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AWS-CAIP Practice Questions: AWS AI Services Domain

Test your AWS-CAIP knowledge with 10 practice questions from the AWS AI Services domain. Includes detailed explanations and answers.

AWS-CAIP Practice Questions

Master the AWS AI Services Domain

Test your knowledge in the AWS AI Services domain with these 10 practice questions. Each question is designed to help you prepare for the AWS-CAIP certification exam with detailed explanations to reinforce your learning.

Question 1

A healthcare provider needs to analyze patient feedback to improve service quality. They require a solution that can detect sentiment and ensure data is encrypted at rest and in transit. Which AWS service combination should they use?

A) Amazon Comprehend with AWS KMS

B) Amazon Lex with AWS Shield

C) Amazon Rekognition with AWS IAM

D) Amazon SageMaker with AWS WAF

Show Answer & Explanation

Correct Answer: A

Explanation: Amazon Comprehend can analyze text to detect sentiment and other insights, while AWS Key Management Service (KMS) ensures data encryption at rest and in transit. Amazon Lex is for chatbots, Amazon Rekognition is for image analysis, and AWS WAF and Shield are for web application security.

Question 2

A media company needs to transcribe and translate its video content into multiple languages for a global audience. The solution should support real-time processing with a focus on minimizing costs. Which combination of AWS services should they use?

A) Amazon Transcribe and Amazon Translate

B) Amazon Polly and Amazon Comprehend

C) Amazon Transcribe and Amazon Polly

D) Amazon Rekognition and Amazon Translate

Show Answer & Explanation

Correct Answer: A

Explanation: Amazon Transcribe provides real-time transcription of audio, while Amazon Translate can handle the translation of text into multiple languages. Amazon Polly is for text-to-speech, and Amazon Comprehend is for text analytics, not translation.

Question 3

A startup is developing a chatbot for customer support and wants to ensure that it can handle multiple languages with minimal effort. They also want to integrate the chatbot with their existing AWS infrastructure. Which AWS service should they choose?

A) Amazon Lex

B) Amazon Translate

C) Amazon Comprehend

D) Amazon Polly

Show Answer & Explanation

Correct Answer: A

Explanation: Amazon Lex is a service for building conversational interfaces and chatbots. It supports multiple languages and can be easily integrated with other AWS services. Amazon Translate is for translating text, Amazon Comprehend is for text analysis, and Amazon Polly is for text-to-speech conversion.

Question 4

A company is developing a new feature for their mobile app that requires real-time speech-to-text conversion. They need a service that can provide low latency and high accuracy. Which AWS service should they use?

A) Amazon Polly

B) Amazon Transcribe

C) Amazon Lex

D) Amazon Comprehend

Show Answer & Explanation

Correct Answer: B

Explanation: Amazon Transcribe is designed for converting speech to text and provides real-time transcription with high accuracy and low latency. Amazon Polly is for text-to-speech conversion, Amazon Lex is for building conversational interfaces, and Amazon Comprehend is for text analysis.

Question 5

A financial services company needs to ensure that their AI models comply with industry regulations for data privacy and security. They plan to deploy a model for fraud detection. Which AWS service and feature should they use to meet these compliance requirements?

A) Amazon SageMaker with AWS Key Management Service (KMS) for encryption.

B) Amazon Bedrock with built-in compliance templates.

C) Amazon Comprehend with IAM roles for access control.

D) Amazon Rekognition with AWS Shield for DDoS protection.

Show Answer & Explanation

Correct Answer: A

Explanation: Amazon SageMaker integrates with AWS KMS to encrypt data at rest and in transit, which is crucial for compliance in financial services. Bedrock and Comprehend do not provide specific compliance templates or encryption features. AWS Shield is for DDoS protection, not data privacy.

Question 6

A media company needs to transcribe and translate video content into multiple languages quickly and cost-effectively. Which combination of AWS services should they use?

A) Amazon Transcribe for transcription and Amazon Translate for translation.

B) Amazon Polly for speech synthesis and Amazon Rekognition for video analysis.

C) Amazon SageMaker for custom model training and Amazon Lex for language processing.

D) Amazon Comprehend for entity recognition and Amazon Kendra for search capabilities.

Show Answer & Explanation

Correct Answer: A

Explanation: Amazon Transcribe is designed for converting speech to text, and Amazon Translate can efficiently translate the transcribed text into multiple languages. Polly and Rekognition are not designed for transcription or translation, and SageMaker and Lex would be more complex and costly for this task.

Question 7

A financial institution wants to deploy a machine learning model to detect fraudulent transactions. They require a service that provides model training, deployment, and monitoring, while ensuring data encryption at rest and in transit. Which AWS service should they select?

A) Amazon Comprehend

B) Amazon SageMaker

C) AWS Lambda

D) Amazon Rekognition

Show Answer & Explanation

Correct Answer: B

Explanation: Amazon SageMaker provides a comprehensive suite for building, training, and deploying machine learning models with built-in support for data encryption at rest and in transit. Amazon Comprehend is for natural language processing, AWS Lambda is for running code in response to events, and Amazon Rekognition is for image and video analysis.

Question 8

A financial institution needs to perform real-time fraud detection on transactions. They require a solution that can integrate with their existing AWS infrastructure and provide low-latency responses. Which AWS service should they choose?

A) Amazon SageMaker

B) Amazon Fraud Detector

C) Amazon Comprehend

D) Amazon Personalize

Show Answer & Explanation

Correct Answer: B

Explanation: Amazon Fraud Detector is designed for real-time fraud detection and can be easily integrated with existing AWS infrastructure, providing low-latency responses. Amazon SageMaker can be used for custom fraud detection models but requires more setup. Amazon Comprehend is for text analysis, and Amazon Personalize is for recommendations.

Question 9

Your company wants to automate the process of extracting insights from customer feedback emails to improve product quality. The solution should identify key phrases and sentiment while considering cost efficiency. Which AWS services would best meet these requirements?

A) Amazon Comprehend for sentiment analysis and key phrase extraction, and AWS Lambda for automation.

B) Amazon Rekognition for text extraction and Amazon Lex for sentiment analysis.

C) Amazon SageMaker for building a custom NLP model and AWS Glue for data processing.

D) Amazon Polly for converting text to speech and Amazon Transcribe for speech-to-text conversion.

Show Answer & Explanation

Correct Answer: A

Explanation: Amazon Comprehend is designed for natural language processing tasks such as sentiment analysis and key phrase extraction, making it cost-effective for this scenario. AWS Lambda can automate the process by triggering Comprehend on new emails. Amazon Rekognition and Polly are not suitable for text analysis tasks, and SageMaker would be more costly and complex for this use case.

Question 10

Your company is building a customer service chatbot that needs to handle multiple languages and provide real-time responses. The chatbot must also integrate with existing AWS services and maintain a low operational cost. Which AWS service is best suited for this task?

A) Amazon Lex

B) Amazon Comprehend

C) Amazon Translate

D) Amazon SageMaker

Show Answer & Explanation

Correct Answer: A

Explanation: Amazon Lex is the best choice for building conversational interfaces such as chatbots. It supports multiple languages and can integrate with AWS Lambda for backend functionality. While Amazon Comprehend can analyze text, Amazon Translate handles language translation, and Amazon SageMaker is for building and deploying ML models, none of these are specifically designed for creating chatbots.

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About AWS-CAIP Certification

The AWS-CAIP certification validates your expertise in aws ai services and other critical domains. Our comprehensive practice questions are carefully crafted to mirror the actual exam experience and help you identify knowledge gaps before test day.