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Microsoft AI-102 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q221-Q226):

NEW QUESTION # 221
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value 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.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar


NEW QUESTION # 222
You have an Azure subscription that contains an Azure Al Document Intelligence resource named DM.
You build an app named App1 that analyzes PDF files for handwritten content by using DM.
You need to ensure that App1 will recognize the handwritten content.
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 # 223
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 224
You are building a Conversational Language Understanding model.
You need to ensure that the model will support the following sample utterances:
* Set all the lights to on.
* Turn off the lights in the living room.
* What is the current thermostat temperature?
* Lower the temperature of the thermostat by five degrees.
Which three elements should you add to the model?
Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Answer: C,D,F


NEW QUESTION # 225
You are planning the product creation project.
You need to build the REST endpoint to create the multilingual product descriptions.
How should you complete the URI? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate


NEW QUESTION # 226
......

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