Free Amazon AIP-C01 Exam Questions
Absolute Free AIP-C01 Exam Practice for Comprehensive Preparation
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Amazon AIP-C01 Exam Questions
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Provided By: Amazon
- Exam: AWS Certified Generative AI Developer - Professional (Beta)
- Certification: AWS Certified Professional
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Total Questions: 380
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Updated On: Mar 07, 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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A company is building an AI advisory application by using Amazon Bedrock. The application will providerecommendations to customers. The company needs the application to explain its reasoning process and citespecific sources for data. The application must retrieve information from company data sources and show stepby-step reasoning for recommendations. The application must also link data claims to source documents andmaintain response latency under 3 seconds.Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
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A company is building an AI advisory application by using Amazon Bedrock. The application will providerecommendations to customers. The company needs the application to explain its reasoning process and citespecific sources for data. The application must retrieve information from company data sources and show stepby-step reasoning for recommendations. The application must also link data claims to source documents andmaintain response latency under 3 seconds.Which solution will meet these requirements with the LEAST operational overhead?
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Question 2
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A manufacturing company uses a legacy on-premises ERP system to track assembly line issues. The company wants to integrate Amazon Bedrock to automatically analyze "Technician Notes" (unstructured text) and categorize the root cause of failures using the Anthropic Claude 4.5 Sonnet model.The legacy ERP system has a strict limitation: it blocks all user operations while waiting for external API responses and times out if a response takes longer than 300 milliseconds. The GenAI analysis typically takes 3–5 seconds to complete.As a GenAI Developer, which integration architecture should you design to incorporate the Foundation Model (FM) capabilities without disrupting the legacy system's operations?
Answer: C
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A manufacturing company uses a legacy on-premises ERP system to track assembly line issues. The company wants to integrate Amazon Bedrock to automatically analyze "Technician Notes" (unstructured text) and categorize the root cause of failures using the Anthropic Claude 4.5 Sonnet model.The legacy ERP system has a strict limitation: it blocks all user operations while waiting for external API responses and times out if a response takes longer than 300 milliseconds. The GenAI analysis typically takes 3–5 seconds to complete.As a GenAI Developer, which integration architecture should you design to incorporate the Foundation Model (FM) capabilities without disrupting the legacy system's operations?
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Question 3
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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 4
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A legal tech company uses Amazon Bedrock to extract specific liability clauses from uploaded contracts. Users have reported instances where the model "hallucinates" clauses that do not exist in the source text.Which mechanisms should the developer implement to verify accuracy and reduce these hallucinations?
Answer: A,B
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A legal tech company uses Amazon Bedrock to extract specific liability clauses from uploaded contracts. Users have reported instances where the model "hallucinates" clauses that do not exist in the source text.Which mechanisms should the developer implement to verify accuracy and reduce these hallucinations?
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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?