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.
A company needs to securely store sensitive customer data and allow access based on user roles. Which service should they use?
AAmazon DynamoDB
BAmazon S3 with IAM
CAmazon RDS with Aurora
DAWS Glue
Explanation
Amazon S3 can manage access control via IAM roles, making it suitable for securing sensitive data.
Q132
What happens when you increase the learning rate in a training job?
ASlower convergence
BFaster convergence
CNo effect on training
DHigher accuracy
Explanation
Increasing the learning rate typically accelerates model training but risks overshooting minima, possibly leading to instability.
Q133
Which service optimally helps in real-time data processing?
AAmazon Kinesis
BAmazon S3
CAmazon RDS
DAWS Lambda
Explanation
Amazon Kinesis is specifically designed for real-time data streaming, unlike the others which serve different functions.
Q134
A company needs to predict customer churn using available user data. Which ML model is most appropriate?
ALinear Regression
BSupport Vector Machines
CDecision Trees
DTime Series Forecasting
Explanation
Decision Trees effectively model classification tasks like predicting churn, unlike the other options which are not ideal for this specific problem.
Q135
You are configuring a model deployment on AWS SageMaker. What happens when you set the endpoint to "Asynchronous"?
AImmediate inference responses
BBatch processing of data
CLong-running tasks are handled
DLow-cost deployment options
Explanation
Asynchronous endpoints handle long-running inference requests, while other options do not reflect the nature of asynchronous processing.
Q136
Which service is best for real-time data streaming?
AAmazon Kinesis
BAWS Glue
CAmazon S3
DAmazon Athena
Explanation
Amazon Kinesis specializes in real-time data processing, unlike the others which serve different purposes.
Q137
A company needs to deploy machine learning models at scale while maintaining cost efficiency. What is the best approach?
AUse AWS Lambda for serverless execution
BDeploy on EC2 with auto-scaling features
CUse SageMaker for automated deployment
DImplement Fargate for container orchestration
Explanation
AWS SageMaker provides built-in scaling and cost efficiency for ML deployments, while the others do not specifically target ML at scale.
Q138
You are configuring an IAM policy for a group in your organization. What happens if the policy has both Allow and Deny statements?
AAllow takes precedence over Deny
BDeny takes precedence over Allow
CThey conflict and cancel each other out
DThe user has no permissions
Explanation
In IAM policies, Deny statements always override Allow statements, ensuring security.
Q139
Which AWS service provides a managed environment for running machine learning models?
AAmazon SageMaker
BAWS Lambda
CAmazon RDS
DAWS Glue
Explanation
Amazon SageMaker is designed specifically for machine learning, while the others serve different purposes.
Q140
A company needs to optimize its model training cost. Which technique should they consider?
AUse spot instances
BIncrease instance size
CUse on-demand instances
DChoose multi-AZ deployment
Explanation
Using spot instances can significantly reduce costs compared to on-demand pricing.