Quick Answer
The correct answer is Option B, using the Speech-to-text REST API for real-time streaming with the Speech SDK. This is the right choice because the Speech SDK’s real-time streaming API is specifically designed for low-latency, near-real-time speech transcription, processing audio as it flows rather than waiting for the entire file to finish, which is essential for live streaming events. On the AI-102 exam, this question tests your understanding of the difference between batch and real-time transcription workloads; a common trap is assuming that a higher-priority queue in batch transcription (Option A) can achieve near-real-time speeds, but batch APIs inherently have minutes-to-hours latency. Remember that Azure AI Language (Option C) handles text, not audio, and Video Indexer (Option D) is for post-production indexing, not live streaming. A useful memory tip: for live, think “SDK stream”; for offline, think “batch file.”
This AI-102 practice question tests your understanding of implement natural language processing solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
You are a solution architect at a media company. The company uses Azure AI Speech to generate subtitles for videos. The current solution uses the batch transcription API and takes several hours to process a 1-hour video. The business requires near-real-time subtitles for live streaming events. You need to design a new solution that provides low-latency transcription. You have the following options:
Option A: Use the batch transcription API with a higher priority queue.
Option B: Use the Speech-to-text REST API for real-time streaming with the Speech SDK.
Option C: Use the Azure AI Language API to transcribe audio from a file.
Option D: Use Azure AI Video Indexer to generate subtitles.
Option C
Why wrong: Azure AI Language does not transcribe audio.
Option B
Speech SDK with real-time streaming provides low-latency transcription.
Option D
Why wrong: Video Indexer is for indexing, not real-time streaming.
Option A
Why wrong: Batch transcription is not near-real-time.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Option B
Option B is correct. The Speech SDK with real-time streaming provides low-latency transcription suitable for live events. Option A is wrong because batch transcription is not near-real-time. Option C is wrong because Azure AI Language does not transcribe audio. Option D is wrong because Video Indexer is for indexing, not real-time streaming.
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.
Option C
Why it's wrong here
Azure AI Language does not transcribe audio.
Option B
Why this is correct
Speech SDK with real-time streaming provides low-latency transcription.
Related concept
Read the scenario before looking for a memorised answer.
Option D
Why it's wrong here
Video Indexer is for indexing, not real-time streaming.
Option A
Why it's wrong here
Batch transcription is not near-real-time.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Option B — Option B is correct. The Speech SDK with real-time streaming provides low-latency transcription suitable for live events. Option A is wrong because batch transcription is not near-real-time. Option C is wrong because Azure AI Language does not transcribe audio. Option D is wrong because Video Indexer is for indexing, not real-time streaming.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 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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