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 11–20 of 498

Q11

A company needs to securely manage API keys for a microservices architecture. Which AWS service should they use?

  • A AWS Secrets Manager
  • B Amazon S3
  • C AWS CloudTrail
  • D AWS Lambda
Explanation AWS Secrets Manager is tailored for securely managing sensitive information, unlike the others.
Q12

What happens when you enable versioning on an S3 bucket?

  • A Previous versions are deleted.
  • B Only the latest version is stored.
  • C All versions of objects are retained.
  • D Objects cannot be updated anymore.
Explanation Versioning retains all versions of an object, whereas the other options misinterpret its functionality.
Q13

Which service is primarily used for building chatbots in AWS?

  • A Amazon Lex
  • B AWS Lambda
  • C Amazon Polly
  • D Amazon Comprehend
Explanation Amazon Lex provides the tools to build conversational interfaces, while the others serve different purposes.
Q14

A company needs to set up an AI model that can generalize well across various unforeseen data inputs. What approach should they consider?

  • A Overfitting the model to training data
  • B Using data augmentation techniques
  • C Restricting dataset size to a minimum
  • D Ignoring validation datasets
Explanation Data augmentation helps models learn to generalize by exposing them to varied scenarios, while the other options can hinder generalization.
Q15

You are configuring an Amazon SageMaker endpoint for a sensitive project. What is a key security consideration?

  • A Using default IAM roles
  • B Encrypting data at rest
  • C Suppressing monitoring logs
  • D Deploying without network isolation
Explanation Encrypting data at rest is critical for securing sensitive data, while the other options compromise security.
Q16

Which AWS service is best for real-time streaming data processing?

  • A Amazon Kinesis
  • B AWS Lambda
  • C Amazon S3
  • D Amazon RDS
Explanation Amazon Kinesis is designed for real-time streaming, while others are not primarily focused on streaming data.
Q17

A company needs to ensure its generative AI models meet compliance regulations. Which service should they utilize to monitor and log these interactions?

  • A Amazon CloudTrail
  • B Amazon QuickSight
  • C AWS Elastic Beanstalk
  • D Amazon SageMaker
Explanation Amazon CloudTrail logs API calls, aiding compliance, unlike other options that support different functions.
Q18

You are configuring a generative AI model with AWS SageMaker. What happens when you choose a Multi-Model Endpoint?

  • A Improves batch processing
  • B Reduces deployment costs
  • C Increases latency significantly
  • D Supports only one model
Explanation Multi-Model Endpoints reduce costs by deploying multiple models on a single endpoint, while others describe incorrect outcomes.
Q19

Which service provides a serverless execution environment for running code in response to events?

  • A AWS Lambda
  • B Amazon EC2
  • C Amazon ECS
  • D AWS Elastic Beanstalk
Explanation AWS Lambda runs code serverlessly on events, while EC2 requires servers, ECS manages containers, and Elastic Beanstalk simplifies app deployment.
Q20

A company needs to analyze real-time streaming data. Which AWS service should they use?

  • A Amazon S3
  • B Amazon Kinesis
  • C AWS Glue
  • D Amazon RDS
Explanation Amazon Kinesis is designed for real-time streaming data analysis, unlike S3 which is for storage, Glue for ETL, and RDS for relational databases.