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To prepare for the AI-102 exam, candidates should have a thorough understanding of AI development principles and be familiar with Azure AI services. Microsoft offers several resources to help candidates prepare for the exam, including study guides, online courses, and practice exams. Candidates can also find study groups and forums online to help them prepare for the exam.
The AI-102 certification exam consists of multiple-choice questions and performance-based scenarios. Candidates are given a limited amount of time to complete the exam, and they must pass with a score of at least 700 out of 1000 points to earn the certification. AI-102 Exam can be taken online or in a testing center, and it is recommended that candidates prepare thoroughly by taking online courses, reading technical documentation, and practicing with sample questions.
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Microsoft AI-102 exam measures your ability to build and deploy AI models, integrate AI services into applications, and monitor and optimize AI solutions. AI-102 exam focuses on three key areas: designing AI solutions, implementing AI solutions, and monitoring and optimizing AI solutions. AI-102 Exam also covers various Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
NEW QUESTION # 141
You are developing a webpage that will use the Video Indexer service to display videos of internal company meetings.
You embed the Player widget and the Cognitive Insights widget into the page.
You need to configure the widgets to meet the following requirements:
Ensure that users can search for keywords.
Display the names and faces of people in the video.
Show captions in the video in English (United States).
How should you complete the URL for each widget? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Cognitive Insights Widget URL
https://www.videoindexer.ai/embed/insights/{accountId}/{videoId}/?widgets=people, keywords&controls=search Player Widget URL
https://www.videoindexer.ai/embed/player/{accountId}/{videoId}/?showcaptions=true&captions=en-US The requirements are:
* Ensure that users can search for keywords.
* In the Cognitive Insights Widget, the controls parameter can be set to search to allow keyword search.
* Display the names and faces of people in the video.
* The widgets parameter in the Cognitive Insights Widget determines which insights are shown.
* To show people and keywords, use people,keywords.
* Show captions in the video in English (United States).
* For the Player Widget, captions are controlled by two parameters:
* showcaptions=true enables captions.
* captions=en-US specifies the language.
* Cognitive Insights Widget
* widgets=people,keywords
* controls=search
* Player Widget
* showcaptions=true
* captions=en-US
* Embed Video Indexer widgets
* Video Indexer parameters and customization
NEW QUESTION # 142
You are building an Azure Cognitive Search custom skill.
You have the following custom skill schema definition.
For each of the following statements, select Yes if the statement. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping
NEW QUESTION # 143
You are building an app by using the Speech SDK. The app will translate speech from French to German by using natural language processing.
You need to define the source language and the output language.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 144
You run the following command.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
Explanation:
Box 1: Yes
http://localhost:5000/status
: Also requested with GET, this verifies if the api-key used to start the container is valid without causing an endpoint query.
Box 2: Yes
The command saves container and LUIS logs to output mount at C:\output, located on container host Box 3: Yes
http://localhost:5000/swagger
: The container provides a full set of documentation for the endpoints and a Try it out feature.
With this feature, you can enter your settings into a web-based HTML form and make the query without having to write any code.
After the query returns, an example CURL command is provided to demonstrate the HTTP headers and body format that's required.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
NEW QUESTION # 145
You have an app that uses Azure Al and a custom trained classifier to identity products in images. You need to add new products to the classifier. The solution must meet the following requirements:
* Minimize how long it takes to add the products
* Minimize development effort.
Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
To quickly add new product classes to an existing image classifier with minimal development effort, use the Custom Vision portal workflow. Vision Studio and Azure Machine Learning studio are not required for Custom Vision projects. The standard lifecycle to update a classifier is: open the project, add/upload images, label them with the correct tags, retrain to incorporate the new labels, and publish the updated iteration so the app can consume the new model via the Prediction endpoint.
Microsoft Azure AI Solution References
* Azure AI Services - Custom Vision : add images, tag, train, and publish iterations from the portal.
* Custom Vision documentation - Quickstart: Build a classifier in the Custom Vision website (steps:
create/open project, upload images, tag, train, publish).
NEW QUESTION # 146
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