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 classify images of cats and dogs. Which algorithm is recommended?
AK-Means Clustering
BLogistic Regression
CConvolutional Neural Network
DDecision Tree
Explanation
Convolutional Neural Networks are specifically designed for image classification tasks, while the other algorithms are less effective for this purpose.
Q282
What happens when you apply regularization in a linear regression model?
AIncreases model complexity
BImproves model interpretability
CReduces overfitting
DEliminates all errors
Explanation
Regularization reduces overfitting by penalizing large coefficients, while the other options are incorrect regarding its effects.
Q283
A company needs to integrate machine learning with their data streams. Which AWS service should they primarily use?
AAmazon Kinesis
BAWS Lambda
CAmazon SNS
DAmazon S3
Explanation
Amazon Kinesis is designed for real-time data processing, suitable for ML integrations, while AWS Lambda is for event-driven compute, SNS is for messaging, and S3 is for storage.
Q284
You are configuring an Amazon SageMaker training job. How can you optimize the training cost?
AUse a larger instance size
BUse multi-model endpoints
CUse spot instances
DIncrease training duration
Explanation
Using spot instances reduces training costs significantly as they leverage unused EC2 capacity, unlike the other options which either increase costs or do not ensure savings.
Q285
What happens when an Amazon S3 bucket policy denies access to all roles except one?
AOnly thespecified role has access
BAll IAM users gain access
CPublic access is granted
DAccess is denied for everyone
Explanation
The bucket policy restricts access so only the specified role can access the bucket, making the other options incorrect regarding access permissions.
Q286
Which service is best for real-time data streaming in AWS?
AAmazon Kinesis
BAmazon S3
CAWS Lambda
DAmazon RDS
Explanation
Amazon Kinesis is specifically designed for real-time data streaming, while the others serve different purposes.
Q287
A company needs to prepare a large dataset for training machine learning models. Which AWS service can best help automate this process?
AAmazon SageMaker
BAmazon EC2
CAWS Batch
DAWS Glue
Explanation
AWS Glue is designed for data preparation and ETL, while SageMaker focuses on model building.
Q288
What happens when a machine learning model deployed on AWS Lambda exceeds the maximum execution timeout?
AModel automatically retries
BExecution is terminated
CResults are saved partially
DLambda scales up automatically
Explanation
Exceeding the timeout results in termination of execution, unlike the other options that suggest alternative behaviors.
Q289
Which AWS service simplifies the machine learning workflow through automated model tuning?
AAmazon SageMaker
BAmazon EC2
CAWS Lambda
DAmazon RDS
Explanation
Amazon SageMaker provides tools for automated model tuning, while EC2 and RDS are compute/storage services and Lambda handles serverless functions.
Q290
What happens when you deploy a model using AWS Lambda for real-time inference?
AIt scales automatically based on requests.
BIt requires manual scaling.
CIt cannot handle multiple requests.
DIt only supports batch processing.
Explanation
AWS Lambda automatically scales to handle multiple concurrent invocations, unlike options B, C, and D which are incorrect scenarios.