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  4. Microsoft.AI-100.v2026-07-27.q119 Dumps
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Question 111

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, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are deploying an Azure Machine Learning model to an Azure Kubernetes Service (AKS) container.
You need to monitor the accuracy of each run of the model.
Solution: You configure Azure Application Insights.
Does this meet the goal?

Correct Answer: A
References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-data-collection
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-app-insights
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Question 112

Your company plans to build an app that will perform the following tasks:
* Match a user's picture to a picture of a celebrity.
* Tag a scene from a movie, and then search for movie scenes by using the tags.
You need to recommend which Azure Cognitive Services APIs must be used to perform the tasks.
Which Cognitive Services API should you recommend for each task? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:
Explanation

Box 1: Computer Vision
Azure's Computer Vision service provides developers with access to advanced algorithms that process images and return information.
Computer Vision Detect Faces: Detect faces in an image and provide information about each detected face.
Computer Vision returns the coordinates, rectangle, gender, and age for each detected face.
Computer Vision provides a subset of the Face service functionality. You can use the Face service for more detailed analysis, such as facial identification and pose detection.
Box 2: Bing Video Search
Search for videos and get comprehensive results
With Bing Video Search API v7, find videos across the web. Results provide useful metadata including creator, encoding format, video length, view count, improved & simplified paging, and more.
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Question 113

Your company plans to deploy several apps that will use Azure Cognitive Services APIs.
You need to recommend which Cognitive Services APIs must be used to meet the following requirements:
* Must be able to identify inappropriate text and profanities in multiple languages.
* Must be able to interpret user requests sent by using text input.
* Must be able to identify named entities in text.
Which API should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Box 1: Content Moderator
The Azure Content Moderator API is a cognitive service that checks text, image, and video content for material that is potentially offensive, risky, or otherwise undesirable. When such material is found, the service applies appropriate labels (flags) to the content. Your app can then handle flagged content in order to comply with regulations or maintain the intended environment for users.
Box 2: Language Understanding (LUIS)
Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot.
Box 3: Text Analytics
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
References:
https://docs.microsoft.com/bs-latn-ba/azure/cognitive-services/content-moderator/overview
https://www.luis.ai/home
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/
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Question 114

You plan to create a bot that will support five languages. The bot will be used by users located in three different countries. The bot will answer common customer questions. The bot will use Language Understanding (LUIS) to identify which skill to use and to detect the language of the customer.
You need to identify the minimum number of Azure resources that must be created for the planned bot.
How many QnA Maker, LUIS and Language Detection instances should you create? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

QnA Maker: 5
If the user plans to support multiple languages, they need to have a new QnA Maker resource for each language.
LUIS: 5
If you need a multi-language LUIS client application such as a chatbot, you have a few options. If LUIS supports all the languages, you develop a LUIS app for each language. Each LUIS app has a unique app ID, and endpoint log. If you need to provide language understanding for a language LUIS does not support, you can use Microsoft Translator API to translate the utterance into a supported language, submit the utterance to the LUIS endpoint, and receive the resulting scores.
Language detection: 1
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. You can parse the results of this analysis to determine which language is used in the input document. The response also returns a score that reflects the confidence of the model. The score value is between 0 and 1.
The Language Detection feature can detect a wide range of languages, variants, dialects, and some regional or cultural languages. The exact list of languages for this feature isn't published.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language
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Question 115

You develop a custom application that uses a token to connect to Azure Cognitive Services resources.
A new security policy requires that all access keys are changed every 30 days.
You need to recommend a solution to implement the security policy.
Which three actions should you recommend be performed every 30 days? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Correct Answer:

Explanation

Step 1: Generate new keys in the Cognitive Service resources

Step 2: Retrieve a token from the Cognitive Services endpoint
Step 3: Update the custom application to use the new authorization
Each request to an Azure Cognitive Service must include an authentication header. This header passes along a subscription key or access token, which is used to validate your subscription for a service or group of services.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/authentication
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