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.
Questions 41–50 of 486
A company needs to preprocess large datasets with varying schemas and sizes for ML training. Which AWS service is most suitable?
A
AWS Batch
B
AWS Glue
C
Amazon EMR
D
Amazon Redshift
AWS Glue is designed for ETL tasks, whereas the other services serve different purposes.
What happens when you set a SageMaker endpoint to 'shielded' mode?
A
Endpoint becomes highly available.
B
Endpoint data is encrypted.
C
Endpoint charges are reduced.
D
Endpoint receives priority scaling.
Shielded mode encrypts data in transit; the other options do not describe shielded mode correctly.
Which service automates machine learning model training?
A
Amazon SageMaker
B
Amazon EC2
C
AWS Lambda
D
Amazon RDS
Amazon SageMaker simplifies and automates the training process, while others are unrelated services.
A company needs to deploy a recommendation engine. Which architecture is best?
A
Batch processing on EC2
B
Real-time with Lambda and DynamoDB
C
Stateless web app with S3
D
Static website with CloudFront
Real-time processing allows instant recommendations, unlike batch or static options.
You are configuring auto-scaling for your EC2 instances. What happens when the CPU utilization exceeds 80%?
A
No action taken
B
Terminate instances
C
Launch additional instances
D
Reduce instance size
Auto-scaling launches more instances to handle load, while the others do not increase capacity appropriately.
Which service is essential for real-time data processing?
A
AWS Lambda
B
Amazon S3
C
Amazon Aurora
D
AWS Glue
AWS Lambda provides serverless compute for real-time processing, unlike S3 which is for storage.
A company needs to monitor models in production. Which tool should they use?
A
Amazon SageMaker Data Wrangler
B
Amazon CloudWatch
C
AWS CodePipeline
D
Amazon QuickSight
Amazon CloudWatch allows monitoring of models by tracking metrics and logs, while the others serve different purposes.
You are configuring a training job for a deep learning model. What happens when you set a low value for the learning rate?
A
Converges faster to local minimum
B
Training becomes unstable
C
Training proceeds very slowly
D
It's ignored by the optimizer
A low learning rate can significantly slow down training progress, unlike the other options that describe incorrect behaviors.
Which AWS service provides a fully managed machine learning environment?
A
Amazon SageMaker
B
Amazon EC2
C
Amazon S3
D
AWS Lambda
Amazon SageMaker manages ML infrastructure, while others do not focus on ML.
A company needs to automate data labeling for a large dataset. Which tool should they use?
A
Amazon Labeling Service
B
AWS Glue
C
AWS Batch
D
Amazon Inspector
Amazon Labeling Service specifically automates data labeling.