Microsoft AI-102: Designing and Implementing a Microsoft Azure AI Solution

Last checked October 22, 2026 against the official Microsoft exam page.

1. Question 1Implement generative AI solutions

   What is the purpose of retrieval-augmented generation (RAG)?

   1. ATo train a new foundation model from scratch using only the organisation's internal documents and no base model
   2. BTo remove the need for any prompt when the model answers questions from users of the application
   3. CTo ground a model's answers in retrieved content from the organisation's own data sources
   4. DTo convert all answers into images so that the model can respond visually to users without any text
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   Correct answer: C

   RAG grounds answers in retrieved organisational content. It does not remove prompts, train a foundation model from scratch or convert answers to images.

2. Question 2Plan and manage an Azure AI solution

   Which Azure AI service suits a solution that must extract key phrases and detect sentiment from customer reviews?

   1. AAzure AI Vision, which analyses images to detect objects, tags and text found inside pictures
   2. BAzure AI Language, which provides text analytics features such as key phrase extraction and sentiment
   3. CAzure AI Speech, which converts spoken audio into text and synthesises speech from written text
   4. DAzure AI Translator, which translates text between languages but does not analyse the meaning of the text
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   Correct answer: B

   Azure AI Language provides key phrase extraction and sentiment analysis for text. Vision, Speech and Translator address different data types or tasks.

3. Question 3Implement knowledge mining and information extraction solutions

   Which THREE components are part of an Azure AI Search indexing pipeline? (Choose three.)

   1. AA data source that connects the indexer to the content to be indexed
   2. BAn indexer that runs on a schedule or on demand to load the index from the data source
   3. CA skillset that applies AI enrichment steps such as entity recognition to the content during indexing
   4. DA tracker that monitors the colour theme of the search results page seen by the end user of the site
   5. EA gateway that encrypts every query result for the mobile applications that read the index
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   Correct answer: A, B, C

   Data sources, indexers and skillsets form the indexing pipeline. A colour tracker and a result-encrypting gateway are not part of Azure AI Search.

4. Question 4Implement computer vision solutions

   Which Azure AI capability reads printed text from an image?

   1. ASpeech synthesis, which converts written text into a spoken audio file for the user to listen to
   2. BOptical character recognition in the Azure AI Vision read feature
   3. CLanguage detection, which identifies the language of text that has already been typed into the application
   4. DAnomaly detection, which finds unusual values in a numeric time series stored in a database table
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   Correct answer: B

   The Vision read feature performs optical character recognition. Speech synthesis, language detection and anomaly detection do different jobs.

5. Question 5Implement natural language processing solutions

   Which Azure AI Language feature identifies people, places and organisations in text?

   1. ANamed entity recognition, which detects and categorises entities such as people and organisations
   2. BSentiment analysis, which scores the tone of a piece of text as positive, negative, neutral or mixed overall
   3. CLanguage detection, which identifies which language the text is written in, not what the entities are
   4. DSpeech recognition, which converts audio into text but does not analyse the entities that the text contains
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   Correct answer: A

   Named entity recognition detects and categorises entities. Sentiment, language detection and speech recognition do different tasks.