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Microsoft AI-102 Exam Syllabus Topics:

Section	Objectives
Topic 1: Implement Knowledge Mining and Document Intelligence	- Build Azure AI Search solutions - Enrich and index data for search scenarios - Implement document intelligence solutions
Topic 2: Plan and Manage an Azure AI Solution	- Manage security, compliance, and responsible AI - Plan solution requirements and architecture - Select appropriate Azure AI services
Topic 3: Implement Generative AI Solutions	- Integrate prompt engineering techniques - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions
Topic 4: Implement Computer Vision Solutions	- Implement custom vision models - Analyze images and videos using Azure AI Vision - Extract information using OCR and form recognition
Topic 5: Implement Natural Language Processing Solutions	- Analyze text using Azure AI Language - Translate and interpret language using Azure AI services - Implement question answering and conversational AI

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q381-Q386):

NEW QUESTION # 381
You have a chatbot.
You need to test the bot by using the Bot Framework Emulator. The solution must ensure that you are prompted for credentials when you sign in to the bot.
Which three settings should you configure? To answer, select the appropriate settings in the answer area.
NOTE Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 382
You have a Computer Vision resource named contoso1 that is hosted in the West US Azure region.
You need to use contoso1 to make a different size of a product photo by using the smart cropping feature.
How should you complete the API URL? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 383
You have a custom Azure OpenAI model.
You have the files shown in the following table.

You need to prepare training data for the model by using the OpenAI CLI data preparation tool. Which files can you upload to the tool?

A. File1.tsv and File4.xslx only
B. File1.tsv.File2.xml and File4.xslx only
C. File2.xml only
D. File4.xlsx only
E. Filel.tsv only
F. File3.pdf only
G. File1.tsv, File2.xml, Fil3.pdf and File4.xslx

Answer: E

Explanation:
You need to prepare training data for Azure OpenAI custom model fine-tuning using the OpenAI CLI data preparation tool .
Supported input formats: JSONL (primary).
CLI pre-processing accepted formats: TSV, CSV, JSON.
Not supported: PDF, XML, XLSX directly.
Checking files:
File1.tsv (80 MB) # Supported (CLI can convert TSV to JSONL).
File2.xml (25 MB) # Not supported (XML not accepted).
File3.pdf (50 MB) # Not supported.
File4.xlsx (200 MB) # Not supported directly.

NEW QUESTION # 384
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:

Reference:
https://docs.microsoft.com/en-us/composer/concept-language-generation
https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/coalescefunction

NEW QUESTION # 385
You are building a chatbot for a travel agent. The chatbot will use the Azure OpenAI GPT 3.5 model and will be used to make travel reservations.
You need to maximize the accuracy of the responses from the chatbot.
What should you do?

A. Configure the model to include data from the travel agent's database.
B. Set the Top P parameter for the model to 0.
C. Set the Temperature parameter for the model to 0.
D. Modify the system message used by the model to specify that the answers must be accurate.

Answer: D

NEW QUESTION # 386
......

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