Free Amazon AIP-C01 Exam Questions
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Amazon AIP-C01 Exam Questions
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Provided By: Amazon
- Exam: AWS Certified Generative AI Developer - Professional
- Certification: AWS Certified Professional
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Total Questions: 380
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Updated On: May 22, 2026
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Rated: 4.9 |
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Online Users: 760
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Question 1
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An online gaming platform is launching a GenAI-powered support assistant using multiple Foundation Models (FMs) available in Amazon Bedrock (including Amazon Titan and Anthropic Claude). The security team has issued strict requirements for the assistant's input handling:PII Protection: Users must be prevented from submitting email addresses or phone numbers.Toxicity: Hate speech and insults must be blocked immediately.Custom Blocking: A specific list of known "cheat codes" and "exploit keywords" must be blocked from entering the model context.Consistency: These rules must apply uniformly across all used FMs without rewriting application logic for each model.Which solution should you implement to meet these requirements with the LEAST operational overhead?
Answer: D
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An online gaming platform is launching a GenAI-powered support assistant using multiple Foundation Models (FMs) available in Amazon Bedrock (including Amazon Titan and Anthropic Claude). The security team has issued strict requirements for the assistant's input handling:PII Protection: Users must be prevented from submitting email addresses or phone numbers.Toxicity: Hate speech and insults must be blocked immediately.Custom Blocking: A specific list of known "cheat codes" and "exploit keywords" must be blocked from entering the model context.Consistency: These rules must apply uniformly across all used FMs without rewriting application logic for each model.Which solution should you implement to meet these requirements with the LEAST operational overhead?
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Question 2
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A company is developing a customer support application that uses Amazon Bedrock foundation models(FMs) to provide real-time AI assistance to the company’s employees. The application must display AIgenerated responses character by character as the responses are generated. The application needs to supportthousands of concurrent users with minimal latency. The responses typically take 15 to 45 seconds to finish.Which solution will meet these requirements?
Answer: A
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A company is developing a customer support application that uses Amazon Bedrock foundation models(FMs) to provide real-time AI assistance to the company’s employees. The application must display AIgenerated responses character by character as the responses are generated. The application needs to supportthousands of concurrent users with minimal latency. The responses typically take 15 to 45 seconds to finish.Which solution will meet these requirements?
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Question 3
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A financial services company wants to develop an Amazon Bedrock application that gives analysts the ability
to query quarterly earnings reports and financial statements. The financial documents are typically 5–100
pages long and contain both tabular data and text. The application must provide contextually accurate
responses that preserve the relationship between financial metrics and their explanatory text. To support
accurate and scalable retrieval, the application must incorporate document segmentation and context
management strategies.Which solution will meet these requirements?
Answer: B
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A financial services company wants to develop an Amazon Bedrock application that gives analysts the ability
to query quarterly earnings reports and financial statements. The financial documents are typically 5–100
pages long and contain both tabular data and text. The application must provide contextually accurate
responses that preserve the relationship between financial metrics and their explanatory text. To support
accurate and scalable retrieval, the application must incorporate document segmentation and context
management strategies.Which solution will meet these requirements?
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Question 4
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A company runs a Retrieval Augmented Generation (RAG) application that uses Amazon BedrockKnowledge Bases to perform regulatory compliance queries. The application uses theRetrieveAndGenerateStream API. The application retrieves relevant documents from a knowledge base thatcontains more than 50,000 regulatory documents, legal precedents, and policy updates.The RAG application is producing suboptimal responses because the initial retrieval often returnssemantically similar but contextually irrelevant documents. The poor responses are causing modelhallucinations and incorrect regulatory guidance. The company needs to improve the performance of the RAGapplication so it returns more relevant documents.Which solution will meet this requirement with the LEAST operational overhead?
Answer: D
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A company runs a Retrieval Augmented Generation (RAG) application that uses Amazon BedrockKnowledge Bases to perform regulatory compliance queries. The application uses theRetrieveAndGenerateStream API. The application retrieves relevant documents from a knowledge base thatcontains more than 50,000 regulatory documents, legal precedents, and policy updates.The RAG application is producing suboptimal responses because the initial retrieval often returnssemantically similar but contextually irrelevant documents. The poor responses are causing modelhallucinations and incorrect regulatory guidance. The company needs to improve the performance of the RAGapplication so it returns more relevant documents.Which solution will meet this requirement with the LEAST operational overhead?
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Question 5
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A bank uses an AWS CodePipeline to deploy a GenAI loan approval application. The application consists of an Amazon Bedrock Knowledge Base and a set of Lambda functions. The compliance team requires that before any new Knowledge Base configuration (e.g., chunking strategy change) is promoted to Production, it must pass a "Golden Set" evaluation.If the evaluation score (F1 score) is below 0.85, the pipeline must automatically rollback.Which solution meets these requirements?
Answer: C
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A bank uses an AWS CodePipeline to deploy a GenAI loan approval application. The application consists of an Amazon Bedrock Knowledge Base and a set of Lambda functions. The compliance team requires that before any new Knowledge Base configuration (e.g., chunking strategy change) is promoted to Production, it must pass a "Golden Set" evaluation.If the evaluation score (F1 score) is below 0.85, the pipeline must automatically rollback.Which solution meets these requirements?