AIF-C01 practice question: AWS generative AI services (1 of 5)
Fundamentals of Generative AI A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.
A logistics company is moving its AI agents into production on Amazon Bedrock AgentCore.
The platform team must assign each requirement to the AgentCore service that meets it. Each option is used at most once, and one option is not needed.
Match each item to one answer. An answer can be used more than once, and some may not be used.
Items
Host the agent code in a secure, serverless runtime that scales with demand
Keep key facts about each user so agents can recall them in later sessions
Expose existing APIs and Lambda functions to agents as MCP-compatible tools
Let agents call third-party services on behalf of users, using managed credentials
Trace, debug and monitor agent behavior in production
Answers
AA. AgentCore Observability, which traces, debugs and monitors agent performance.
BB. AgentCore Runtime, which hosts and scales agents in a secure, serverless environment.
CC. AgentCore Identity, which manages agent identities, access and authentication.
DD. AgentCore Browser, which gives agents a cloud browser to navigate sites and fill in forms.
EE. AgentCore Memory, which keeps context about users so agents can recall it later.
FF. AgentCore Gateway, which turns existing APIs and Lambda functions into MCP tools.
Show the answer and explanation
Correct matches
Host the agent code in a secure, serverless runtime that scales with demand: B. AgentCore Runtime, which hosts and scales agents in a secure, serverless environment.
Keep key facts about each user so agents can recall them in later sessions: E. AgentCore Memory, which keeps context about users so agents can recall it later.
Expose existing APIs and Lambda functions to agents as MCP-compatible tools: F. AgentCore Gateway, which turns existing APIs and Lambda functions into MCP tools.
Let agents call third-party services on behalf of users, using managed credentials: C. AgentCore Identity, which manages agent identities, access and authentication.
Trace, debug and monitor agent behavior in production: A. AgentCore Observability, which traces, debugs and monitors agent performance.
About each answer
A. Observability gives a unified view to trace, debug and monitor agent performance in production. It matches the need to watch agent behavior once it is live.
B. Runtime is a secure, serverless environment for deploying and scaling agents and tools. It matches the hosting need.
C. Identity manages agent identities, access and authentication, including the credentials agents need for outside services. It matches the third-party access need.
D. Browser lets agents use web applications by navigating sites and filling in forms. None of the five requirements is about web browsing, so this is the option that is not used.
E. Memory lets agents keep context across sessions, including long-term facts about each user. It matches the need to recall user facts in later sessions.
F. Gateway converts APIs, Lambda functions and existing services into Model Context Protocol tools that agents can call. It matches the need to expose existing services to agents.
Explanation
Each AgentCore service addresses one production need. Runtime hosts the agent, Memory keeps user context across sessions, Gateway exposes existing APIs as MCP tools, Identity handles credentials for outside services, and Observability traces and monitors behavior. Browser is for web navigation, which no requirement here asks for. This question tests matching each production need to its AgentCore service.
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