Amazon AWS

AWS Certified Generative AI Developer – Professional

AIP-C01

The AWS Certified Generative AI Developer – Professional (AIP-C01) exam tests your ability to build and deploy generative AI applications on AWS. It is designed for developers specializing in AI technologies.

498 questions 0 views Free
Start Mock Test Timed · Full-length · Scored

Questions 201–210 of 498

Q201

You are configuring an Amazon SageMaker endpoint for real-time inference. What happens when the instance type is too small?

  • A The endpoint will fail to deploy
  • B Inferences will be slow, possibly timing out
  • C Cost will increase unexpectedly
  • D The model will not be loaded
Explanation Using a too small instance type can lead to slow inference speeds and timeouts, whereas the other options are incorrect as they misrepresent the deployment process.
Q202

Which service provides managed machine learning model training?

  • A Amazon SageMaker
  • B AWS Lambda
  • C AWS Batch
  • D EC2 Instances
Explanation Amazon SageMaker is specifically designed for machine learning purposes, while others serve different functions.
Q203

A company needs to ensure their sensitive data in S3 is encrypted at rest. What should they do?

  • A Use S3 server-side encryption
  • B Set public ACLs on buckets
  • C Enable bucket versioning
  • D Use CloudFront with default settings
Explanation Using S3 server-side encryption ensures that data is encrypted at rest, unlike other options which do not provide this security.
Q204

You are configuring AWS IAM roles. What happens if you attach multiple policies to the same role?

  • A Only the first policy is applied
  • B All policies are evaluated together
  • C Conflicting policies cancel each other out
  • D Only Deny policies take effect
Explanation All attached policies are evaluated together, allowing for a combination of permissions.
Q205

Which service allows you to train machine learning models on AWS?

  • A Amazon SageMaker
  • B Amazon CloudWatch
  • C AWS Config
  • D AWS Lambda
Explanation Amazon SageMaker is designed for ML model training, while others serve different purposes.
Q206

A company needs to securely store sensitive data in the cloud. Which AWS service should they choose for encryption at rest?

  • A AWS KMS
  • B Amazon S3
  • C AWS CloudTrail
  • D Amazon ECS
Explanation AWS KMS provides key management and encryption services, unlike the other options which serve different functions.
Q207

You are configuring an AWS Lambda function trigger. What happens when the function exceeds its timeout limit during invocation?

  • A The function automatically retries the invocation
  • B The function succeeds with partial output
  • C The function fails and returns an error
  • D The function continues running indefinitely
Explanation If the timeout is exceeded, the function fails and returns an error, unlike the other options which are incorrect behavior.
Q208

Which service allows you to deploy machine learning models easily?

  • A Amazon SageMaker
  • B AWS Lambda
  • C Amazon EC2
  • D Amazon RDS
Explanation Amazon SageMaker is specifically designed for deploying ML models, whereas the others serve different purposes.
Q209

A company needs a scalable data lake. Which service should they use?

  • A Amazon Redshift
  • B Amazon S3
  • C AWS Aurora
  • D Amazon DynamoDB
Explanation Amazon S3 is designed for scalable storage of data lakes, whereas the other options are more structured data solutions.
Q210

What happens when you modify an IAM policy attached to a user?

  • A Changes apply instantly
  • B User is logged out immediately
  • C Previous permissions are kept
  • D Policy must be reattached
Explanation Changes to IAM policies take effect immediately, while the other options suggest incorrect behavior.