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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q312-Q317):

NEW QUESTION # 312
You have a Custom Vision service project that performs object detection. The project uses the General domain for classification and contains a trained model.
You need to export the model for use on a network that is disconnected from the internet.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list o' actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation

NEW QUESTION # 313
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Doc1.pdf that contains a product catalogue and a price list You upload Doc1.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of
<product>?
The chatbot fails to respond to the following question: How much does < product > cost?
You need to ensure that the chatbot responds correctly to both questions.
Solution: From Language Studio, you add alternative phrasing to the question and answer pair, and then retrain and republish the model.
Does this meet the goal?

A. No
B. Yes

Answer: B

Explanation:
In Question Answering (Custom question answering in Azure AI Language), you improve coverage for different user phrasings by adding alternative questions to the same answer. For example, adding "How much does <product> cost?" as an alternate question to the existing Q/A about "What is the price of <product>?" enables the service to match both user queries to the same answer. After adding alternates, you must retrain and republish the project for changes to take effect. This directly addresses the gap and meets the goal.
References
* Add and manage alternative questions in custom question answering; retrain/republish for updates.
https://learn.microsoft.com/azure/ai-services/language-service/question-answering/how-to/contribute-to- project
* Custom question answering concepts and authoring workflow.https://learn.microsoft.com/azure/ai- services/language-service/question-answering/overview

NEW QUESTION # 314
You are building an app by using the Semantic Kernel.
You need to include complex objects in the prompt templates of the app. The solution must support objects that contain sub-properties.
Which two prompt templates can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Liquid
B. YAML
C. Semantic Kernel
D. Handlebars
E. JSONL

Answer: A,D

Explanation:
Semantic Kernel supports multiple prompt template languages. Handlebars and Liquid both allow you to bind complex objects (with nested/sub-properties), iterate over collections, and use conditionals-ideal when your prompt needs structured data.
* JSONL is a dataset/record format, not a prompt templating language.
* YAML is a configuration/serialization format; while SK can store configs in YAML, YAML itself isn't a prompt templating engine for rendering nested objects in prompts.
* "Semantic Kernel" as an option is not a template language; SK provides the runtime and also a simple legacy template syntax, but for complex/nested objects Microsoft recommends Handlebars (cross- language) or Liquid (.NET).
References (Microsoft Docs):
* Handlebars prompt templates in Semantic Kernel (supports SK prompts, expressions, iteration, object binding). Microsoft Learn
* Liquid prompt templates in Semantic Kernel (example shows passing objects and iterating over nested data). Microsoft Learn
* SK prompt template syntax overview (context on SK templating options). Microsoft Learn

NEW QUESTION # 315
You have an Azure Cognitive Search resource named Search 1 that is used by multiple apps You need to secure Search 1. The solution must meet the following requirements:
* Prevent access to Search1 from the internet.
* Limit the access of each app to specific queries
What should you do? To answer, select the appropriate options in the answer area NOTE Each correct answer is worth one point.

Answer:

Explanation:

Explanation

NEW QUESTION # 316
You have an Azure subscription that contains a multi-service Azure Cognitive Services Translator resource named Translator1.
You are building an app that will translate text and documents by using Translator1.
You need to create the REST API request for the app.
Which headers should you include in the request?

A. the access control request, the content type, and the content length
B. the resource ID and the content language
C. the subscription key, the subscription region, and the content type
D. the subscription key and the client trace ID

Answer: C

Explanation:
When using Azure Translator REST API, required headers are:
* Ocp-Apim-Subscription-Key # subscription key
* Ocp-Apim-Subscription-Region # resource region (if using a multi-service Cognitive Services resource)
* Content-Type # typically application/json or application/xml
Other options:
* Client trace ID is optional for debugging.
* Resource ID, access control request, content language, content length are not required headers.
The answer: B
Reference: Azure Translator API reference

NEW QUESTION # 317
......

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