AWS Certified Machine Learning Engineer - Associate MLA-C02 Exam Questions
Preparing for the MLA-C02 exam is simple with ExamsTeacher. We offer easy-to-understand study materials that help you learn the most important exam topics. You can study using our PDF questions, practice online with a real exam-style test, or use the desktop practice software. Choose the study method that works best for you and prepare at your own pace.
At ExamsTeacher, we keep our MLA-C02 practice questions up to date. Whenever the exam syllabus or objectives change, we update our study materials so you always learn the latest topics. This helps you save time, avoid outdated content, and feel more confident when you take your exam.
A company wants a customer-support application to answer questions using private company documentation. The company doesn't want to retrain its foundation model whenever the documentation changes.
Which approach is most appropriate?
Correct Answer: A
RAG retrieves relevant information and provides it to the
model as context without requiring continuous model retraining.
An ML engineer needs to train, deploy, and monitor machine learning models on AWS.
Which service is most directly suited to these requirements?
Correct Answer: B
SageMaker AI provides capabilities for developing, training,
deploying, and monitoring ML models.
A
development team wants to build a generative AI application using managed
foundation models without managing the underlying model infrastructure.
Which
service should they consider?
Correct Answer: A
Amazon
Bedrock provides managed access to foundation models for building generative AI
applications.
An AI application needs to perform a multi-step task and decide which tools or external systems to use.
Which
concept best describes this capability?
Correct Answer: B
Agentic AI
systems can interact with tools and external systems and orchestrate multi-step
workflows.
An
organization wants its AI application to retrieve current internal information
before generating an answer.
Which
architecture is most appropriate?
Correct Answer: A
RAG allows
an application to retrieve relevant external information and provide it to the
model during generation.