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 411–420 of 486

Q411

What happens when you use a lower value for the 'max_depth' hyperparameter in a decision tree model?

  • A Overfitting increases
  • B Model performance improves
  • C Underfitting may occur
  • D Training time decreases
Explanation Lowering 'max_depth' can simplify the model, leading to underfitting, whereas the others are incorrect assumptions of how it affects model complexity.
Q412

Which service is best for real-time data processing?

  • A Amazon Kinesis
  • B Amazon S3
  • C AWS Lambda
  • D Amazon RDS
Explanation Amazon Kinesis is specifically designed for real-time data streaming, while others focus on storage or batch processing.
Q413

A company needs to implement a machine learning model that predicts customer churn. What is the first step to take?

  • A Train the model on existing data
  • B Identify relevant features
  • C Deploy the model
  • D Select an algorithm
Explanation Identifying relevant features is crucial before training to ensure the model has the right input data, unlike the other options which come later in the process.
Q414

You are configuring a SageMaker model for automated deployments. If your model performs poorly, what happens when you update it with a new model version?

  • A Previous version gets automatically rolled back
  • B New model version is not deployed
  • C Old model stays active until tested
  • D Service crashes with deployment failure
Explanation The old model remains active until the new version is tested and validated, ensuring seamless transition without sudden service disruption.
Q415

Which service allows for real-time data processing in AWS?

  • A AWS Lambda
  • B AWS S3
  • C AWS Glue
  • D Amazon RDS
Explanation AWS Lambda enables real-time data processing while the others are for storage or querying.
Q416

A company needs to deploy a model with automatic scaling and high availability. Which AWS service should they use?

  • A Amazon SageMaker
  • B AWS Step Functions
  • C AWS Batch
  • D AWS Glue
Explanation Amazon SageMaker is designed for deploying machine learning models with scalability and availability.
Q417

What happens when you configure an AWS IAM user without permissions?

  • A User can access everything
  • B User can access some services
  • C User has no access
  • D User access is unlimited
Explanation An IAM user without permissions has no access to any AWS services.
Q418

Which service facilitates model training using pre-built algorithms on AWS?

  • A SageMaker
  • B EC2
  • C S3
  • D CloudFormation
Explanation SageMaker is specifically designed for machine learning, while EC2 is for general compute and the other two services support data storage and infrastructure management.
Q419

A company needs to analyze large-scale streaming data in real-time. Which AWS service is most suitable?

  • A Redshift
  • B Kinesis
  • C S3
  • D Glue
Explanation Kinesis is specifically designed for real-time streaming data analysis, while Redshift is for data warehousing, S3 is for storage, and Glue is for ETL tasks.
Q420

What happens when using an untagged resource and IAM policies based on tags for permissions?

  • A Access is granted automatically
  • B Access is denied
  • C Access depends on other conditions
  • D Resource becomes publicly accessible
Explanation If a resource is untagged, it does not meet tag-based policy conditions, leading to access denial; the other options are incorrect interpretations of IAM behavior.