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 61–70 of 486

Q61

Which AWS service is best for real-time analytics of streaming data?

  • A Amazon Kinesis
  • B Amazon S3
  • C AWS Lambda
  • D Amazon Redshift
Explanation Amazon Kinesis is specifically designed for real-time processing of streaming data, while the others serve different purposes.
Q62

A company needs low-latency access to machine learning models from edge devices. Which AWS service should they use?

  • A Amazon SageMaker
  • B AWS Greengrass
  • C Amazon EMR
  • D AWS Glue
Explanation AWS Greengrass enables running ML models on edge devices, while the others are not optimized for low-latency operations at the edge.
Q63

What happens when you change the instance type of a running EC2 instance?

  • A Instance stops and starts
  • B Instance continues without interruptions
  • C Data is lost permanently
  • D Only network settings reset
Explanation Changing the instance type requires the instance to stop and start, which may cause a brief downtime and will not result in data loss if volumes are properly managed.
Q64

Which service allows model training on specific datasets in AWS?

  • A Amazon SageMaker
  • B AWS Lambda
  • C Amazon RDS
  • D Amazon S3
Explanation Amazon SageMaker is designed for model training, while the others have different purposes.
Q65

A company needs to analyze large datasets in near real-time. Which AWS service should they use?

  • A AWS Glue
  • B Amazon Kinesis
  • C Amazon RDS
  • D Amazon S3
Explanation Amazon Kinesis is designed for real-time data processing, unlike the other options which are suited for different data operations.
Q66

You are configuring a model in SageMaker and need to deploy multiple endpoints. What is the most efficient way to minimize costs?

  • A Use multi-container endpoints
  • B Deploy single endpoints only
  • C Enable data capture
  • D Use SageMaker Batch Transform
Explanation Multi-container endpoints optimize resource use for multiple models, while the other options may not minimize costs effectively.
Q67

A company needs to store unstructured data at scale and retrieve it efficiently. Which service should they use?

  • A Amazon S3
  • B Amazon RDS
  • C AWS Lambda
  • D DynamoDB
Explanation Amazon S3 is ideal for large-scale unstructured data storage, while RDS is for structured data, Lambda runs code, and DynamoDB is a NoSQL database.
Q68

What happens when a machine learning model deployed on SageMaker is under heavy load?

  • A Automatically scales instances
  • B Stops responding until load decreases
  • C Sends alerts to the developer
  • D Reduces model accuracy to manage load
Explanation SageMaker can automatically scale based on demand, while the other options incorrectly represent the service's behavior.
Q69

You are configuring an IAM role for an EC2 instance running a machine learning model. Which action should you grant to allow access to S3 buckets?

  • A s3:GetJob
  • B s3:AllowAccess
  • C s3:ListBucket
  • D s3:DescribeBuckets
Explanation s3:ListBucket allows the EC2 instance to list the contents of the bucket, while the others are invalid IAM actions for this purpose.
Q70

Which service provides real-time data processing for streaming data?

  • A AWS Glue
  • B Amazon Kinesis
  • C AWS Batch
  • D Amazon Redshift
Explanation Amazon Kinesis is designed for processing streaming data in real time; the other options serve different purposes.