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AIF-C01 Practice Question: A developer is building a customer support…
A developer is building a customer support chatbot using Amazon Bedrock Agents. The agent needs to retrieve order status by calling an external API. Which configuration enables the agent to call the API?
⚠ Common exam trap
AWS often tests the distinction between static data retrieval (knowledge bases) and dynamic action execution (action groups), so candidates mistakenly think a knowledge base can be used to call APIs when it only stores and retrieves pre-indexed content.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Define an action group with an API schema and Lambda function
Amazon Bedrock Agents use action groups to define custom actions that the agent can invoke, such as calling an external API. An action group requires an API schema (in OpenAPI 3.0 format) to describe the API operations and a Lambda function to execute the API call and return the result. This configuration enables the agent to dynamically retrieve order status by invoking the Lambda function based on the user's request.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Define an action group with an API schema and Lambda function
Why this is correct
An action group with an API schema and Lambda function defines the external API's operations and provides the execution code that calls it. This is the mechanism enabling the agent to invoke the order status API during a session.
- ✗
Configure a knowledge base with the API documentation
Why it's wrong here
A knowledge base performs semantic retrieval over indexed documents; it cannot execute HTTP requests, so the agent never reaches the order API. It is tempting because knowledge bases ground responses in API documentation, which suits question-answering over static reference material rather than live order lookups.
- ✗
Use a guardrail to allow API calls
Why it's wrong here
Guardrails filter and block content against defined policies; they do not grant or perform outbound API invocation, so the call never occurs. It is tempting because guardrails govern what an agent may say or do, which suits enforcing safety and compliance boundaries rather than enabling action-group connectivity.
- ✗
Enable model caching for the API endpoint
Why it's wrong here
Model caching stores repeated inference responses; it does not invoke an external endpoint, so no order status is ever fetched. It is tempting because caching reduces latency and cost for repeated identical prompts, which suits high-volume inference workloads rather than outbound API integration.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.