Microsoft : AI-102 Questions & Answers
Updated: Nov 03, 2026
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Exam Details
Speaking of the exam details, the test will contain from 40 to 60 questions of various types which you need to complete within 100 or 120 minutes (depends on the inclusion of labs). To pass the exam you need to schedule the test on the PearsonVUE platform, pay an exam fee which is currently $165, and score at least 700 points or more out of 1000. And, of course, the knowledge of exam topics is a must.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Topics Covered
Exam AI-102 contains five topics each of which is intended to check specific skills.
1. Plan and Manage an Azure Cognitive Services Solution
This topic implies your ability to choose the suitable Cognitive Services resource, create it, plan and design security for a Cognitive Services solution, and apply Cognitive Services containers. This means that you should be competent in selecting the appropriate cognitive service for solutions that refer to language analysis, speech, decision support, and vision. You also should possess skills to operate costs of Cognitive Services, create a Cognitive Services resource, and monitor a cognitive service. This part also checks how well you can operate Cognitive Services account keys, and protect Cognitive Services. Your knowledge of using Face API, Computer Vision, Speech, Text Analysis, and ability to integrate Cognitive Services Containers in Microsoft Azure will also be assessed.
2. Implement Computer Vision Solutions
The second topic is designed to check your skills in using the Computer Vision API to get image descriptions, define landmarks, find brands, edit content in images, and create thumbnails. In this part, you are expected to be able to detect faces and recognize them in images, analyze facial features, and match similar faces with the help of the Face API. Being competent in utilizing the Custom Vision service, you should demonstrate your skills in applying image classification and implementing an object detection solution. Besides, your ability to analyze video by implementing Azure Video Analyzer for Media will be measured.
3. Implement Natural Language Processing Solutions
In the third topic, candidates are required to show their skills in analyzing text by utilizing the Text Analytics service, control speech by implementing the Speech service, translate the text with the help of the Translator service. This domain also checks your proficiency in creating and optimizing an initial language model by utilizing LUIS, and finally, managing it.
4. Implement Knowledge Mining Solutions
In this domain, you will be required to have expertise related to applying a Cognitive Search solution, which implies creating data sources, identifying an index, running an indexer, and using synonyms. This topic also aims to evaluate your ability to apply an enrichment pipeline, use a knowledge store, operate a Cognitive Search solution and indexing.
5. Implement Conversational AI Solutions
This domain will evaluate your capacity in utilizing QnA Maker to make a knowledge base, creating and implementing conversation flow, creating a bot by utilizing either the Bot Framework Composer or the Bot Framework SDK. Finally, you will need to demonstrate your skills in integrating Cognitive Services into a bot.
Skills measured
- Implement Computer Vision solutions (20-25%)
- Plan and manage an Azure Cognitive Services solution (15-20%)
- Implement knowledge mining solutions (15-20%)
- Implement natural language processing solutions (20-25%)
- Implement conversational AI solutions (15-20%)
Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Plan and configure secure AI solutions - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions |
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
| Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Implement object detection and image classification - Implement Azure AI Face service - Process video and generate insights - Read and process documents using Azure AI Document Intelligence |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Implement Azure AI Search solutions - Design document processing pipelines - Create custom skills for Azure AI Search |
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques |
| Implement Natural Language Processing Solutions | 20-25% | - Analyze text using Azure AI Language - Build question answering solutions - Create conversational AI solutions with Azure AI Bot Service - Implement speech capabilities using Azure AI Speech - Translate text and speech |
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
You have a blog that allows users to append feedback comments. Some of the feedback comments contain harmful content that includes discriminatory language.
You need to create a prototype of a solution that will detect the harmful content. The solution must minimize development effort.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. From the Azure portal, create an Azure Al Content Safety resource.
- B. Sign in to Azure Al Foundry and select Safety + security.
- C. From the Azure portal, create an Azure OpenAI resource.
- D. Sign in to Content Safety Studio and select Protected material detection for text.
- E. Sign in to Content Safety Studio and select Moderate text content.
Correct Answer: A,E 🗳️
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Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
The statement is:
" When using the Azure Cosmos DB Gremlin API, the container resource type is projected as a ______. " Options:
graph # Correct. The Gremlin API in Azure Cosmos DB is designed to work with graph data models, supporting vertices (nodes) and edges (relationships). A container is projected as a graph.
table # Used when working with the Table API (key/value store). Not correct here.
partition key # Refers to data distribution and scalability, not the container resource type.
document # Refers to the SQL API or MongoDB API in Cosmos DB, not Gremlin.
Therefore, the correct answer is graph.
The answer: graph
Microsoft References
Azure Cosmos DB Gremlin API
Azure Cosmos DB APIs and data models
You train a Custom Vision model used in a mobile app.
You receive 1,000 new images that do not have any associated data.
You need to use the images to retrain the model. The solution must minimize how long it takes to retrain the model.
Which three actions should you perform in the Custom Vision portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
You have 1,000 untagged images and want to retrain the Custom Vision model as quickly as possible. The key is to avoid manually tagging every image, since that is time-consuming.
Step 1: Upload all the images
First, bulk upload all the untagged images into the Custom Vision project.
At this stage, they will have no labels.
Step 2: Get suggested tags
The Custom Vision portal offers an auto-suggest feature that uses the current trained model to predict tags for new, untagged images.
This dramatically reduces manual tagging effort.
Step 3: Review the suggestions and confirm the tags
Auto-suggestions are not always 100% accurate, so you must confirm or correct them.
Once confirmed, the dataset is labeled properly and ready for retraining.
Why not the other options?
Upload the images by category / group into category folders: This is only helpful if the images already have known categories, but here they arrive untagged.
Tag the images manually: This would take much longer and contradicts the requirement to minimize time.
Correct Sequence
Upload all the images.
Get suggested tags.
Review the suggestions and confirm the tags.
Microsoft References
Custom Vision - Tag images
Custom Vision - Suggested tags with predictions
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
In SQL, DML (Data Manipulation Language) statements include SELECT , INSERT , UPDATE , and DELETE . Often, you need to filter which rows are affected or returned. That filtering is done with the WHERE clause.
Let's review the options:
ALTER
Used in Data Definition Language (DDL), not DML.
Alters the structure of a database object (e.g., add/remove columns, modify constraints).
Not used to filter rows.
ON
Used in JOIN operations to specify the relationship between tables.
Does not specify row-level filtering criteria in general DML.
SET
Used in the UPDATE statement to assign new values to columns.
Does not specify which rows to update.
WHERE
Used in DML statements to specify criteria for rows that must match.
Examples:
SELECT * FROM Customers WHERE Country = ' USA ' ;
DELETE FROM Orders WHERE OrderDate < ' 2020-01-01 ' ;
UPDATE Products SET Price = Price * 1.1 WHERE CategoryID = 5;
Thus, the correct clause is WHERE.
The answer: WHERE
Microsoft References
SQL WHERE clause
SQL UPDATE with WHERE
SQL DELETE with WHERE
You are building an app that will use Azure Al Language to extract meaning from text messages.
You need to provide additional context by adding references to supporting articles in Wikipedia.
What should you use?
- A. Azure Al Content Safety
- B. entity linking
- C. custom entity extraction recognition (NER)
- D. key phrase extraction
Correct Answer: B 🗳️
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