Amazon AWS

AWS Certified Machine Learning Engineer – Associate

MLA-C01

The AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam validates your skills in building, training, and deploying machine learning models on AWS. It is ideal for those looking to specialize in machine learning.

486 questions 0 views Free
Start Mock Test Timed · Full-length · Scored

Questions 161–170 of 486

Q161

A company needs to deliver a real-time machine learning model. Which AWS service can it use for deploying the model?

  • A Amazon SageMaker
  • B AWS Glue
  • C AWS Lambda
  • D Amazon RDS
Explanation Amazon SageMaker is designed for deploying machine learning models in real-time.
Q162

What happens when an EC2 instance's IAM role is modified while the instance is running?

  • A The IAM role updates immediately.
  • B The instance must be restarted.
  • C Temporary access is revoked.
  • D No change occurs until rebooted.
Explanation The IAM role update takes effect immediately without rebooting the instance.
Q163

Which service is used for extracting insights from text data?

  • A Amazon Comprehend
  • B Amazon Rekognition
  • C AWS Lambda
  • D Amazon SageMaker
Explanation Amazon Comprehend specifically analyzes text data, while others serve different purposes.
Q164

A company needs to tune hyperparameters for their ML model. What is the best AWS service to use?

  • A AWS Batch
  • B Amazon SageMaker
  • C Amazon EC2
  • D AWS Glue
Explanation Amazon SageMaker provides built-in tools for hyperparameter tuning, unlike the other services.
Q165

You are configuring a multi-tenant ML model deployment on SageMaker. What is a best practice?

  • A Use a single execution role
  • B Isolate user data securely
  • C Share training datasets openly
  • D Monitor with AWS CloudWatch only
Explanation Isolating user data ensures compliance and security, while others compromise security practices.
Q166

Which AWS service is best for deploying machine learning models at scale?

  • A Amazon SageMaker
  • B AWS Lambda
  • C Amazon EC2
  • D AWS Glue
Explanation Amazon SageMaker is designed specifically for training and deploying ML models, while the others serve different functions.
Q167

A company needs to automate data preprocessing as part of their machine learning pipeline. Which AWS service should they use?

  • A AWS CodePipeline
  • B AWS Batch
  • C Amazon Glue
  • D Amazon EMR
Explanation Amazon Glue is optimized for ETL and data preprocessing, unlike the others which focus on different aspects.
Q168

You are configuring an Amazon S3 bucket policy. What happens if you specify a condition that denies access based on a source IP?

  • A Access is allowed unless explicitly denied.
  • B Access is denied on that IP.
  • C Access is allowed from all IPs.
  • D Access is denied for all users.
Explanation If a deny condition matches, access is denied regardless of other permissions, making the specified condition effective.
Q169

Which AWS service helps improve data labeling efficiency for machine learning?

  • A Amazon SageMaker Ground Truth
  • B AWS Glue
  • C Amazon Comprehend
  • D Amazon Lex
Explanation Amazon SageMaker Ground Truth streamlines the labeling process, while others serve different functions.
Q170

A company needs to store large amounts of image data for model training. What AWS service is most suitable?

  • A Amazon RDS
  • B Amazon S3
  • C AWS Lambda
  • D Amazon EC2
Explanation Amazon S3 is optimized for storing large datasets, unlike RDS or EC2.