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 171–180 of 486

Q171

What happens when you specify an incorrect instance type for a machine learning model in Amazon SageMaker?

  • A Model fails to deploy
  • B Model trains successfully
  • C AWS charges double fees
  • D Service recommends a valid type
Explanation An incorrect instance type leads to a deployment failure.
Q172

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

  • A Amazon SageMaker
  • B AWS Lambda
  • C AWS Glue
  • D Amazon EC2
Explanation Amazon SageMaker is specifically designed for deploying ML models, while the others serve different purposes.
Q173

A company needs to classify images using a pre-trained model. What should they use?

  • A AWS Lambda
  • B Amazon Rekognition
  • C Amazon S3
  • D AWS Batch
Explanation Amazon Rekognition offers image classification capabilities, while the others do not focus specifically on image processing.
Q174

You are configuring an IAM role for a SageMaker training job. What must you ensure?

  • A Role has access only to CloudWatch
  • B Role can access S3 where data is stored
  • C Role can access DynamoDB tables only
  • D Role must have no permissions
Explanation The role needs S3 access to retrieve training data, while the other options either restrict access unnecessarily or are irrelevant.
Q175

Which service is best for real-time data streaming?

  • A Amazon Kinesis
  • B Amazon S3
  • C AWS Lambda
  • D Amazon RDS
Explanation Amazon Kinesis is designed for real-time data streaming, while S3 stores data at rest, Lambda executes code, and RDS is meant for relational databases.
Q176

A company needs to deploy a machine learning model quickly without managing infrastructure. Which AWS service should they use?

  • A Amazon SageMaker
  • B AWS Batch
  • C AWS Glue
  • D AWS CodeBuild
Explanation Amazon SageMaker allows quick model deployment with minimal infrastructure management, while others focus on batch processing or ETL tasks.
Q177

What happens when you set a model's performance threshold in Amazon SageMaker?

  • A Increases training time
  • B Decreases model accuracy
  • C Triggers automatic retraining
  • D Allows to evaluate against that threshold
Explanation Setting a performance threshold allows evaluating model performance but does not auto-retrain or change accuracy and training time directly.
Q178

Which AWS service is best for building real-time analytics applications?

  • A Amazon Kinesis
  • B Amazon RDS
  • C AWS Lambda
  • D AWS Glue
Explanation Amazon Kinesis is designed for real-time data processing, while the others focus on databases or batch processing.
Q179

A company wants to deploy a machine learning model within a serverless architecture. Which service should they use?

  • A Amazon SageMaker
  • B Amazon EC2
  • C AWS Fargate
  • D AWS Lambda
Explanation AWS Lambda allows for serverless execution, while the others involve more management.
Q180

You are configuring an S3 bucket. What happens when you disable public access on a bucket?

  • A All current permissions are revoked
  • B No new public ACLs can be added
  • C Public data can still be accessed
  • D Only bucket owner retains access
Explanation Disabling public access prevents new public ACLs, but does not affect existing ones immediately.