Exam Prep Official Practice Question Set: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English)
Offered By: Amazon Web Services via AWS Skill Builder
Course Description
Overview
The Exam Prep Official Practice Question Set: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English) includes 20 questions. This question set aligns with the MLA-C01 version of the exam and exam guide.
About AWS Certification Exam Prep Official Practice Question Sets
Official practice question sets feature 20 questions developed by AWS to demonstrate the style of certification exam questions. Take the question set to understand exam-style questions.
Each question includes detailed feedback for answer choices, including recommended resources to deepen your understanding of key topics. You will also receive a score outlining the percentage of questions answered correctly for the overall question set and the number of questions answered correctly for each domain.
You can take the question set multiple times. Each time will include the same questions in a different order.
The official practice question set is one step in the 4-step plan that you can use to prepare for your exam with confidence. To access resources for the comprehensive 4-step plan, enroll in the Enhanced Exam Prep Plan: AWS Certified Machine Learning Engineer - Associate (MLA-C01), which includes role-based training, hands-on labs, experiential learning, additional exam-style questions, a pretest, and flashcards. If you are already logged into AWS Skill Builder, use this link version to access the plan.
The Standard Exam Prep Plan: AWS Certified Machine Learning Engineer - Associate (MLA-C01) includes free resources for Steps 1–3 of the 4-step plan. If you are already logged into AWS Skill Builder, use this link version to access the plan.
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent