PDF Version DemoThe benefit of obtaining the AI-102: Designing and Implementing an Azure AI Solution Exam Certification
- AI-102 certified candidates will be confident and stand different from others as their skills are more trained than non-certified professionals.
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- AI-102 Certification is distinguished among competitors. AI-102 certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
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- AI-102 credential delivers higher earning potential and increased promotion opportunities because it shows a good understanding of designing and implementing an Azure AI Solution
- AI-102 Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
- This certification credential will give you edge over other counterparts. Apart from knowledge from AI-102: Designing and Implementing an Azure AI Solution Exam.
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.
They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate
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Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement generative AI solutions | 15-20% | - Implement model monitoring and feedback - Deploy and manage generative models - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Apply prompt engineering and fine-tuning |
| Implement natural language processing solutions | 15-20% | - 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 solutions | 15-20% | - Ingest and process structured/unstructured data - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval |
| Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Process and index video content - Integrate vision capabilities into applications - Build and deploy custom vision models - Extract text and handwriting from images |
| Plan and manage an Azure AI solution | 20-25% | - Plan solutions aligned with responsible AI principles - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Select suitable AI models - Select appropriate Microsoft Foundry Services - Create and configure Azure AI resources - Monitor, optimize, and secure AI solutions |
| Implement an agentic solution | 5-10% | - Test, deploy, and optimize agents - Develop multi-agent workflows and orchestration - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types |
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
Question #1
You have a custom model named ModeM in the Azure Translator in Foundry Tools service.
You have training data that contains 900 parallel phrases and sentences and industry-specific terminology.
You need to use the training data to train Model to translate between English and French.
You sign in to the Custom Translator portal.
Which four actions should you perform in sequence from the portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Question #2
You are building an agent by using custom question answering in the Azure Language in Foundry Tools service. You upload a product catalog and price list and train the model.
The agent responds correctly when a user asks the following question: " What is the price of Productl? " The agent responds incorrectly when a user asks the following question: " Which colors of Product1 are available? " You need to improve the accuracy of the agent. What should you do?
A. Add a new question and response pair.
B. Modify the system prompt.
C. Add alternative phrasing to the question and response pair.
D. Modify the original documents and retrain the model.
Question #3
You have an Azure Subscription that contains an Azure OpenAI resource named AI1 and a user named User1.
You need to ensure that User1 can add custom data sources to AI1. The solution must follow the principle of least privilege.
Which role should you assign to User1?
A. Search index Data Contributor
B. Cognitive Services Contributor
C. Cognitive Services OpenAI Contributor
D. Search Service Contributor
Question #4
You have a library that contains 1,000 video files.
You need to perform sentiment analysis on the videos by using an Azure Al Content Understanding project.
The solution must minimize development effort.
Which type of template should you use for the project?
A. Media asset management
B. Video shot analysis
C. Advertising
Question #5
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 are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Doc1.pdf that contains a product catalogue and a price list You upload Doc1.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of
< product > ?
The chatbot fails to respond to the following question: How much does < product > cost?
You need to ensure that the chatbot responds correctly to both questions.
Solution: From Language Studio, you add alternative phrasing to the question and answer pair, and then retrain and republish the model.
Does this meet the goal?
A. Yes
B. No
Solutions:
| Question #1 Correct Answer: Only visible for members | Question #2 Correct Answer: A | Question #3 Correct Answer: C | Question #4 Correct Answer: A | Question #5 Correct Answer: A |
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