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 221–230 of 486

Q221

A company needs to automate model retraining based on new data availability. Which AWS service should they use?

  • A AWS Step Functions
  • B Amazon SageMaker
  • C AWS Glue
  • D Amazon QuickSight
Explanation Amazon SageMaker provides model retraining automation, while the other services focus on orchestration, ETL, or BI.
Q222

You are configuring a machine learning model for prediction. What happens if your training dataset is smaller than required?

  • A Model accuracy improves significantly
  • B Model may overfit training data
  • C Model cannot be trained
  • D Model training time decreases exponentially
Explanation A smaller dataset risks overfitting, as the model learns noise rather than general patterns, while other options do not reflect typical outcomes.
Q223

Which service enables real-time data stream processing?

  • A Amazon Kinesis
  • B Amazon RDS
  • C Amazon S3
  • D AWS Lambda
Explanation Amazon Kinesis is designed for real-time data, while RDS and S3 are not real-time processing services, and Lambda is primarily for event-driven functions.
Q224

A company needs to recommend similar products based on user purchases. Which AWS service is best suited for this?

  • A Amazon Comprehend
  • B Amazon Personalize
  • C Amazon Translate
  • D AWS Glue
Explanation Amazon Personalize is specifically built for real-time recommendations, while the others serve different purposes like NLP or ETL.
Q225

What happens when you turn off your Amazon SageMaker endpoint?

  • A Models are deleted
  • B You stop incurring charges
  • C The data is lost
  • D Endpoint auto-restores after shutdown
Explanation Turning off your endpoint stops charges for compute, while the model and data persist, and endpoints do not auto-restore like EC2 instances might.
Q226

Which service is primarily used for deploying machine learning models at scale in AWS?

  • A Amazon SageMaker
  • B AWS Lambda
  • C Amazon EC2
  • D AWS Batch
Explanation Amazon SageMaker is designed for model deployment, while others serve different compute needs.
Q227

A company needs to predict customer churn based on historical data. Which approach should they take?

  • A Use sentiment analysis
  • B Apply linear regression
  • C Implement a classification model
  • D Conduct A/B testing
Explanation Classification models are appropriate for predicting categorical outcomes like churn.
Q228

What happens when you set a very low learning rate in a neural network training process?

  • A Converges faster
  • B Risk of overshooting minimum
  • C Slower convergence
  • D No change in performance
Explanation A low learning rate typically results in slower convergence, requiring more iterations.
Q229

Which service is best for real-time data processing?

  • A AWS Glue
  • B Amazon Kinesis
  • C Amazon S3
  • D AWS Lambda
Explanation Amazon Kinesis is designed for real-time data streams, while others mainly handle batch processing or storage.
Q230

A company needs to secure API access for its ML models. Which service should it use?

  • A AWS IAM
  • B AWS CloudTrail
  • C AWS Shield
  • D AWS WAF
Explanation AWS IAM allows you to manage access and permissions successfully, unlike others which serve different security purposes.