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 211–220 of 486

Q211

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

  • A SageMaker
  • B EC2
  • C Lambda
  • D RDS
Explanation SageMaker is specifically designed for machine learning workflows, while others serve different purposes.
Q212

A company needs to preprocess their training data stored in S3. Which service should they use?

  • A Amazon EMR
  • B AWS Glue
  • C Amazon Athena
  • D Direct Connect
Explanation AWS Glue provides ETL capabilities to preprocess data effectively, unlike the other options.
Q213

You are configuring an S3 bucket policy. What will happen if you set 'Block Public Access' to 'On'?

  • A Public access is allowed.
  • B All objects are encrypted.
  • C Public access is denied.
  • D Only admin can access.
Explanation Setting 'Block Public Access' to 'On' denies all public access, which is crucial for security.
Q214

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

  • A Amazon Kinesis
  • B Amazon S3
  • C AWS Lambda
  • D Amazon RDS
Explanation Amazon Kinesis is designed specifically for real-time data streaming, while other services serve different data storage or execution purposes.
Q215

A company needs to deploy a machine learning model on mobile devices. Which AWS service should they use?

  • A Amazon SageMaker
  • B AWS Greengrass
  • C AWS Batch
  • D Amazon Comprehend
Explanation AWS Greengrass enables local execution of machine learning models on mobile and IoT devices, unlike other options that are not optimized for mobile deployment.
Q216

You are configuring IAM policies for data access. What happens when both allow and deny policies are applied?

  • A Allow overrides deny policy
  • B Deny overrides allow policy
  • C Both policies are ignored
  • D Access is granted in all cases
Explanation In IAM policies, a deny policy always takes precedence over allow policies, enforcing stricter access control.
Q217

Which service is best for deploying ML models at scale?

  • A Amazon SageMaker
  • B AWS Glue
  • C Amazon Aurora
  • D AWS Lambda
Explanation Amazon SageMaker is designed specifically for ML model deployment, whereas the others serve different purposes.
Q218

A company needs to preprocess a large dataset for training without manual intervention. What is the best approach?

  • A Use Amazon SageMaker Data Wrangler
  • B Implement a Lambda function
  • C Utilize Amazon EMR
  • D Employ AWS Step Functions
Explanation Amazon EMR is ideal for processing large datasets in distributed environments, while others do not focus primarily on large-scale data preprocessing.
Q219

What happens when you decrease the instance type in a SageMaker endpoint?

  • A Costs decrease but inference delay increases
  • B Costs increase and performance improves
  • C Inference delay decreases and costs remain
  • D Performance is unaffected while costs increase
Explanation Lower instance types reduce costs but can result in slower inference response times compared to higher types.
Q220

Which service is optimized for real-time event processing?

  • A Amazon Kinesis
  • B Amazon S3
  • C AWS Lambda
  • D Amazon Redshift
Explanation Amazon Kinesis is designed for real-time data streaming, while S3, Lambda, and Redshift are for storage and batch processing.