Free Amazon AIF-C01 Exam Questions

Become Amazon Certified with updated AIF-C01 exam questions and correct answers

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Total 595 Questions | Updated On: Feb 21, 2026

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Question 1

Which of the following are correct regarding model evaluation for Amazon Bedrock? (Select two)

A : Human model evaluation is valuable for assessing qualitative aspects of the model, whereas, automatic model valuation is valuable for assessing quantitative aspects of the model

B : For human model evaluation, you can use either built-in prompt datasets or your own prompt datasets

C : Human model evaluation provides model scores that are calculated using various statistical methods such as BERT Score and F1

D : Automatic model evaluation is valuable for assessing qualitative aspects of the model, whereas, human model valuation is valuable for assessing quantitative aspects of the model

E : Automatic model evaluation provides model scores that are calculated using various statistical methods such as BERT Score and F1

Answer: A,E

Question 2

A tech company is developing an AI-powered customer support solution using Retrieval-Augmented Generation (RAG) with Amazon Bedrock to provide more accurate and context-aware responses. To achieve this, the company needs a database that can handle fast index lookups and similarity searches to quickly retrieve the most relevant documents or information from a large dataset. The ideal database solution should efficiently support search queries and rank results based on their relevance to the input provided by the user.Given these requirements, which database solution would be most appropriate for the company to use?

A : The company should use Amazon OpenSearch Service, which is designed to provide fast search capabilities and supports full-text search, indexing, and similarity scoring

B : The company should use Amazon DocumentDB (with MongoDB compatibility), a managed NoSQL document database service designed for storing semi-structured data to facilitate search capabilities

C : The company should use Amazon Aurora, a managed relational database service that is optimized for high-performance transactional workloads that can be useful for search operations

D : The company should use Amazon DynamoDB, a fully managed NoSQL database service that offers low-latency data retrieval to handle fast index lookups as well as search operations

Answer: A

Question 3

An insurance company is transitioning to AWS Cloud and wants to use Amazon Bedrock for product recommendations. The company wants to supplement organization-specific information to the underlying Foundation Model (FM).

Which of the following represents the best-fit solution for the given use case?

A : Implement Reinforcement Learning from Human Feedback (RLHF) in Amazon Bedrock by leveraging the contextual information from the company's private data

B : Use Knowledge Bases for Amazon Bedrock to supplement contextual information from the company's private data to the FM using Reinforcement Learning from Human Feedback (RLHF)

C : Use Knowledge Bases for Amazon Bedrock to supplement contextual information from the company's private data to the FM using Retrieval Augmented Generation (RAG)

D : Fine-tune the base Foundation Model (FM) used by Amazon Bedrock by leveraging the contextual information from the company's private data

Answer: C

Question 4

Which of the following represents the best-fit use cases for utilizing Retrieval augmented generation (RAG) in Amazon Bedrock? (Select two)

A : Customer service chatbot

B : Original content creation

C : Product recommendations that match shopper preferences

D : Image generation from text prompt

E : Medical queries chatbot

Answer: A,E

Question 5

Consider a scenario where a fully-managed AWS service needs to be used for automating the extraction of insights from legal briefs such as contracts and court records.What do you recommend?

A : Amazon Translate

B : Amazon Comprehend

C : Amazon Rekognition

D : Amazon Transcribe

Answer: B

Page: 1 / 119

Total 595 Questions | Updated On: Feb 21, 2026

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