AI-102 Timed Practice Test 2 — 10 Questions

Question 1

A developer is using Azure OpenAI to generate code snippets. The developer needs to ensure that the generated code does not contain security vulnerabilities. Which TWO actions should the developer take? (Choose two.)

Accepted Answer

Include examples of secure coding practices in the prompt.. Option A is correct because including examples of secure coding practices in the prompt (few-shot prompting) directly guides the model to generate code that follows those patterns. This technique leverages in-context learning, where the model uses the provided examples to shape its output, reducing the likelihood of producing insecure code without requiring fine-tuning or external filtering.

Answer

Set the max_tokens parameter to a high value to allow longer outputs.

Answer

Fine-tune the model on a dataset containing examples of insecure code.

Answer

Add a system message that instructs the model to never generate insecure code.

Question 2

A company uses Azure Form Recognizer to extract data from invoices. The extracted data contains many errors for a specific vendor's invoices. What should they do?

Accepted Answer

Custom train a model with labeled examples of that vendor's invoices.. Option D is correct because Azure Form Recognizer's prebuilt invoice model may not generalize well to vendor-specific layouts or data formats. By custom training a model with labeled examples of that vendor's invoices, you adapt the extraction to the unique fields, tables, and formatting, significantly reducing errors. This leverages the service's supervised learning capability to improve accuracy for domain-specific documents.

Answer

Use a different prebuilt model.

Answer

Disable the OCR step.

Answer

Increase the confidence threshold.

Question 3

A news organization uses Azure Video Indexer to generate transcripts of live broadcasts. They notice that the speaker names are not appearing in the transcript. What is the most likely cause?

Accepted Answer

The speaker identification model has not been trained with voice samples.. Speaker names are missing because Azure Video Indexer's speaker identification feature requires pre-trained voice samples to match speakers to their identities. Without a custom voice model trained on known speakers' audio, the service can only label speakers as 'Speaker #1', 'Speaker #2', etc., but cannot assign actual names. This is a supervised learning process where the model must be trained with labeled voice samples before it can recognize and name speakers.

Answer

The video resolution is too low for OCR.

Answer

The video format is not supported.

Answer

The language is not set correctly.

Question 4

A retail company uses Azure Computer Vision to analyze in-store camera feeds. They recently added a new product line and updated the object detection model. However, the model fails to detect the new products. What should the company do first?

Accepted Answer

Retrain the custom object detection model with images of the new products.. The model fails to detect new products because it was never trained on them. Retraining the custom object detection model with labeled images of the new products is the correct first step, as it updates the model's knowledge to recognize the new product line. Pre-built models or threshold adjustments cannot add new object classes.

Answer

Use the pre-built 'products' model from Computer Vision.

Answer

Increase the confidence threshold in the API call.

Answer

Recreate the Computer Vision resource in a different region.

Question 5

Which TWO Azure services can be used to detect and redact PII from images containing text? (Choose two.)

Accepted Answer

Azure AI Content Safety.. Azure AI Content Safety can detect and redact PII from images containing text by analyzing the extracted text for sensitive information such as personal identifiers and applying redaction. Azure Computer Vision (OCR) provides the underlying text extraction capability, and when combined with Content Safety's PII detection, enables end-to-end redaction of PII from images.

Answer

Azure Form Recognizer.

Answer

Azure Video Analyzer for Media.

Answer

Azure Cognitive Search.

Question 6

A security company uses Azure Video Analyzer on IoT Edge to detect intrusions. The edge device has limited compute and network. They need to reduce latency. What should they configure?

Accepted Answer

Set a high minimum confidence threshold for detection.. Option B is correct because setting a high minimum confidence threshold for detection reduces the number of false positives and the volume of events that need to be processed and transmitted. This directly lowers the computational load on the edge device and reduces network bandwidth usage, thereby decreasing latency for actionable intrusion alerts.

Answer

Increase the video resolution sent to the cloud.

Answer

Enable cloud-based processing for all frames.

Answer

Use multiple AI models simultaneously.

Question 7

A company uses Azure Face API to detect faces in a crowd. They need to comply with GDPR and delete face data after 30 days. What should they implement?

Accepted Answer

Use the Face API Delete operation to remove stored face IDs.. Option C is correct because the Azure Face API stores face data (e.g., face IDs) in a PersonGroup or FaceList, and GDPR compliance requires the ability to delete personal data on demand. The Face API provides a dedicated Delete operation (e.g., FaceList - Delete Face or PersonGroup Person - Delete) to remove stored face IDs and associated face data, enabling the 30-day deletion requirement without recreating the resource.

Answer

Enable data encryption at rest.

Answer

Set a retention policy on the Face API resource.

Answer

Recreate the Face API resource every 30 days.

Question 8

A company wants to deploy an agent using Azure Bot Service that integrates with Microsoft Teams. Which THREE steps should the team take?

Accepted Answer

Use the Bot Framework SDK to build the bot with Teams-specific features.. Option A is correct because the Bot Framework SDK provides the necessary APIs and tools to build bots that can leverage Teams-specific features such as adaptive cards, messaging extensions, and task modules. Without the SDK, you cannot implement the channel-specific logic required for Teams integration.

Answer

Deploy the bot code to an Azure Function.

Answer

Write the bot in C# using Azure SDK for .NET.

Question 9

A company wants to use Azure AI Translator to translate customer emails from English to French. They need to ensure that the translation preserves the tone and formality of the original text. What should they configure in the request?

Accepted Answer

Set the 'formality' parameter to the desired level (e.g., 'formal' or 'informal').. Option C is correct because Azure AI Translator provides a 'formality' parameter that allows you to specify the desired level of formality (e.g., 'formal' or 'informal') in the translated text. This parameter directly controls the tone and register of the output, ensuring that the translation preserves the original email's tone and formality, which is critical for customer communications.

Answer

Set the 'category' parameter to 'general' to use a standard translation model.

Answer

Set the 'scope' parameter to 'document' to ensure context-aware translation.

Answer

Set the 'language' parameter to 'fr' and the 'from' parameter to 'en'.

Question 10

A financial services company is building an agent that uses Azure OpenAI to generate investment advice. The agent must be monitored for toxicity and bias. Which combination of services should the team use to implement content safety monitoring?

Accepted Answer

Azure AI Content Safety and Azure OpenAI content filtering.. Azure AI Content Safety provides built-in models for detecting harmful content such as hate speech, self-harm, and sexual content, while Azure OpenAI content filtering applies configurable severity-level filters (e.g., low, medium, high) to model inputs and outputs. Together, they enable real-time monitoring of toxicity and bias in generated investment advice, meeting compliance requirements for financial services.

Answer

Azure Cognitive Search and Azure AI Language.

Answer

Azure Bot Service and Azure Logic Apps.

Answer

Azure Machine Learning and Azure Functions.