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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement information extraction and knowledge mining | 10–15% | - Extract structured data from documents
|
| Topic 2: Plan and manage Azure AI solutions | 25–30% | - Manage AI solution development lifecycle
|
| Topic 3: Implement generative AI and agentic solutions | 30–35% | - Design and implement intelligent agents
|
| Topic 4: Implement computer vision solutions | 10–15% | - Implement image analysis and processing
|
| Topic 5: Implement text and speech analysis solutions | 10–15% | - Implement speech capabilities
|
Question 1
A team wants to deploy a model from the Foundry catalogue with the fastest possible setup, pay only for the tokens they consume, and avoid provisioning any virtual machine (VM) quota. Which deployment option fits?
A. Self-hosted deployment on Azure Kubernetes Service
B. Managed compute (managed endpoint) deployment
C. A local container running on a developer workstation
D. Serverless API deployment, also called models as a service (MaaS)
Question 2
You are creating an image-editing workflow in a Microsoft Foundry project.
The workflow must meet the following requirements:
- Ensure that background objects can be removed by applying a mask-
based inpainting edit.
- Preserve the original lighting and style of the edited images.
- Use the built-in image editing controls, NOT a custom model.
You need to ensure that image edits apply exclusively inside the masked area.
How should you configure the workflow?
A. Enable image_to_image mode and a high-strength value to regenerate the full image based on the prompt.
B. Enable mask_inpainting and supply both the input image and a mask indicating which part of the image to modify.
C. Enable text_to_image mode and a prompt describing the desired background removal.
D. Set generation mode to image_variation and provide the original image as a reference.
Question 3
You are building a chatbot.
You need to ensure that the chatbot can classify user input into separate categories. The categories must be dynamic and defined at the time of inference.
Which service should you use to classify the input?
A. Azure OpenAI text summarization
B. Azure OpenAI text classification
C. Azure AI Language custom named entity recognition (NER)
D. Azure AI Language custom text classification
Question 4
You build a chatbot that uses the Azure OpenAI GPT-4 model to generate song lyrics.
You need to ensure that responses do NOT contain lyrics from popular songs that might have been ingested during model training.
Which Azure AI Content Safety API should you use?
A. Protected material text detection
B. Custom categories
C. Groundedness detection
D. Analyze Text
Question 5
You are building an image sharing app that will use Azure AI to prevent users from sharing sexually explicit images.
You need to ensure that inappropriate images are identified correctly. The solution must minimize development effort.
What should you use?
A. Azure AI Content Safety Studio
B. Vision Studio in Azure AI Vision
C. Azure AI Studio
D. Visual Studio
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: A |
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