AWS Certified Machine Learning Engineer - Associate Exam
Description
Are you ready to validate your expertise in building, training, and deploying machine‑learning solutions on AWS? This practice‑exam course is specifically designed for the AWS Certified Machine Learning Engineer – Associate (MLA‑C01) credential and gives you everything you need to walk into the test center with confidence.
Inside you’ll find two full‑length mock exams (40 questions each) plus domain‑focused mini‑quizzes that mirror the exact weightings, difficulty, and wording style of the real exam. Every question is 100 % original, covers the latest AWS services and best practices, and includes a detailed step‑by‑step rationale explaining why the correct answer is right—and, just as importantly, why every distractor is wrong. This turns each question into a mini‑lesson, reinforcing theory while sharpening your test‑taking instincts.
The question bank touches all eight exam domains:
• Data Engineering (S3 data lakes, Glue, Lake Formation)
• Exploratory Data Analysis (Athena, QuickSight, Data Wrangler)
• Modeling (built‑in algorithms, AutoML, hyperparameter tuning)
• ML Implementation & Operations (SageMaker Pipelines, Model Monitor, Neo, Edge Manager)
• Business Problem Framing, ML Solutions Architecture, Security, and Cost Optimisation.
You will also pick up proven strategies for managing exam time, spotting key “give‑away” words in questions, and avoiding common traps that sink otherwise prepared candidates. Whether you come from a data‑science, DevOps, or solutions‑architecture background, these realistic scenarios will highlight any remaining knowledge gaps so you can fix them fast.
Join thousands of learners who have leveraged focused practice to pass AWS exams on their first attempt—and add the prestigious MLA‑C01 badge to your résumé sooner than you think!
Who this course is for:
- Candidates actively preparing to sit the MLA‑C01 certification who want realistic practice exams with deep‑dive rationales.
- Data Scientists, Machine‑Learning Engineers, and Developers already building models on AWS who need a credential to validate their expertise.
- Cloud Architects, DevOps or Data Engineers expanding into ML solution design, security, and cost‑optimisation on AWS.
- Learners who prefer a practice‑first approach—testing knowledge through exam‑style questions instead of lecture‑only courses.
Instructor
- 4.0 Instructor Rating
- 192 Reviews
- 12,280 Students
- 36 Courses
You don't have to be an industry veteran to know that taking exams and becoming certified takes a financial and significant scheduling commitment. Choosing the right course for your study is key to saving both time and money. No retests mean saved money on sitting fees. And making the training process efficient and accurate helps to take weeks and months off the training regimen. Technology is constantly changing, and I keep my courses current and up to the latest benchmarking standards.
My goal is to help you to succeed. When you succeed, I succeed - and I like it that way.