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
Microsoft AI-102 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Certificate Validity Period: | 1 year (renewable annually via Microsoft certification renewal assessment) |
| Real Exam Qty: | 40-60 (approximate range) |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Exam Format: | Drag and drop, Case studies, Multiple response, Build/review solution scenarios, Multiple choice |
| Exam Price: | USD 165 (varies by country/region) |
| Passing Score: | 700 (out of 1000) |
| Exam Duration: | 100-120 |
| Available Languages: | English, French, Korean, Japanese, German, Spanish (Latin America), Simplified Chinese, Portuguese (Brazil) |
| Recommended Training: | Azure AI Engineer Associate Study Resources Microsoft Learn AI-102 Learning Path |
| Exam Registration: | Microsoft Certification Exam Registration (Pearson VUE) Microsoft Learn AI-102 Certification Page |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | Online proctored or onsite test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
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
Microsoft AI-102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement Computer Vision Solutions | - Implement custom vision models - Analyze images and videos using Azure AI Vision - Extract information using OCR and form recognition |
| Implement Generative AI Solutions | - Implement Azure OpenAI Service solutions - Build retrieval-augmented generation (RAG) solutions - Integrate prompt engineering techniques |
| Plan and Manage an Azure AI Solution | - Plan solution requirements and architecture - Manage security, compliance, and responsible AI - Select appropriate Azure AI services |
| Implement Knowledge Mining and Document Intelligence | - Build Azure AI Search solutions - Enrich and index data for search scenarios - Implement document intelligence solutions |
| Implement Natural Language Processing Solutions | - Translate and interpret language using Azure AI services - Analyze text using Azure AI Language - Implement question answering and conversational AI |
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
You create five bots by using Microsoft Bot Framework Composer.
You need to make a single bot available to users that combines the bots. The solution must support dynamic routing to the bots based on user input.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Create a composer extension.
- B. Enable WebSockets.
- C. Change the Recognizer/Dispatch type.
- D. Create a custom recognizer JSON file.
- E. Install the Orchestrator package.
- F. Create an Orchestrator model.
Correct Answer: C,E,F 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
You have a custom agent named Agent1.
You need to control access to and monitor activity for Agent1 by using Microsoft Foundry.
What should you do first?
- A. Add Agent1 to a Microsoft Foundry project.
- B. Provision an Application Insights resource.
- C. Add Agent1 to the Microsoft Foundry playground.
- D. Create a Microsoft Foundry project.
Correct Answer: D 🗳️
You are building an agent by using the Azure Al Foundry Agent Service.
You have the following code.

Correct Answer:

Explanation:
The agent will reason over the uploaded file.##
The code will create a run and check the output.##
The code will create an agent and enable a file search.##
The agent will reason over the uploaded file.
Yes : The code includes file = project_client.agents.upload_file_and_poll(file_path= " ./data/file1.zip " , purpose=FilePurpose.AGENTS). The upload_file_and_poll method with FilePurpose.AGENTS suggests that the file (file1.zip) is uploaded for the agent to process, and agents in the Azure AI Foundry Agent Service are typically designed to reason over uploaded data. This indicates the agent will reason over the uploaded file.
The code will create a run and check the output.
No : The provided code snippet does not include any explicit call to create a run (e.g., a method like create_run or start_run) or check the output (e.g., a method to retrieve or poll run results). The code only uploads a file and creates a vector store, but it does not initiate or monitor a run.
The code will create an agent and enable a file search.
No : The code does not contain a method to create an agent (e.g., create_agent) or explicitly enable a file search. The create_vector_store_and_poll method creates a vector store, which is typically used for indexing data for search, but there is no indication of enabling a file search or creating an agent in this snippet.
Select the answer that correctly completes the sentence.
Correct Answer:

Explanation:
A data analyst
The statement is:
"________ is responsible for creating visuals and charts that help a company make informed decisions." Let's analyze the options:
A data analyst
Main responsibility: interpreting data, creating visuals, dashboards, and reports using tools like Power BI, Excel, or Tableau.
Helps stakeholders make business decisions from data.
Correct answer.
A data engineer
Focuses on designing, building, and maintaining data pipelines, ETL processes, and storage systems.
Not primarily responsible for creating visuals.
A data scientist
Specializes in advanced analytics, machine learning, and statistical modeling.
They may present insights but their focus is on predictions and algorithms, not routine visuals.
A database administrator (DBA)
Responsible for managing databases, ensuring security, availability, backups, and performance.
Not responsible for creating visuals or dashboards.
The answer: A data analyst
Microsoft Reference
Roles in data analytics
Microsoft Learn: Data Analyst role description - responsible for creating reports and visualizations to support decision-making.
You need to develop a solution to provide data to executives. The solution must provide an interactive graphical interface, depict various key performance indicators, and support data exploration by using drill down. What should you use in Microsoft Power Bl?
- A. a view
- B. Microsoft Power Apps
- C. a dataflow
- D. a report
Correct Answer: D 🗳️
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