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Microsoft AI-102 Exam Syllabus Topics:

SectionObjectives
Implement Knowledge Mining and Document Intelligence- Implement document intelligence solutions
- Enrich and index data for search scenarios
- Build Azure AI Search solutions
Implement Natural Language Processing Solutions- Implement question answering and conversational AI
- Translate and interpret language using Azure AI services
- Analyze text using Azure AI Language
Plan and Manage an Azure AI Solution- Plan solution requirements and architecture
- Select appropriate Azure AI services
- Manage security, compliance, and responsible AI
Implement Generative AI Solutions- Build retrieval-augmented generation (RAG) solutions
- Integrate prompt engineering techniques
- Implement Azure OpenAI Service solutions
Implement Computer Vision Solutions- Extract information using OCR and form recognition
- Implement custom vision models
- Analyze images and videos using Azure AI Vision

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TestkingPass Designing and Implementing a Microsoft Azure AI Solution (AI-102) practice test material covers all the key topics and areas of knowledge necessary to master the Microsoft Certification Exam. Experienced industry professionals design the AI-102 exam questions and are regularly updated to reflect the latest changes in the Designing and Implementing a Microsoft Azure AI Solution (AI-102) exam. In addition, TestkingPass offers three different formats of practice material which are discussed below.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q242-Q247):

NEW QUESTION # 242
Hotspot Question
You have an Azure AI Speech service resource named Resource1.
You call Resource1 by running the following C# code.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth point.

Answer:

Explanation:

Explanation:
Box 1: No
Create an audioConfig using AudioConfig.FromWavFileOutput, based on which, create a synthesizer. Then call speak method many times with shorter sentences, the generated audio for multi speaks will be saved in a single audio file.
Box 2: No
File.wav is the output file.
Box 3: Yes
Reference:
https://learn.microsoft.com/en-
us/dotnet/api/microsoft.cognitiveservices.speech.audio.audioconfig.fromwavfileoutput
https://github.com/Azure-Samples/Cognitive-Speech-TTS/wiki/How-to-synthesize-a-large-file-into- audio-files


NEW QUESTION # 243
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 develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You add the new images, and then use the Smart Labeler tool.
Does this meet the goal?

Answer: B

Explanation:
Scenario Recap:
* Application: Flower species classification using Custom Vision .
* New images are received.
* Solution: Add the new images, and then use the Smart Labeler tool.
Analysis:
* The Smart Labeler tool in Custom Vision can help automatically generate suggested labels for newly uploaded images.
* This is a valid way to extend a classifier with new images.
* It doesn't complete the entire pipeline (you'd still retrain afterward), but using Smart Labeler does meet the goal of adding new species efficiently.


NEW QUESTION # 244
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 develop an application to identify species of flowers by training a Custom Vision model.
You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You add the new images and labels to the existing model. You retrain the model, and then publish the model.
Does this meet the goal?

Answer: B

Explanation:
The model needs to be extended and retrained.


NEW QUESTION # 245
You have a web app that uses Azure Cognitive Search.
When reviewing billing for the app, you discover much higher than expected charges. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
Which three 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
Graphical user interface, text Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/search/search-security-api-keys


NEW QUESTION # 246
You are building an agent by using the Azure Al Foundry Agent Service.
You need to ensure that the agent can access publicly accessible data that was released during the past 90 days.
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:


NEW QUESTION # 247
......

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