A company is building a RAG application using Amazon Bedrock Knowledge Bases. They need to support multiple use cases with different data sources and want to minimize the number of knowledge bases they manage. Which approach is most efficient?

Use a different foundation model for each use case to avoid conflicts.

Store all data in a single vector database without any knowledge base abstraction.

Use a single knowledge base with multiple data sources and use metadata filtering to route queries.

Create separate knowledge bases for each use case and data source.

A company is building a real-time translation application for customer support chats. They need low latency and support for 20 languages. The team is evaluating different foundation models. Which selection criteria are most important to prioritize?

Input/output length and prompt caching

Multilingual support and low latency

Which business application is a typical use case for an AI agent?

Storing customer records in a database

Rendering graphics for a video game

Automating customer support by resolving issues and escalating when needed

AWSCertified AI Practitioner

Domain 3Objective 1

Task Statement 3.1: Describe Design Considerations for Applications That Use Foundation Models (FMs). AIF-C01 Practice Questions (Page 5)

Part of the Content Domain 3: Applications of Foundation Models domain, which makes up ~32% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~11–19 in this domain), expect 3–5 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)

29questions here

6free pages

6concepts

Questions 21–25

21expert · hard
A company is building a RAG application using Amazon Bedrock Knowledge Bases. They need to support multiple use cases with different data sources and want to minimize the number of knowledge bases they manage. Which approach is most efficient?
Select an answer first
22application · medium
A company is building a real-time translation application for customer support chats. They need low latency and support for 20 languages. The team is evaluating different foundation models. Which selection criteria are most important to prioritize?
Select an answer first
23foundation · easy
A creative writing application needs to generate diverse story ideas. Which inference parameter setting is most likely to achieve this?
Select an answer first
24foundation · easy
Which business application is a typical use case for an AI agent?
Select an answer first
25foundation · easy
Which customization approach for a foundation model is generally the most cost-effective when you need to adapt the model to a new domain without changing its weights?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to AIF-C01

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by AWS. “AIF-C01” is a trademark of its owner, used for identification only.

Task Statement 3.1: Describe Design Considerations for Applications That Use Foundation Models (FMs). AIF-C01 Practice Questions (Page 5)

Questions 21–25

A company is building a RAG application using Amazon Bedrock Knowledge Bases. They need to support multiple use cases with different data sources and want to minimize the number of knowledge bases they manage. Which approach is most efficient?

A company is building a real-time translation application for customer support chats. They need low latency and support for 20 languages. The team is evaluating different foundation models. Which selection criteria are most important to prioritize?

A creative writing application needs to generate diverse story ideas. Which inference parameter setting is most likely to achieve this?

Which business application is a typical use case for an AI agent?

Which customization approach for a foundation model is generally the most cost-effective when you need to adapt the model to a new domain without changing its weights?

Keep studying — Content Domain 3: Applications of Foundation Models