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Free AI-102 practice test
Know why every answer is right or wrong.
What AI-102 covers: Plan and manage an Azure AI solution (18%) • Implement knowledge mining and information extraction solutions (15%) • Implement generative AI solutions (12%)
New set every day. Start today's questions before they rotate.
AI-102
Azure AI Engineer Associate
What you get immediately
- A real AI-102 question first, not a wall of copy
- Correct answer plus per-choice explanation
- Source link for follow-up study
- Free daily set, then full-bank Pro when you want more
Which tool type connects an Azure AI Foundry agent to external APIs described by an OpenAPI 3.0 specification?
A. Correct: An OpenAPI-specified tool is how the agent is connected to an external API described by an OpenAPI document.
B. Incorrect: Vector stores do not define API calls.
C. Incorrect: Knowledge-store projections are not tool definitions for agent actions.
D. Incorrect: Safety classifiers do not expose external APIs to agents.
When planning an AI solution that requires handling large volumes of unstructured text data, which Azure service should be selected?
A. Correct: Azure AI Language is designed to process large volumes of unstructured text data, providing insights such as entity recognition and sentiment analysis.
B. Incorrect: While Azure Machine Learning can manage machine learning workflows, it does not specialize in handling unstructured text data.
C. Incorrect: Although Azure Data Factory integrates with various data sources, it is not specifically designed for processing large volumes of unstructured text.
D. Incorrect: The Speech Service focuses on speech recognition and synthesis rather than analyzing unstructured text.
Which Azure service should be used to implement a generative AI solution by ensuring outputs are grounded in context and applying safety controls?
A. Correct: Azure OpenAI Service provides tools for implementing generative AI solutions by selecting appropriate services, grounding outputs, and applying safety controls.
B. Incorrect: Azure Machine Learning focuses on building machine learning models rather than generative AI solutions with specific grounding and safety features.
C. Incorrect: Azure AI Search is designed for enterprise search and does not provide the necessary tools for implementing generative AI solutions.
D. Incorrect: Azure Bot Service is used to build conversational bots, but it lacks the specific capabilities needed for grounding outputs in context and applying safety controls.
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A finance workflow must read invoice fields without first labeling a custom training set. Which Document Intelligence option fits?
A. Correct: Use a prebuilt invoice model directly matches the prebuilt invoice extraction requirement being tested.
B. Incorrect: Train a custom speech model belongs to a different AI workload and does not satisfy the prebuilt invoice extraction requirement.
C. Incorrect: Create an image classification project belongs to a different AI workload and does not satisfy the prebuilt invoice extraction requirement.
D. Incorrect: Configure sentiment analysis belongs to a different AI workload and does not satisfy the prebuilt invoice extraction requirement.
Which Azure AI service is best suited for analyzing video content to extract insights such as speech, scenes, and labels?
A. Correct: Azure AI Video Indexer extracts insights such as speech, labels, and scene information from video.
B. Incorrect: Search does not perform raw video analysis.
C. Incorrect: The question asks for the purpose-built service, not a general ML platform.
D. Incorrect: Document intelligence does not analyze video content.
Which Azure service can help detect and classify personally identifiable information (PII) in conversation transcripts?
A. Correct: Azure AI Language because it includes capabilities for detecting and classifying PII in unstructured text, including conversation transcripts.
B. Incorrect: Azure Machine Learning because while it can be used to build custom models for various tasks, it does not specifically offer out-of-the-box solutions for PII detection in conversations.
C. Incorrect: Azure Cognitive Search because although it supports indexing and searching of documents, it lacks the specific feature set required for detecting and classifying PII in conversation transcripts.
D. Incorrect: Azure Bot Service because its primary function is to facilitate building conversational interfaces rather than providing tools for PII detection.
When deploying a generative AI model in Azure AI Foundry, which of the following is necessary to ensure proper deployment for gpt-oss-20b?
A. Correct: This because gpt-oss-20b, like other Azure OpenAI models, requires a Foundry project for deployment.
B. Incorrect: This because while resource groups can be used, they are not specifically required for deploying gpt-oss-20b in Azure AI Foundry.
C. Incorrect: This because the model version '1' is mentioned but it's not a requirement specific to ensuring proper deployment of gpt-oss-20b.
D. Incorrect: This because streaming capabilities, while available, are not necessary for deploying gpt-oss-20b.
Which tool can help developers simulate cyberattacks against AI systems to ensure they are secure in different deployment environments?
A. Incorrect: SmartNoise because it focuses on implementing differential privacy, not simulating cyberattacks.
B. Incorrect: Azure Machine Learning because it provides a platform for developing and deploying machine learning models, not specifically for simulating attacks.
