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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 2: Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Topic 3: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
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NEW QUESTION # 83
A company has an approved custom connector that uses a REST API for an internal system.
An agent in Copilot Studio must call this connector during conversations to retrieve or update data.
To meet the business needs, the solution must meet the following requirements:
Make the connector actions available for the agent to invoke.
Ensure authentication is handled at the service level, not per user.
Pass conversation context into the connector when it is called.
Surface the returned data of the connector to the user in the conversation.
You need to configure the agent and the connector action to meet the requirements.
What should you configure for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 84
Drag and Drop Question
A company uses an agent in Copilot Studio in production and requires centralized monitoring for operational visibility and troubleshooting.
The team decides to use Application Insights as the monitoring solution.
An agent activity is not included in the monitoring data.
You need to enable monitoring the agent by using Application Insights.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Create or identify the Application Insights destination for telemetry You need an active Azure Application Insights resource.
You must copy its Connection String or Instrumentation Key.
Step 2: Configure which monitoring destination the agent uses
Paste the copied connection string into the agent's advanced settings.
Step 3: Enable monitoring for the agent
Toggle the monitoring feature to "On" within the agent's configuration panel.
Step 4: Publish the agent so the monitoring configuration takes effect
Changes do not apply to production until the agent is published.
Publishing pushes the telemetry setup to the live environment.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-bot-framework-composer-capture-telemetry
NEW QUESTION # 85
A company is building an agent in Copilot Studio topic that must retrieve real-time status information from an external REST API using a Send HTTP request node.
To meet the business needs, the topic must meet the following requirements:
The request must include the required authentication header.
The request must call the endpoint using the correct HTTP method.
The response must be configured with an appropriate response data type based on a schema and saved so the topic can reuse the returned values.
You need to configure the Send HTTP request node.
Which configuration should you use for each requirement? To answer move the appropriate configuration to the correct requirements.
Answer:
Explanation:
Explanation:
Authentication # Add the required authentication headers; Retrieve data # Set the HTTP method to GET; Structured reusable response # Select a JSON/Record response type, define the schema, and save the response to a topic variable.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The Send HTTP request node must express the API contract directly. If the service expects a token or key in a header, the required header is added using a protected variable or connection-derived value rather than hard-coded secret text.
GET is the correct method for retrieving status without changing the external resource; PATCH would imply a partial update. Selecting a structured JSON or Record response type and defining its schema allows Copilot Studio to type the returned fields. Saving that response to a topic variable makes values available for conditions, formatting, adaptive cards, or later tool calls. The schema must reflect optional fields, arrays, and nested records accurately; otherwise valid responses can be rejected or fields can appear empty. The topic also needs branches for non-success status codes, timeouts, invalid JSON, and authentication failure. Where a reusable connector or REST tool already exists, that managed abstraction may be preferable to embedding HTTP details in multiple topics, but the node configuration shown is correct for the stated direct-request requirement. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure advanced agent responses with API and Send HTTP requests.
NEW QUESTION # 86
Drag and Drop Question
A company needs an agent to answer questions using live enterprise records and to execute a limited set of operations in the same system.
To meet the business needs, the agent must meet the following requirements:
- The agent must update a record using authenticated access.
- The agent must answer questions using live data at runtime.
- The agent must avoid indexing enterprise data into a search index.
You need to select the correct Power Platform connector approach for each requirement.
Which option should you use for each requirement? To answer, move the appropriate solutions to the correct requirements. You may use each solution once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Power Platform connector tool.
The most appropriate choice is to use the Power Platform connector tool.
Executes Actions: A tool connector allows the agent to perform actions (like updating a record), whereas a knowledge source is strictly for reading and retrieving data.
Authenticated Access: Power Platform connector tools use the user's credentials to securely write back and modify live enterprise records.
Real-Time Operations: It interacts directly with the host system API to execute the update instantly.
Box 2: Power Platform connector for real-time knowledge.
The best choice is to use the Power Platform connector for real-time knowledge.
For an agent that must answer from operational systems using live data at runtime without data replication-and execute limited system operations-Power Platform connectors serve as live API bridges.
Box 3: Power Platform connector for real-time knowledge.
The most appropriate option is to use the Power Platform connector for real-time knowledge.
No Data Replication or Indexing: Unlike Copilot Graph connectors-which copy and index external enterprise records into Microsoft Graph-Power Platform connectors act as live API bridges. For systems like Salesforce, ServiceNow, or SQL databases, Copilot Studio implements a real-time Retrieval-Augmented Generation (RAG) approach. It relies only on source metadata to build queries at runtime, meaning your actual enterprise records are never ingested, duplicated, or saved to a search index.
Live System Integration: This type of connector allows the agent to answer questions directly from live operational systems and preserves security configurations by requiring users to sign in and authenticate using their own source-level permissions.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/overview-copilot-connector
NEW QUESTION # 87
A solution architect is implementing a governance process for an agent developed in Copilot Studio. Before the agent is moved to production, the organization requires a standardized validation process to ensure that updates to the underlying knowledge base do not cause regressions in response accuracy.
The validation process must satisfy the following technical criteria:
- Consistency: Execute a fixed library of test cases containing
specific user prompts.
- Grounding: Measure the quality of the generated output against a
verified "golden" response.
- Comparison: Provide a performance delta between the current version
and previous test runs.
You need to choose an evaluation method that meets the requirements.
What should you use?
Answer: D
Explanation:
Using a predefined test set (often called a "golden dataset") and comparing results against expected outcomes across runs is the exact industry standard and best practice for this scenario.
In the context of Copilot Studio and LLM governance, this method is known as Regression Testing or Automated Evaluation.
Consistency: A fixed library of test cases (prompts) ensures that the agent is evaluated on the exact same baseline every time the knowledge base changes.
Grounding: By matching the real-time output against a verified "golden" response, you can use semantic similarity metrics (such as BERTscore, BLEU, or LLM-as-a-judge) to score how well the agent stayed grounded in the source material.
Comparison: Storing the evaluation scores of each run allows you to build a deployment dashboard. This gives you a clear performance delta (e.g., "Accuracy dropped by 4% after the June policy update") before approving the production release.
Reference:
https://agentic-engineering.swmansion.com/expanding-horizons/model-evaluation/
NEW QUESTION # 88
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