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 431–440 of 486

Q431

A company needs to improve model accuracy using ensemble methods. What should they implement?

  • A Random Forest
  • B Linear Regression
  • C Decision Trees
  • D Logistic Regression
Explanation Random Forest is an ensemble method that improves accuracy, unlike the other options which are single algorithms.
Q432

You are configuring an S3 bucket for public access. What should be the first action?

  • A Enable Block Public Access
  • B Update Bucket Policy Allowing Access
  • C Set Bucket to Public
  • D Enable Versioning
Explanation Enabling Block Public Access is crucial to prevent unintended exposure before configuration.
Q433

Which service is best for real-time streaming data analysis?

  • A Amazon Kinesis
  • B Amazon S3
  • C Amazon RDS
  • D Amazon EC2
Explanation Amazon Kinesis is specifically designed for real-time data streaming, while the others serve different functions.
Q434

A company needs to automate model deployment in a scalable manner. Which AWS service should they use?

  • A AWS Lambda
  • B Amazon SageMaker
  • C AWS Step Functions
  • D Amazon EC2
Explanation Amazon SageMaker includes built-in capabilities for scalable deployment of ML models, unlike the other options.
Q435

What happens when you set the 'maxRetries' on an SQS message?

  • A Message gets deleted after max retries.
  • B Message is sent to a dead letter queue.
  • C Retry attempts are logged.
  • D Visibility timeout is ignored.
Explanation When maxRetries is reached, the message goes to a dead letter queue for further inspection instead of being lost.
Q436

Which service is best for automated model training?

  • A AWS SageMaker
  • B AWS EC2
  • C AWS Lambda
  • D AWS S3
Explanation AWS SageMaker provides tools for automated model training, while the others serve different purposes.
Q437

A company needs to improve model performance. What should they primarily focus on?

  • A Increase training data quality
  • B Choose a more complex model
  • C Increase training duration
  • D Reduce feature set size
Explanation Increasing training data quality directly impacts model performance, while the other options may not.
Q438

You are configuring IAM roles for a machine learning project. What happens when you assign a role with overly broad permissions?

  • A Increased security
  • B Decreased access speed
  • C Unauthorized access risk
  • D Improved model training
Explanation Overly broad permissions can lead to unauthorized access, while the other options are incorrect consequences.
Q439

Which service is best for deploying models in production?

  • A SageMaker
  • B S3
  • C CloudFront
  • D CloudFormation
Explanation SageMaker specializes in model deploying, while others serve different purposes.
Q440

A company needs to securely access multiple AWS resources using a single set of credentials. Which service should they implement?

  • A IAM Roles
  • B CloudWatch
  • C Lambda Functions
  • D API Gateway
Explanation IAM Roles allow for secure access management; the other options do not manage access control.