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 21–30 of 486
You are configuring a machine learning model on SageMaker. What happens if the training job exceeds the allocated instance limits?
A
Training job will automatically stop
B
Job will continue with reduced performance
C
Additional charges will be incurred
D
Training data will be throttled
If training jobs exceed limits, they are stopped automatically to prevent resource overload.
Which AWS service is primarily used for training machine learning models at scale?
A
Amazon SageMaker
B
Amazon RDS
C
Amazon EC2
D
AWS Batch
Amazon SageMaker is specifically designed for model training, while the others serve different purposes.
A company needs to set up automated machine learning workflows and manage data preparation. Which AWS service should they use?
A
AWS Glue
B
Amazon S3
C
Amazon Redshift
D
Amazon EMR
AWS Glue is designed for data integration and ETL, whereas the others serve different data processing needs.
You are configuring an Amazon Comprehend job to analyze sentiment in text data. What will happen if your input text is empty?
A
Job completes successfully
B
Job throws a timeout error
C
Job fails with an invalid input error
D
Job returns neutral sentiment
An empty input text causes an invalid input error; the other options do not accurately reflect the result.
Which service automates model tuning in AWS?
A
Amazon SageMaker
B
AWS Lambda
C
Amazon EC2
D
Amazon S3
Amazon SageMaker provides automated model tuning features, while the others do not focus on machine learning.
A company needs to analyze unstructured text data. Which service is best?
A
Amazon Athena
B
Amazon Comprehend
C
Amazon QuickSight
D
AWS Glue
Amazon Comprehend is designed for text analysis, while the others do not specialize in this area.
You are configuring a VPC for a ML project. What happens if you enable VPC Flow Logs?
A
Traffic will be blocked.
B
Logs can be analyzed.
C
Model performance improves.
D
Costs will double.
VPC Flow Logs provide network traffic data, while the other options do not relate to logging.
Which service is primarily used for building and deploying machine learning models?
A
Amazon SageMaker
B
Amazon RDS
C
AWS Lambda
D
Amazon QuickSight
Amazon SageMaker is specifically designed for machine learning model development, while the others serve different purposes.
A company needs to manage access to AWS resources securely. Which AWS service should they use?
A
AWS Data Pipeline
B
AWS IAM
C
Amazon S3
D
AWS CloudTrail
AWS IAM provides robust identity and access management capabilities, while the others do not directly manage access.
What happens when your AWS Lambda function exceeds its memory allocation?
A
Function completion delays
B
The function throttles
C
Function invocation fails
D
Function automatically retries
Exceeding memory allocation results in function invocation failure, as Lambda enforces the specified resource limits.