AI-102 Implement an agentic solution Practice Question
A company is building an agentic solution using Microsoft Copilot Studio. The agent needs to retrieve customer order status from an external CRM API. The API requires OAuth 2.0 authentication with client credentials. Which connector configuration should the developer use?
⚠ Common exam trap
Watch out — candidates often confuse the HTTP connector with custom connectors, thinking a custom connector is required for OAuth 2.0, but the HTTP connector natively supports OAuth 2.0 client credentials without needing to build a custom connector.
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
✓
Use the HTTP connector with OAuth2 client credentials grant type.
The HTTP connector in Microsoft Copilot Studio supports the OAuth 2.0 client credentials grant type, which is exactly what the external CRM API requires. This grant type allows the agent to authenticate as an application (not a user) by sending a client ID and client secret to obtain an access token, making it ideal for server-to-server API calls where no user interaction is needed.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a custom connector with API Key authentication.
Why it's wrong here
API Key is not OAuth 2.0.
- ✓
Use the HTTP connector with OAuth2 client credentials grant type.
Why this is correct
Correct for OAuth 2.0 client credentials flow.
- ✗
Use a Power Automate flow with a CRM connector that uses service principal.
Why it's wrong here
Service principal might not be OAuth client credentials.
- ✗
Use an AI Builder model to call the API.
Why it's wrong here
AI Builder is not for API authentication.
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This AI-102 practice question is part of Courseiva's free Microsoft 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 AI-102 exam.