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Microsoft AI-102 Exam Syllabus Topics:

SectionWeightObjectives
Implement natural language processing solutions15-20%- Customize and deploy NLP models
- Perform text analysis, sentiment detection, and language detection
- Implement translation and summarization
- Build conversational AI and chatbots
Implement knowledge mining and information extraction solutions15-20%- Implement intelligent search and retrieval
- Extract entities, relationships, and key phrases
- Build knowledge bases and search indexes
- Ingest and process structured/unstructured data
Plan and manage an Azure AI solution20-25%- Select suitable AI models
- Plan solutions aligned with responsible AI principles
- Select appropriate Microsoft Foundry Services
- Monitor, optimize, and secure AI solutions
- Create and configure Azure AI resources
- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
Implement an agentic solution5-10%- Test, deploy, and optimize agents
- Build agents with Microsoft Foundry Agent Service
- Develop multi-agent workflows and orchestration
- Understand agent use cases and types
Implement computer vision solutions10-15%- Build and deploy custom vision models
- Analyze images and detect objects/features
- Extract text and handwriting from images
- Integrate vision capabilities into applications
- Process and index video content
Implement generative AI solutions15-20%- Implement model monitoring and feedback
- Orchestrate multiple models and containers
- Integrate Azure OpenAI and other generative models
- Apply prompt engineering and fine-tuning
- Deploy and manage generative models

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q171-Q176):

NEW QUESTION # 171
You have a Microsoft OneDrive folder that contains a 20-GB video file named File1.avi.
You need to index File1.avi by using the Azure Video Indexer website.
What should you do?

Answer: D


NEW QUESTION # 172
SIMULATION
Use the following login credentials as needed:
- To enter your username, place your cursor in the Sign in box and click on the username below.
- To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username: admin@abc.com
Azure Password: XXXXXXXXXXXX
The following information is for technical support purposes only:
- Lab Instance: 12345678
Task
You need to ensure that a user named admin@abc.com can regenerate the subscription keys of AAA12345678. The solution must use the principle of least privilege.
To complete this task, sign in to the Azure portal.

Answer:

Explanation:
Manually rotate subscription keys
1. (Update your application code to reference the secondary key for the Azure account and deploy.)
2. In the Azure portal, navigate to your Azure account.
3. Under Settings, select Authentication.
4. To regenerate the primary key for your Azure account, select the Regenerate button next to the primary key.
5. (Update your application code to reference the new primary key and deploy.)
6. Regenerate the secondary key in the same manner.
Reference:
https://github.com/MicrosoftDocs/azure-docs/blob/main/articles/azure-maps/how-to-manage- authentication.md


NEW QUESTION # 173
You have an Azure subscription that contains an Azure Al Search instance named AlSearch1. AlSearch1 contains an index that includes a vector.
You need to perform the following actions:
* Deploy a new agent by using the Azure Al Agent Service.
* Connect the AlSearch1 index to the new agent.
* Validate the integration of the index and the agent.
Which four 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:

To deploy an agent and connect it to an existing Azure AI Search index (which already contains vectors), you first need the connection ID for the search resource. Using the Azure AI Projects/Agents client, you obtain that connection ID from your project's connections. Next, you configure the Azure AI Search tool by specifying the index_connection_id , index_name , and (optionally) the query type (simple, semantic, vector, or hybrid), which supports vectorized indexes. After the tool is configured, you create the agent with the tool enabled (passing tools and tool_resources ). Finally, you validate the integration by starting a thread and asking questions grounded in the Azure AI Search index. This sequence matches the Microsoft guidance and minimizes effort because it reuses the existing index and only adds a configured tool to a new agent.
Microsoft References
* Use an existing index with the Azure AI Search tool (sequence: create client # configure tool # create agent with tool # ask questions). Microsoft Learn
* Azure AI Search tool overview (add the tool to an agent; supported search types including vector and hybrid). Microsoft Learn
* AzureAISearchTool and AzureAISearchQueryType (parameters, including connection ID and query types: simple, semantic, vector, hybrid).
* Vector and hybrid search in Azure AI Search (background for vector-enabled indexes and hybrid queries).


NEW QUESTION # 174
You are designing a conversational interface for an app that will be used to make vacation requests. The interface must gather the following data:
- The start date of a vacation
- The end date of a vacation
- The amount of required paid time off
The solution must minimize dialog complexity.
Which type of dialog should you use?

Answer: A

Explanation:
Waterfall dialog is used to manage linear and more complex conversation flows.
https://learn.microsoft.com/en-us/azure/bot-service/bot-builder-dialog-manage-conversation- flow?view=azure-bot-service-4.0&tabs=csharp Component dialog is used to create independent dialogs to handle specific scenarios, breaking a large dialog set into more manageable pieces.
https://learn.microsoft.com/en-us/azure/bot-service/bot-builder-compositcontrol?view=azure-bot- service-4.0&tabs=csharp


NEW QUESTION # 175
You successfully run the following HTTP request.
POST https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-a54745f708a1/resourceGroups
/RG1/providers/Microsoft.CognitiveServices/accounts/contosol/regenerateKey?api-version=2017-04-18 Body{"keyName": "Key2"} What is the result of the request?

Answer: D

Explanation:
The HTTP request provided is:
POST https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-a54745f708a1/resourceGroups
/RG1/providers/Microsoft.CognitiveServices/accounts/contosol/regenerateKey?api-version=2017-04-18 Body {"keyName": "Key2"}
* The request is made against the Azure Cognitive Services Management API (Microsoft.
CognitiveServices/accounts/.../regenerateKey).
* The regenerateKey operation is specifically designed to regenerate one of the two subscription keys used to authenticate Cognitive Services API calls.
* Cognitive Services resources always have two keys: Key1 (primary) and Key2 (secondary).
* This design allows key rotation without downtime: you can regenerate one key while using the other in production.
Key Observations:Body Payload:{"keyName": "Key2"}
* This explicitly tells Azure to regenerate Key2 (the secondary subscription key).
* After the call, the secondary subscription key value changes, while Key1 (primary) remains unaffected.
* A. A key for Azure Cognitive Services was generated in Azure Key Vault
* Incorrect. The operation is not integrated with Key Vault; it only regenerates Cognitive Services subscription keys.
* B. A new query key was generated
* Incorrect. Query keys are related to Azure Cognitive Search (not general Cognitive Services).
* The request clearly targets CognitiveServices/accounts.
* C. The primary subscription key and the secondary subscription key were rotated
* Incorrect. The request regenerates only the specified key, not both.
* D. The secondary subscription key was reset
* Correct. The payload specifies "Key2", so only the secondary subscription key is regenerated.
Option Analysis
D). The secondary subscription key was reset
* Azure REST API - Cognitive Services regenerate key
* Authenticate requests to Azure AI services with keys and endpoint
* Manage Cognitive Services keys (key1/key2)
Microsoft References


NEW QUESTION # 176
......

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