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For more info read reference:
microsoft learning site AI-102 Skills measured Publish a Machine Learning Experiment with Microsoft Azure Machine Learning Studio Process and translate speech with Azure Cognitive Speech Services
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Plan and Manage an Azure AI Solution | - Manage security, compliance, and responsible AI - Select appropriate Azure AI services - Plan solution requirements and architecture |
| Topic 2: Implement Computer Vision Solutions | - Analyze images and videos using Azure AI Vision - Extract information using OCR and form recognition - Implement custom vision models |
| Topic 3: Implement Knowledge Mining and Document Intelligence | - Build Azure AI Search solutions - Implement document intelligence solutions - Enrich and index data for search scenarios |
| Topic 4: Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques |
| Topic 5: Implement Natural Language Processing Solutions | - Analyze text using Azure AI Language - Implement question answering and conversational AI - Translate and interpret language using Azure AI services |
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Comprehensive Detailed Explanation along with All References available from Microsoft Azure AI Solution at the end of the explanation Typing: In a .chat transcript, you can simulate the bot's typing indicator with the Typing activity, optionally followed by a [Delay=...] . This matches the intent to pause before sending the next message.
AttachmentLayout=carousel: When sending multiple attachments (the two watch images), set the layout to carousel so the Emulator displays the attachments horizontally as a card carousel.
Adaptive Card attachment: The JSON file cards\watchProfileCard.json represents an Adaptive Card; specify adaptivecard so the Emulator renders the card.
Resulting .chat snippet (essentials):
user =User1
bot=watchbot
user : I want a new watch.
bot: [Typing][Delay= 3000 ]
bot: I can help you with that! Let me see what I can find.
bot: Her e ' s what I found.
bot:
[AttachmentLayout=carousel]
[Attachment=https://contoso.blob.core.windows.net/watch01.jpg]
[Attachment=https://contoso.blob.core.windows.net/watch02.jpg]
user: I like the first one.
bot: Sure, pulling up more information.
bot: [Attachment=cards\watchProfileCard.json adaptivecard]
user: That ' s nice! Thank you.
bot: Sure, you are most welcome!
References
Bot Framework Emulator transcript ( .chat ) activities and typing indicator: Bot Framework Activity schema; Emulator supports typing and delay in transcripts.
https://learn.microsoft.com/azure/bot-service/bot-service-debug-emulator
https://learn.microsoft.com/azure/bot-service/rest-api/bot-framework-rest-connector-api-reference#activity-object Attachment layout ( carousel / list ) for multiple attachments:
https://learn.microsoft.com/azure/bot-service/nodejs/bot-builder-nodejs-send-rich-cards#carousel-layout Adaptive Cards in Bot Framework:
https://learn.microsoft.com/adaptive-cards/get-started/bots
https://learn.microsoft.com/azure/bot-service/bot-builder-howto-add-media-attachments#adaptive-cards
Select the answer that correctly completes the sentence.
Correct Answer:

Explanation:
The statement is:
" In an infrastructure as a service (IaaS) instance of Microsoft SQL Server on Azure, you manage the ______ that hosts SQL Server. " Options:
Elastic pool # A PaaS concept in Azure SQL Database (used to share resources across multiple databases).
Not IaaS.
MySQL server # Refers to Azure Database for MySQL (PaaS). Not related to SQL Server on IaaS.
PostgreSQL server # Refers to Azure Database for PostgreSQL (PaaS). Not related to SQL Server on IaaS.
Virtual machine # In IaaS, SQL Server is installed on an Azure VM. You manage the VM (OS, patches, SQL installation, backups, etc.). # Thus, for IaaS, you are responsible for managing the virtual machine that hosts SQL Server.
The answer: virtual machine
Microsoft References
SQL Server on Azure Virtual Machines overview
Compare Azure SQL Database (PaaS) vs SQL Server on VMs (IaaS)
You ace building an internet-based training solution. The solution requires that a user ' s camera and microphone remain enabled.
You need to monitor a video stream ol the user and detect when the user asks an instructor a question. The solution must minimize development effort.
What should you include in the solution?
- A. speech-to-text in the Azure Al Speech service
- B. object detection in Azure Al Custom Vision
- C. language detection in Azure Al Language Service
- D. the Face service in Azure Al Vision
Correct Answer: A 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to [[email protected]] You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type 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.
Correct Answer:

Explanation:
Box 1: GeographyV2
The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the application intents.
Box 2: Email
Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from an utterance.
Because this entity is already trained, you do not need to add example utterances containing email to the application intents.
Box 3: Machine learned
The machine-learning entity is the preferred entity for building LUIS applications.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity
You have an Azure subscription.
You plan to build an app that will use the Azure Al DALL-E model.
You need to deploy the model.
What should you use?
- A. the Azure SDK for Python and PowerShell cmdlets
- B. Azure OpenAI Studio and Azure Command-Line Interface (CLI)
- C. the Azure SDK for JavaScript and Azure Machine Learning Studio
- D. the Azure portal and Microsoft Graph API
Correct Answer: B 🗳️
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