C. Incorrect: Responsible AI scorecard because it does not exist as an open-source tool for simulation purposes.
D. Correct: Counterfit because it is designed to simulate cyberattacks against AI systems in various environments.
Which Azure AI service is best suited for summarizing lengthy documents or conversation transcripts?
A. Correct: Azure AI Language provides the capability to summarize text-based content, which is essential for handling large volumes of data efficiently.
B. Incorrect: The Speech Service focuses on converting speech to text and vice versa, not summarizing documents or transcripts.
C. Incorrect: LUIS specializes in understanding conversational language but does not provide document summarization features.
D. Incorrect: Document Intelligence deals with extracting information from forms and documents but lacks the specific feature for summarizing content.
Which of the following open-source projects can help ensure privacy while processing image data in machine learning solutions?
A. Incorrect: SmartNoise because it provides components for building differentially private systems that protect individual data privacy.
B. Correct: Counterfit because it simulates cyberattacks against AI systems and does not focus on privacy or image data processing.
C. Incorrect: Azure Machine Learning because although it offers security features, it is not an open-source project focused specifically on privacy in machine learning solutions.
D. Incorrect: Azure AI Vision because it provides advanced algorithms for image analysis but does not address privacy concerns.
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171 verified questions are currently in the live bank. Questions updated at May 13, 2026, 6:03 AM CDT. The daily set rotates at 10:00 AM local time, and each explanation links back to the source used to write it. Use the web set for quick practice, then switch to the app when available for larger banks and deeper review.
AI-102 is best used when you want targeted practice for Azure AI Engineer Associate instead of a generic study lane.
- Role examples: Azure AI Engineer Associate learners and adjacent cloud and it roles.
- Where it shows up: cloud, networking, support, and platform admin certs..
- On-the-job payoff: you want quicker recall on the exam language that tends to show up in Microsoft role-aligned study.
- Typical next step: Use the Microsoft practice hub when you want nearby exams that serve the same job path.
AI-102 usually rewards clean service-selection logic, role clarity, and matching the scenario to the right Microsoft capability.
- Current emphasis in this bank: Plan and manage an Azure AI solution (18%).
- A lot of misses happen when the answer sounds like the right Microsoft product family but does not actually fit the workload, admin scope, or governance constraint in the prompt.
- Best official starting point: AI-102 study guide.
The fastest path is to turn this exam into a repeatable pattern-recognition loop instead of a one-time cram session.
- Start with the free daily set closed-book so you can see which parts of the cloud and it lane still feel weak.
- Use every explanation as a checkpoint for why the right answer fits the scenario and why the other answer choices do not.
- Open the official Microsoft source when a concept keeps missing so you fix the gap at the source instead of rereading generic notes.
- Use the nearby cert pages when you need broader context around the same job path or technology stack.
The usual misses happen when learners recognize keywords but do not slow down enough to match the scenario to the exact decision the exam is testing.
- Reading for one familiar keyword and skipping the deeper clue that tells you which cloud and it concept actually fits.
- Memorizing isolated terms without checking why the right answer wins over the other answer choices in the same scenario.
- Ignoring the official Microsoft source after a miss and hoping the next question will feel easier on its own.
- Studying this page in isolation when one nearby cert page could clear up the broader pattern much faster.
The fastest path is simple: answer the set, review the reasoning, then use the score history and source links to decide what to hit next.
- Answer the free set first without looking anything up so the score reflects what is actually sticking.
- Read every explanation, especially the wrong answer choices, so the weaker options stop looking plausible next time.
- Open the linked source when a concept feels weak, then come back and repeat the question flow while the wording is fresh.
- Use the 7-day score keeper, related cert links, and comparison pages to decide what to study next instead of guessing.
- Move into Pro when you want the full bank, timed reps, readiness tracking, and previous-test review.
Use these official Microsoft resources alongside the daily practice set. They cover the provider's own exam page, study guide, or prep material.
Need adjacent Microsoft practice pages too? Microsoft practice hub.
How are AI-102 questions generated?
dotCreds builds AI-102 practice questions from Microsoft Learn documentation and product references, with official or primary sources preferred first. The questions are written for realistic study practice, not copied from exam dumps.
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Each question includes a source-backed explanation and a link to the documentation or reference used to validate the answer. If an official page is too broad, dotCreds uses a reputable answer-level reference instead of pretending a generic page proves the answer.
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The page tracks today's answered count and accuracy for the 10-question daily set, then saves a 7-day score history on this device so you can see your recent practice trend.
Why use this site?
The site is the fastest way to start AI-102 practice without installing anything. It is built for daily recall, quick weak-topic discovery, and source-backed explanations you can review immediately.
Why use the app when available?
The web page is the quick free sampler. If a dotCreds app is available for AI-102, the app is better for larger banks, focused weak-domain drills, longer review sessions, and mobile study routines.