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

Q251

A company needs to predict customer churn using historical data. What is the first step in their machine learning process?

A Model training
B Data preprocessing
C Feature engineering
D Model evaluation

Explanation Data preprocessing is essential before moving to training, features, or evaluation.

Q252

You are configuring a training job in SageMaker and must choose an instance type. What happens if you select an instance with less memory than required?

A The job will run efficiently
B SageMaker will automatically scale up
C The job will fail
D There will be a delay in execution

Explanation Choosing insufficient memory will cause the job to fail, unlike the other options which are incorrect.

Q253

Which AWS service provides a fully managed message broker?

A Amazon MQ
B Amazon SNS
C AWS Lambda
D Amazon SQS

Explanation Amazon MQ is a fully managed message broker, whereas SNS is for notifications, SQS is for queues, and Lambda is serverless compute.

Q254

A company needs to monitor model drift in their machine learning application. Which service should they utilize?

A Amazon SageMaker Model Monitor
B AWS CloudTrail
C Amazon CloudWatch
D AWS Config

Explanation Amazon SageMaker Model Monitor is specifically designed to track model drift, while the other options are for general monitoring and logging.

Q255

You are configuring an AWS Glue job to extract data from S3. What happens if the IAM role does not have the correct permissions?

A Job fails due to access denied
B Job runs but with no data
C Data is partially extracted
D Job automatically requests permissions

Explanation The job fails with access denied error if the IAM role lacks permissions, while the other options misstate the behavior.

Q256

Which service is best for real-time data processing?

A Amazon Kinesis
B Amazon S3
C AWS Lambda
D Amazon EC2

Explanation Amazon Kinesis is designed for real-time data streaming, while others focus on storage or compute tasks.

Q257

A company needs to regularly customize machine learning models based on new training data. Which AWS service should they use?

A Amazon Sagemaker
B AWS Glue
C Amazon Athena
D AWS Batch

Explanation Amazon SageMaker provides tools for building and retraining models efficiently, unlike the others which serve different purposes.

Q258

You are configuring IAM permissions for a data scientist. What would happen if you apply restrictive permissions?

A They can still access all resources.
B They may be unable to access required resources.
C Their permissions become irrelevant.
D They will automatically gain admin privileges.

Explanation Restrictive permissions can limit access to necessary resources for the data scientist's work, impacting their effectiveness.

Q259

Which service is optimal for deploying a model as an API?

A Amazon SageMaker
B AWS Lambda
C Amazon EC2
D Amazon Athena

Explanation Amazon SageMaker streamlines model deployment as an API, while Lambda is for serverless functions and EC2 is more complex.

Q260

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

A AWS Glue
B Amazon EventBridge
C AWS CodePipeline
D Amazon S3

Explanation Amazon EventBridge can trigger retraining workflows based on events, unlike the others which are not designed for event-driven automation.