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 191–200 of 486
A company needs to log and monitor model predictions securely. What should they use?
A
Amazon CloudWatch
B
AWS Step Functions
C
Amazon SNS
D
AWS Elastic Beanstalk
Amazon CloudWatch specializes in logging and monitoring; the others focus on different functionalities.
You are configuring a model deployment via AWS. What happens when you choose multi-variant deployment?
A
Direct traffic to a single version
B
Randomly route traffic between versions
C
Only logs predictions
D
Trains new model automatically
Multi-variant deployment randomly routes traffic; the other options describe different behaviors.
Which AWS service is best for real-time data streaming?
A
Amazon Kinesis
B
Amazon S3
C
AWS Lambda
D
Amazon RDS
Amazon Kinesis is specifically designed for real-time data streaming, while the others serve different purposes.
A company needs to monitor model performance continuously. Which AWS service should they use?
A
Amazon CloudWatch
B
AWS Glue
C
Amazon SageMaker Studio
D
AWS CodePipeline
Amazon CloudWatch is ideal for monitoring performance metrics, while others do not offer continuous monitoring.
You are configuring access to a SageMaker notebook instance. What should you do first?
A
Create IAM user policies
B
Enable VPC endpoint
C
Attach IAM role to the instance
D
Launch an EC2 instance
Attaching an IAM role to the instance grants necessary permissions for resources, while the others are not direct prerequisites.
Which AWS service can analyze and visualize data in real-time?
A
Amazon Kinesis
B
AWS Glue
C
Amazon S3
D
AWS Lambda
Amazon Kinesis specializes in real-time data processing, while others serve different purposes like ETL or storage.
A company needs to deploy a machine learning model without managing its underlying infrastructure. Which AWS service is best suited?
A
Amazon ECS
B
SageMaker Hosting
C
AWS Lambda
D
EC2 Instances
SageMaker Hosting provides a managed environment for deploying ML models, unlike ECS, Lambda, or EC2.
What happens when you set a low value for the 'max_depth' hyperparameter in XGBoost?
A
Overfitting may increase.
B
Model complexicity increases.
C
Underfitting may occur.
D
Training time decreases.
A low max_depth leads to underfitting as the model becomes too simple to capture patterns, contrary to other options.
Which service is used for real-time audio stream processing?
A
Amazon Kinesis
B
AWS Batch
C
Amazon S3
D
AWS Glue
Amazon Kinesis enables real-time processing of audio streams, while other options focus on different use cases or data types.
A company needs to implement a robust model deployment strategy. Which AWS service would best facilitate automated deployment of ML models?
A
AWS Lambda
B
Amazon SageMaker
C
AWS CodeDeploy
D
Amazon ECR
Amazon SageMaker provides built-in capabilities for model deployment, while the others serve different purposes or contexts.