Troubleshooting practice questions

Refer to the exhibit. You are troubleshooting an Azure OpenAI API call that is returning incomplete responses. The response stops mid-sentence. Which parameter should you adjust?

Exhibit

{
  "model": "gpt-4",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "What is the capital of France?"}
  ],
  "max_tokens": 500,
  "temperature": 0.7,
  "top_p": 0.95,
  "frequency_penalty": 0,
  "presence_penalty": 0,
  "stop": null
}

Trap 1: Remove the stop parameter.

Stop is null, so not causing issue.

Trap 2: Increase temperature to 1.0.

Temperature does not limit length.

Trap 3: Increase top_p to 1.0.

Top_p does not limit length.

A
Increase max_tokens to 1000.
Increases token budget for response.
B
Remove the stop parameter.
Why wrong: Stop is null, so not causing issue.
C
Increase temperature to 1.0.
Why wrong: Temperature does not limit length.
D
Increase top_p to 1.0.
Why wrong: Top_p does not limit length.

Question 2hardmultiple choice

You are troubleshooting a Copilot Studio agent that uses a Power Automate flow to look up customer information from a CRM system. The flow runs successfully when tested manually, but when the agent triggers it, the flow fails with an authentication error. What is the most likely cause?

Trap 1: The flow connection was deleted after the manual test.

If the connection were deleted, the manual test would also fail.

Trap 2: The user must sign in again before triggering the flow.

The flow is triggered by the agent, not by the user signing in.

Trap 3: The CRM connector requires additional permissions that were not…

If the connector had insufficient permissions, the manual test would also fail.

A
The flow connection was deleted after the manual test.
Why wrong: If the connection were deleted, the manual test would also fail.
B
The flow uses the agent's identity instead of the user's identity, and the agent lacks CRM access.
Copilot Studio flows can run as the bot or the user; if configured as bot, the bot's identity may not have access.
C
The user must sign in again before triggering the flow.
Why wrong: The flow is triggered by the agent, not by the user signing in.
D
The CRM connector requires additional permissions that were not granted.
Why wrong: If the connector had insufficient permissions, the manual test would also fail.

Question 3hardmultiple choice

You are troubleshooting an agent built with Microsoft Copilot Studio. The agent uses a custom topic to check inventory levels. The topic calls a Power Automate flow that returns JSON with 'inStock' boolean. The agent sometimes says 'Item is in stock' even when the flow returns false. What is the most likely cause?

Trap 1: The Power Automate flow has a timeout and returns default true.

Timeout would cause an error, not a false positive.

Trap 2: The agent's response is based on a different variable that defaults…

Default values could cause issues but less likely than variable mismatch.

Trap 3: The agent's topic is not parsing the JSON output correctly.

Parsing JSON is straightforward.

A
The Power Automate flow has a timeout and returns default true.
Why wrong: Timeout would cause an error, not a false positive.
B
The topic's condition is using a variable that is not being updated with the flow output.
The variable might be stale or not set correctly.
C
The agent's response is based on a different variable that defaults to true.
Why wrong: Default values could cause issues but less likely than variable mismatch.
D
The agent's topic is not parsing the JSON output correctly.
Why wrong: Parsing JSON is straightforward.

Question 4hardmultiple choice

You are the Azure AI engineer for a large e-commerce company. The company uses Azure Computer Vision to automatically tag product images uploaded by sellers. The system has been running smoothly for months. However, after a recent update to the Computer Vision API, you notice that certain images of clothing items are being tagged with incorrect labels, such as 'shoe' for a shirt. The images are clear and well-lit. You have confirmed that the image format (JPEG) is supported and the size is within limits. The issue occurs consistently for clothing items with similar colors. Other product categories work fine. You suspect the issue is related to the API version. What should you do first?

Trap 1: Increase the image size limit.

Size is within limits; not the cause.

Trap 2: Switch to a custom model trained on clothing items.

Custom model may not be necessary; issue likely version-related.

Trap 3: Reduce the confidence threshold to 50% to see if more tags appear.

May worsen accuracy.

A
Increase the image size limit.
Why wrong: Size is within limits; not the cause.
B
Check the API version used in the application code and compare with the latest version.
API updates may change behavior; rolling back or updating code may fix.
C
Switch to a custom model trained on clothing items.
Why wrong: Custom model may not be necessary; issue likely version-related.
D
Reduce the confidence threshold to 50% to see if more tags appear.
Why wrong: May worsen accuracy.

Question 5mediummultiple choice

You are troubleshooting an Azure AI Search indexer that fails to index a PDF file stored in Azure Blob Storage. The error message indicates that the document is encrypted. What is the most likely cause and solution?

Trap 1: The indexer is not configured with the PDF parser; set the parsing…

PDF parser is default; encryption is the problem.

Trap 2: The file format is unsupported; convert to PDF/A

PDF is supported; encryption is the issue.

Trap 3: The file is too large; split it into smaller parts

Size limits are separate from encryption errors.

A
The indexer is not configured with the PDF parser; set the parsing mode
Why wrong: PDF parser is default; encryption is the problem.
B
The file format is unsupported; convert to PDF/A
Why wrong: PDF is supported; encryption is the issue.
C
The file is too large; split it into smaller parts
Why wrong: Size limits are separate from encryption errors.
D
The PDF is encrypted; remove encryption before indexing
Encrypted documents cannot be processed; decryption is required.

Question 6mediummultiple choice

You are troubleshooting an Azure AI Search indexer that is failing with the error 'No skillset was found with the name 'skillset-name'.' The skillset exists in the same resource group. What is the most likely cause?

Trap 1: The skillset name has a typo or is case-sensitive.

Possible, but error says 'not found' suggests different service.

Trap 2: The indexer's data source is misconfigured.

Data source issue would give different error.

Trap 3: The indexer does not have permission to access the skillset.

Permissions would give access denied, not not found.

A
The indexer and skillset are in different Azure AI Search services.
Indexer references skillset by name; must be in same service.
B
The skillset name has a typo or is case-sensitive.
Why wrong: Possible, but error says 'not found' suggests different service.
C
The indexer's data source is misconfigured.
Why wrong: Data source issue would give different error.
D
The indexer does not have permission to access the skillset.
Why wrong: Permissions would give access denied, not not found.