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 91–100 of 486

Q91

Which AWS service is best for model training with large datasets?

  • A Amazon SageMaker
  • B AWS Glue
  • C Amazon S3
  • D AWS Lambda
Explanation Amazon SageMaker is designed for model development, while AWS Glue is for ETL, S3 for storage, and Lambda for serverless processing.
Q92

A company needs to manage access permissions in a machine learning project. Which AWS service should they use?

  • A AWS IAM
  • B Amazon Rekognition
  • C Amazon Comprehend
  • D AWS Lambda
Explanation AWS IAM allows fine-grained access control, while Rekognition and Comprehend are ML services and Lambda is for execution.
Q93

What happens when a dataset is uploaded to Amazon S3 without proper encryption settings?

  • A Data is automatically encrypted.
  • B Data transfers fail.
  • C Data is stored unencrypted.
  • D Data is deleted.
Explanation Without encryption settings, data stored in S3 remains unencrypted unless otherwise specified by bucket settings.
Q94

Which service is best for real-time data processing?

  • A Amazon Kinesis
  • B Amazon S3
  • C Amazon RDS
  • D AWS Lambda
Explanation Amazon Kinesis is specifically designed for real-time data processing, while the other options serve different purposes.
Q95

A company needs to process large image files efficiently. Which AWS service should they use?

  • A Amazon Rekognition
  • B AWS Lambda
  • C Amazon ECS
  • D Amazon S3
Explanation Amazon S3 is optimized for storing and retrieving large files, unlike the other services which handle different workloads.
Q96

You are configuring a deep learning model on AWS. What is the role of SageMaker's training jobs?

  • A Store input data
  • B Serve model predictions
  • C Train the model
  • D Deploy the model to production
Explanation Training jobs in SageMaker specifically handle the training of machine learning models, while the other options are about different functionalities.
Q97

Which AWS service is best for serverless machine learning inference?

  • A AWS Lambda
  • B EC2 Instances
  • C Elastic Beanstalk
  • D RDS
Explanation AWS Lambda allows for serverless execution, while EC2 and Elastic Beanstalk imply managing servers, and RDS is for databases.
Q98

A company needs to process real-time data streams for predictive analytics. Which AWS service should they use?

  • A Amazon SNS
  • B Amazon Kinesis
  • C Amazon S3
  • D Amazon QuickSight
Explanation Amazon Kinesis is specifically designed for real-time data processing, while SNS is for notifications, S3 for storage, and QuickSight for visualization.
Q99

What happens when you train a model with imbalanced data in SageMaker?

  • A Model performs well on all classes
  • B Model overfits the minority class
  • C Model ignores the majority class
  • D Model biases towards the majority class
Explanation Imbalanced data often causes the model to perform well on the majority class and bias towards it, while options A, B, and C misrepresent model behavior.
Q100

Which AWS service is used for managing and automating machine learning workflows?

  • A Amazon SageMaker
  • B AWS Lambda
  • C AWS Glue
  • D Amazon RDS
Explanation Amazon SageMaker specializes in ML workflows, while others do not.