, RDS… which are also part of this certification. The Solutions Architect Associate and the Big Data specialty certification cover more than half of this exam, so I highly recommend taking these two certifications before taking this one. Also, you currently get 50% on the next exam. So if you take the associate which is cheaper you get 50% of this one which is more expensive.

The exam also covers concepts regarding data analysis and preparation which rely…