Quick Answer
The answer is an Azure Storage account to store video files, an Azure Video Analyzer for Media account, and a media file (such as a video or audio file) to index. The Azure Video Analyzer for Media account is the core service that provides AI-powered insights like speech transcription, face detection, and sentiment analysis, while the storage account holds the source video files for processing, and the media file itself is the input that gets indexed. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your understanding of the foundational components required to build a custom video indexing solution, often appearing as a multiple-select item where candidates mistakenly choose optional features like a Cognitive Services account or a custom model endpoint. A common trap is assuming you need a separate Azure Media Services account, but Video Analyzer for Media is a standalone service. Memory tip: think “Three S’s” — Storage, Service (the Video Analyzer account), and Source (the video file).
This AI-102 practice question tests your understanding of implement image and video processing solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which THREE are required to build a custom video indexing solution using Azure Video Analyzer for Media? (Choose three.)
An Azure Video Analyzer for Media account.
The service itself requires an account.
A custom indexing pipeline.
Why wrong: Indexing is built-in.
An Azure Media Services account.
Video Analyzer for Media integrates with Media Services.
A custom language model.
Why wrong: Not required; default models work.
An Azure Storage account to store video files.
Videos are stored in Azure Storage.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
An Azure Video Analyzer for Media account.
An Azure Video Analyzer for Media account is required because it is the core service that provides the video indexing capabilities, including AI-powered insights like speech transcription, face detection, and sentiment analysis. Without this account, you cannot access the indexing APIs or manage indexed videos.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
An Azure Video Analyzer for Media account.
Why this is correct
The service itself requires an account.
Related concept
Read the scenario before looking for a memorised answer.
A custom indexing pipeline.
Why it's wrong here
Indexing is built-in.
An Azure Media Services account.
Why this is correct
Video Analyzer for Media integrates with Media Services.
Related concept
Read the scenario before looking for a memorised answer.
A custom language model.
Why it's wrong here
Not required; default models work.
An Azure Storage account to store video files.
Why this is correct
Videos are stored in Azure Storage.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often mistake optional customization features (like custom language models or custom pipelines) as mandatory requirements, when in fact the core prerequisites are the three Azure resources: Video Analyzer for Media account, Media Services account, and Storage account.
Detailed technical explanation
Under the hood, Azure Video Analyzer for Media uses pre-trained AI models from Azure Cognitive Services (e.g., Speech, Vision) to extract metadata from video files. The service requires an Azure Media Services account to handle video encoding and streaming, and an Azure Storage account to store the raw video files before they are ingested into the indexing pipeline. This three-tier architecture ensures separation of storage, encoding, and AI processing.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Implement image and video processing solutions — This question tests Implement image and video processing solutions — Read the scenario before looking for a memorised answer..
The correct answer is: An Azure Video Analyzer for Media account. — An Azure Video Analyzer for Media account is required because it is the core service that provides the video indexing capabilities, including AI-powered insights like speech transcription, face detection, and sentiment analysis. Without this account, you cannot access the indexing APIs or manage indexed videos.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.
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