PL-900 Practice Question: Demonstrate the capabilities of Microsoft Copilot Studio
A logistics company wants a copilot that greets customers on its public website and answers questions about shipping rates. The team wants the fastest way to publish a working copilot without writing code. Which Microsoft Copilot Studio capability should they use to define the conversational flow?
⚠ Common exam trap
The trap here is assuming that any Power Platform component can define a copilot's dialog, when only Copilot Studio's authoring canvas provides that capability.
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
✓
Author the conversation visually using the Topics canvas with trigger phrases and message nodes.
Microsoft Copilot Studio's Topics canvas is the no-code authoring surface for conversation flow, using trigger phrases and nodes such as messages, questions, and conditions. Building a public-facing copilot that greets visitors and answers shipping questions is accomplished by creating topics, not by connectors, flows, or tables, which are supporting components rather than the dialog authoring mechanism.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Write a custom connector that calls the shipping API from Power Apps.
Why it's wrong here
Custom connectors extend the platform's ability to call external APIs, but they are integration components, not the conversational authoring surface. Building a connector would not by itself produce a greeting or question-and-answer flow, and it requires API definitions. The scenario asks for the fastest no-code way to define the conversation, which the Topics canvas provides directly.
- ✗
Configure a Dataverse table with shipping rate rows and enable auditing.
Why it's wrong here
Dataverse stores business data and auditing tracks changes, but neither authors a conversation. Creating a table gives the copilot a data source, not a dialog. The copilot still needs topics or generative answers to respond to visitors. This option addresses data storage rather than the conversational flow the scenario requires.
- ✓
Author the conversation visually using the Topics canvas with trigger phrases and message nodes.
Why this is correct
The Topics canvas in Microsoft Copilot Studio lets makers visually build conversation paths by defining trigger phrases and adding message, question, and condition nodes. This requires no code and is the standard way to author a copilot's dialog. For a public shipping-rate copilot, a maker can create a topic that triggers on phrases like 'shipping rates' and respond with configured messages.
- ✗
Create a Power Automate cloud flow that sends an adaptive card to the website.
Why it's wrong here
Cloud flows automate processes and can be invoked from a copilot, but they do not author the copilot's dialog. A flow alone cannot greet a website visitor or interpret their questions. While a flow could fetch shipping rates, the conversational structure still must be defined in Copilot Studio topics, so this does not satisfy the requirement for defining the flow.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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