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 271–280 of 486

Q271

Which AWS service is used for serverless computing?

  • A AWS Lambda
  • B Amazon EC2
  • C Amazon RDS
  • D AWS Batch
Explanation AWS Lambda enables serverless computing, while others are not serverless services.
Q272

A company needs to analyze streaming data in real-time. Which service should they use?

  • A Amazon S3
  • B Amazon Kinesis
  • C Amazon Redshift
  • D AWS Glue
Explanation Amazon Kinesis is specifically designed for real-time data processing, unlike the other options.
Q273

You are configuring a training job in SageMaker. What value must be set to enable distributed training?

  • A Input Data
  • B Training Algorithm
  • C Instance Count
  • D Output Path
Explanation The Instance Count defines the number of instances for distributed training; others do not affect distribution.
Q274

Which service offers automated model tuning in AWS?

  • A Amazon SageMaker
  • B AWS Glue
  • C Amazon EC2
  • D AWS Lambda
Explanation Amazon SageMaker provides automatic model tuning (hyperparameter optimization). Other services do not offer this specific feature for ML models.
Q275

A company needs to automate deployments of ML models. Which AWS service should they use?

  • A AWS CodePipeline
  • B Amazon S3
  • C Amazon RDS
  • D AWS IAM
Explanation AWS CodePipeline allows automating deployments, including ML models, improving CI/CD processes. The other services do not focus on deployment automation.
Q276

You are configuring Amazon SageMaker hosting. What happens if you select an instance type that is not supported?

  • A Deployment will succeed with warnings
  • B Deployment will fail immediately
  • C Model will be deployed in S3
  • D Instance will be chosen automatically
Explanation The deployment will fail immediately if an unsupported instance type is selected. The other options do not align with the behavior of instance type validation.
Q277

You are configuring an Amazon SageMaker training job. Which of the following options is NOT required for defining the training job?

  • A Training algorithm
  • B Employee data
  • C Input data location
  • D Output data location
Explanation Employee data is not a required parameter for scheduling a training job; the algorithm and data locations are essential.
Q278

A healthcare company wants to deploy a real-time predictive model for patient diagnosis. Which AWS service is best suited to handle this use case?

  • A AWS Batch
  • B Amazon SageMaker Endpoint
  • C AWS Glue
  • D AWS Lambda
Explanation Amazon SageMaker Endpoint allows real-time inference on deployed models, while others are not optimized for real-time predictions.
Q279

What happens when an Amazon S3 bucket policy denies access to all users?

  • A Bucket becomes private
  • B Access is permanently revoked
  • C Bucket is deleted automatically
  • D Public access is allowed
Explanation The bucket becomes private; the deny rule takes precedence, blocking all access without explicit allows.
Q280

Which service is best for real-time data streaming?

  • A Amazon Kinesis
  • B Amazon S3
  • C Amazon RDS
  • D AWS Lambda
Explanation Amazon Kinesis is designed for real-time streaming; the others are not focused on streaming capabilities.