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 151–160 of 486
Which AWS service is primarily used for data labeling in ML workflows?
A
Amazon SageMaker Ground Truth
B
AWS Glue
C
Amazon Rekognition
D
AWS Lambda
Amazon SageMaker Ground Truth provides tools for data labeling; the others do not specifically focus on this.
A company needs to deploy a model for real-time predictions. Which approach is recommended?
A
Batch inference using S3
B
SageMaker endpoint
C
EC2 for data processing
D
Lambda for async processing
A SageMaker endpoint is optimized for real-time predictions, while the others are not designed for low-latency responses.
What happens when you train a model on imbalanced data?
A
High accuracy with low performance
B
Bias towards majority class
C
Better generalization on all classes
D
No impact on model results
Training on imbalanced data often leads to bias towards the majority class, affecting overall performance on minority classes.
Which service provides automated model tuning in AWS?
A
Amazon SageMaker
B
AWS Glue
C
Amazon Athena
D
AWS Data Pipeline
Amazon SageMaker includes Optimizer for tuning, while others do not focus on model tuning.
A company needs to implement a scalable machine learning pipeline. Which services should they use together?
A
S3, Lambda, Comprehend
B
S3, Glue, EMR
C
S3, SageMaker, Step Functions
D
CloudWatch, ECS, Textract
S3 for storage, SageMaker for model training, and Step Functions for orchestration work together effectively.
What happens when you apply a new version of a model in deployment in SageMaker?
A
Previous model is deleted
B
Traffic shifts to new model automatically
C
Deployment fails immediately
D
Model needs to be retrained
Traffic can be shifted automatically to the new model version, ensuring minimal downtime.
Which service would you use for real-time data processing on AWS?
A
Amazon Kinesis
B
Amazon S3
C
AWS Glue
D
Amazon RDS
Amazon Kinesis is specifically designed for real-time data processing, while S3 is for storage and RDS is for relational databases.
A company needs predictive maintenance for manufacturing equipment. Which AWS service should they choose?
A
Amazon Comprehend
B
Amazon SageMaker
C
AWS Lambda
D
Amazon DynamoDB
Amazon SageMaker is ideal for building machine learning models for predictive analytics, unlike the others which serve different purposes.
You are configuring an IAM policy with conditions. What happens if the condition is not met?
A
Access is granted regardless
B
Access is denied
C
Access is granted with permissions
D
Access will prompt for additional input
In IAM, if a policy condition is not met, access is denied by default, prioritizing security.
Which AWS service is best for large-scale data analysis?
A
Amazon Athena
B
AWS DeepRacer
C
Amazon S3
D
AWS IoT Core
Amazon Athena provides serverless analytics for large-scale data.