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Another important objective of the Microsoft AI-102 Exam is to test candidates' knowledge of natural language processing (NLP) and computer vision. This includes understanding how to build custom models for tasks such as sentiment analysis, language translation, and image recognition. Candidates will also be tested on their ability to deploy these models using Azure Cognitive Services.

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To be eligible for this certification exam, candidates should have a strong foundation in Azure and experience in developing, managing, and deploying AI solutions. They should also be familiar with various AI technologies, including natural language processing, computer vision, and speech recognition. AI-102 exam covers a wide range of topics, including designing and implementing AI solutions using Azure Cognitive Services, creating and managing bots using Azure Bot Service, and building intelligent applications using Azure Machine Learning. AI-102 Exam also assesses the candidate's ability to monitor and optimize AI solutions, as well as their knowledge of ethical and responsible AI practices. Overall, the Microsoft AI-102 Certification Exam is a challenging and comprehensive exam that requires a deep understanding of Azure AI technologies and their practical applications.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q253-Q258):

NEW QUESTION # 253
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all.
You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Detect the incoming language:
* Service: Speech to Text
* Reasoning: The Speech to Text service can transcribe spoken language into text and includes language identification capabilities, allowing the system to detect whether the caller is speaking French or English.
* Respond in the callers' own language:
* Service: Text to Speech
* Reasoning: The Text to Speech service can convert text responses into spoken language in the detected language (French or English), enabling the system to respond to callers in their own language.
* Detect the incoming language: Speech to Text
* Respond in the callers' own language: Text to Speech
Ordered Mapping:
Box 1: Text Analytics
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.
Box 2: Translator
Translator is a cloud-based neural machine translation service that is part of the Azure Cognitive Services family of REST APIs. Translator can be used with any operating system and powers many Microsoft products and services used by thousands of businesses worldwide to perform language translation and other language- related operations.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- language-detection
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview


NEW QUESTION # 254
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 # 255
You have an Azure Cognitive Services model named Model that identifies the intent of text input.
You develop an app in C# named App1.
You need to configure App1 to use Model1.
Which package should you add to App1?

Answer: D


NEW QUESTION # 256
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.

Answer:

Explanation:

Explanation:

To build narration for video training content using Custom Neural Voice, we must know where each step is done:
* Creating a Custom Neural Voice
* A Custom Neural Voice is a text-to-speech (TTS) feature within Azure AI Speech.
* It allows you to create a unique, natural-sounding synthetic voice.
* The correct tool to build and configure a custom voice is the Speech Studio portal.
* Not the Language Understanding portal (LUIS), Azure portal directly, or Bot Framework Composer.
* Generating narration
* Narration requires converting written text into speech.
* This is done via the Text-to-Speech service in Azure AI Speech.
* Other options:
* Language Understanding # For intent/utterance processing, not narration.
* Speaker Recognition # For identifying/authenticating speakers, not narration.
* Speech-to-text # Converts spoken words to text (the opposite direction).
Thus:
* Custom Neural Voice # Speech Studio portal
* Narration # Text-to-speech
Correct Answers:
* Custom neural voice: The Speech Studio portal
* Narration: Text-to-speech
* Custom Neural Voice in Speech Studio
* Text-to-Speech overview
Microsoft References


NEW QUESTION # 257
You have a text-based chatbot.
You need to enable content moderation by using the Text Moderation API of Content Moderator. Which two service responses should you use? Each correct answer presents part of the solution NOTE: Each correct selection is worth one point.

Answer: B,E


NEW QUESTION # 258
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