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?
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?
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?
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?
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?
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?
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?
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?
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?
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?
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.
Ready to Accelerate Your AWS-CAIP Preparation?
Join thousands of professionals who are advancing their careers through expert certification preparation with FlashGenius.
- ✅ Unlimited practice questions across all AWS-CAIP domains
- ✅ Full-length exam simulations with real-time scoring
- ✅ AI-powered performance tracking and weak area identification
- ✅ Personalized study plans with adaptive learning
- ✅ Mobile-friendly platform for studying anywhere, anytime
- ✅ Expert explanations and study resources
Already have an account? Sign in here
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.