Quick Answer
The correct choice is the Async Text Analytics API because it is specifically designed for asynchronous text analytics from Azure Blob Storage, enabling you to extract key phrases, detect sentiment, and identify language in large batches of documents without blocking other processes. This API ingests documents directly from a blob container, processes them asynchronously, and returns results to a specified endpoint, making it ideal for handling bulk transcript files efficiently. On the Microsoft Azure AI Engineer Associate AI-102 exam, this question tests your understanding of when to use synchronous versus asynchronous processing and which API supports multiple built-in analytics tasks from storage. A common trap is confusing the Async Text Analytics API with the conversational summarization API, which only summarizes dialogues, or with opinion mining, which lacks language detection and key phrase extraction. Remember the mnemonic “BLOB = Batch, Language, Opinion, and Beyond” to recall that the Async Text Analytics API handles batch processing, language detection, sentiment, and key phrases from Blob Storage.
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 need to analyze customer service call transcripts to identify common issues. The solution must extract key phrases, detect sentiment, and identify the language used. The transcripts are stored in Azure Blob Storage. Which Azure AI Language feature should you use to process them asynchronously?
Conversational Summarization API
Why wrong: Designed for summarization, not general analytics.
Custom Text Classification API
Why wrong: Requires custom training and does not perform key phrase extraction.
Async Text Analytics API
Supports asynchronous processing with multiple analytics capabilities.
Opinion Mining API
Why wrong: Only extracts opinions.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Async Text Analytics API
Option A is correct because the Async Text Analytics API supports asynchronous processing of documents from Azure Blob Storage, performing key phrase extraction, sentiment analysis, and language detection. Option B is wrong because the conversational summarization API is for summarizing conversations, not for multiple analytics tasks. Option C is wrong because the opinion mining API only extracts opinions, not key phrases or language. Option D is wrong because the custom text classification API requires a trained model and does not perform key phrase extraction or sentiment out of the box.
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.
Conversational Summarization API
Why it's wrong here
Designed for summarization, not general analytics.
Custom Text Classification API
Why it's wrong here
Requires custom training and does not perform key phrase extraction.
Async Text Analytics API
Why this is correct
Supports asynchronous processing with multiple analytics capabilities.
Related concept
Read the scenario before looking for a memorised answer.
Opinion Mining API
Why it's wrong here
Only extracts opinions.
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.
Trap categories for this question
Keyword trap
Requires custom training and does not perform key phrase extraction.
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 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
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: Async Text Analytics API — Option A is correct because the Async Text Analytics API supports asynchronous processing of documents from Azure Blob Storage, performing key phrase extraction, sentiment analysis, and language detection. Option B is wrong because the conversational summarization API is for summarizing conversations, not for multiple analytics tasks. Option C is wrong because the opinion mining API only extracts opinions, not key phrases or language. Option D is wrong because the custom text classification API requires a trained model and does not perform key phrase extraction or sentiment out of the box.
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
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