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

Q381

What happens when you enable automatic scaling for an Amazon SageMaker endpoint?

A It reallocates training jobs automatically.
B It scales ML model replicas based on traffic.
C It increases data input size automatically.
D It deletes under-utilized resources immediately.

Explanation Automatic scaling adjusts the number of replicas based on incoming requests, while others describe incorrect behaviors of the service.

Q382

Which service is best for deploying ML models as APIs?

A AWS SageMaker
B AWS Lambda
C AWS Batch
D AWS Glue

Explanation AWS SageMaker is designed for deploying ML models, while others serve different purposes like data processing or serverless computing.

Q383

A company needs to securely store and share sensitive user data in S3. What should they use?

A S3 with public access
B S3 bucket policies
C S3 Transfer Acceleration
D S3 Object Lock

Explanation S3 bucket policies control access securely, unlike public access or other options.

Q384

You are configuring an ML pipeline with data preprocessing on AWS. What happens if a transformation fails?

A The entire pipeline fails
B The failed step retries automatically
C The pipeline ignores the step
D The data is processed as is

Explanation The entire pipeline fails if a critical transformation step fails; it does not ignore steps.

Q385

Which AWS service is used for creating data lakes?

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

Explanation Amazon S3 is designed for scalable data storage, making it suitable for data lakes, while RDS is for relational databases, Lambda is for serverless computing, and EC2 for virtual servers.

Q386

A company needs to reduce costs for infrequently accessed data. Which storage class should they choose?

A S3 Standard
B S3 Intelligent-Tiering
C S3 Standard-IA
D S3 Glacier

Explanation S3 Standard-IA (Infrequent Access) is optimal for infrequently accessed data, while Glacier is for archiving and Standard for frequently accessed data.

Q387

What happens when you try to invoke an AWS Lambda function with an incorrect IAM policy?

A Function executes without errors.
B Invocation fails with permission error.
C Function is throttled on invocation.
D Lambda function triggers an alert.

Explanation An incorrect IAM policy results in a permission error, while successful execution requires valid permissions; throttling relates to limited usage, and alerts are not a standard response.

Q388

A data scientist is deploying a model to predict customer churn. Which AWS service should they use for real-time predictions?

A Amazon SageMaker Endpoint
B AWS Glue
C Amazon S3
D AWS Lambda

Explanation Amazon SageMaker Endpoint allows for real-time predictions, while the others serve different purposes like ETL or storage.

Q389

You are configuring an IAM policy to allow EC2 instance creation. What must the policy action include?

A ec2:RunInstances
B iam:CreateRole
C ec2:DescribeInstances
D s3:PutObject

Explanation The correct action is ec2:RunInstances, as it directly permits instance creation, unlike the others.

Q390

What happens when you use an incorrect model artifact in an Amazon SageMaker batch transform job?

A Job fails without running
B Model automatically corrected
C Job produces random predictions
D Logs show successful completion

Explanation The job will fail without running as it cannot find a valid model, while others suggest incorrect outcomes.