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 261–270 of 486

Q261

What happens when you enable S3 bucket versioning?

  • A Old versions are deleted
  • B New objects can overwrite old
  • C All objects must be unique
  • D Multiple versions of objects are preserved
Explanation Enabling versioning preserves multiple object versions, while the other options incorrectly describe versioning effects.
Q262

Which Amazon S3 storage class is designed for data that is rarely accessed and can tolerate longer retrieval times?

  • A S3 Standard
  • B S3 Intelligent-Tiering
  • C S3 Glacier
  • D S3 One Zone-IA
Explanation S3 Glacier is optimized for archival data, offering cost-effective storage with retrieval delays, whereas others serve different access patterns.
Q263

A company needs to build a machine learning model to predict customer behavior based on historical data. Which AWS service is specifically designed to create, train, and deploy machine learning models?

  • A AWS Glue
  • B Amazon SageMaker
  • C Amazon EMR
  • D AWS Lambda
Explanation Amazon SageMaker provides a complete suite for machine learning workflow, while the others serve different purposes in data processing and serverless compute.
Q264

What happens when you overfit a machine learning model?

  • A Model accuracy improves on new data
  • B Model performs well on training data
  • C Model generalizes better across datasets
  • D Model is less complex and simpler
Explanation Overfitting results in high training data accuracy but poor performance on unseen data, counter to generalization goals.
Q265

Which AWS service would you use for real-time data streaming?

  • A Amazon Kinesis
  • B Amazon RDS
  • C AWS Lambda
  • D Amazon S3
Explanation Amazon Kinesis is designed specifically for real-time data streaming; other options do not offer this feature.
Q266

A company needs to deploy a machine learning model behind an API. Which service would they typically use?

  • A AWS Glue
  • B Amazon EC2
  • C Amazon SageMaker
  • D AWS CloudFormation
Explanation Amazon SageMaker allows for easy deployment of ML models; the other options do not specialize in ML model deployment.
Q267

You are configuring Amazon S3 bucket policies. What happens if you grant access to everyone?

  • A Everyone can read from the bucket
  • B Everyone can write to the bucket
  • C Bucket is deleted immediately
  • D Access is restricted to certain IPs
Explanation Granting access to everyone allows public read access to the bucket, while the other options misrepresent access control effects.
Q268

Which service is best for real-time data processing?

  • A Amazon Kinesis
  • B Amazon S3
  • C Amazon DynamoDB
  • D Amazon SageMaker
Explanation Amazon Kinesis is designed for real-time data streaming, whereas the other services focus on storage or machine learning.
Q269

A company needs to build a model that predicts customer churn. Which metric should be prioritized?

  • A Precision
  • B Recall
  • C F1 Score
  • D RMSE
Explanation Recall is crucial for customer churn to minimize lost customers, while precision and RMSE are less relevant in this context.
Q270

What happens when you enable versioning on an S3 bucket?

  • A Old versions delete automatically
  • B Only latest version is kept
  • C All versions are retained
  • D Access permissions reset
Explanation Enabling versioning retains all versions of objects, while the other options misrepresent S3 behavior.