Title: Best way to practice test for Microsoft AI-102? [Print This Page] Author: leoston538 Time: yesterday 14:23 Title: Best way to practice test for Microsoft AI-102? BTW, DOWNLOAD part of PassTorrent AI-102 dumps from Cloud Storage: https://drive.google.com/open?id=1rsKRwGHgqeqooN7u5ObDns3d_ZL8Msku
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The Designing and Implementing a Microsoft Azure AI Solution certification exam covers various topics related to designing and implementing AI solutions using Azure services, including natural language processing, computer vision, speech recognition, and machine learning. AI-102 Exam also covers topics related to data preparation, data wrangling, and data analysis, which are essential skills for designing and implementing AI solutions. Candidates are expected to have a good understanding of Azure services, including Azure Cognitive Services, Azure Machine Learning, and Azure Databricks. Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q364-Q369):NEW QUESTION # 364
You are developing a streaming Speech to Text solution that will use the Speech SDK and MP3 encoding.
You need to develop a method to convert speech to text for streaming MP3 data.
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:
Reference: https://docs.microsoft.com/en-us ... compressed-audio-in
NEW QUESTION # 365
You have a mobile app that manages printed forms.
You need the app to send images of the forms directly to Forms Recognizer to extract relevant information.
For compliance reasons, the image files must not be stored in the cloud.
In which format should you send the images to the Form Recognizer API endpoint?
A. form URL encoded
B. JSON
C. raw image binary
Answer: C
Explanation:
The requirement is to process images of forms with Azure Form Recognizer (now part of Azure AI Document Intelligence) while ensuring that the image files are not stored in the cloud.
When sending images directly to the Form Recognizer REST API endpoint, you have two options:
* Send the file as binary data in the request body (for local file upload).
* Send a URL reference (if the file is stored in Azure Blob Storage or another public location).
Since the requirement explicitly states that the image files must not be stored in the cloud, you cannot send a URL. Instead, you must send the raw binary content of the file directly in the request body.
* Option A - raw image binary
* Correct. This allows you to directly send the local image file to the API without uploading/storing it in the cloud.
* Option B - form URL encoded
* Incorrect. Form Recognizer does not accept URL-encoded form data.
* Option C - JSON
* Incorrect. JSON is only used when providing the API with the URL of a cloud-stored document, not when sending the actual file.
The answer: A. raw image binary
* Form Recognizer REST API - Analyze a document
* Quickstart: Extract layout and text - Document Intelligence"If your document is available locally, pass the file as binary data in the request body."
NEW QUESTION # 366
You are building a chatbot by using the Microsoft Bot Framework Composer.
You have the dialog design shown in the following exhibit.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point. Answer:
Explanation:
Explanation:
Dialog RecapThe Bot Framework Composer dialog shown:
* Bot asks: "What is your name?"
* User input stored in user.name.
* Property is user.name with a value expression: =coalesce(@user.Name, @personName)
* Bot asks: "Hello ${user.name}, how old are you?"
* User input stored in user.age.
* user.name is an entity.
* No.
* user.name here is not an entity. It is a property in the bot's memory (user state).
* Entities come from LUIS/CLU recognition, while this is a variable property.
* The dialog asks for a user name and a user age and assigns appropriate values to the user.name and user.
age properties.
* Yes.
* The dialog explicitly prompts for a text input (name) and a number input (age) and assigns them to user.name and user.age.
* The chatbot attempts to take the first non-null entity value for userName or personName and assigns the value to user.name.
* Yes.
* The expression =coalesce(@user.Name, @personName) ensures that if @user.Name exists, it's used; otherwise, it tries @personName. This is exactly first-non-null entity resolution.
Statement Analysis
* user.name is an entity. # No
* The dialog asks for a user name and a user age and assigns appropriate values to the user.name and user.
age properties. # Yes
* The chatbot attempts to take the first non-null entity value for userName or personName and assigns the value to user.name. # Yes Final Answer
* Bot Framework Composer - Memory and Properties
* Expressions and coalesce function
Reference: https://docs.microsoft.com/en-us ... language-generation
NEW QUESTION # 367
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:
NEW QUESTION # 368
You develop an application that uses the Face API.
You need to add multiple images to a person group.
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:
Box 1: Stream
The File.OpenRead(String) method opens an existing file for reading.
Example: Open the stream and read it back.
using (FileStream fs = File.OpenRead(path))
Box 2: CreateAsync
Create the persons for the PersonGroup. Persons are created concurrently.
Example:
await faceClient.PersonGroupPerson.CreateAsync(personGroupId, personName); Reference: https://docs.microsoft.com/en-us ... cs/how-to-add-faces
NEW QUESTION # 369
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