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AI-103 Practice Question 79: Extractive Versus Abstractive Summary

Microsoft Azure AI Apps and Agents Developer Associate (AI-103) · Test 8 · question 9 of 10

Implement text analysis solutionseasy

A compliance team needs to summarize lengthy regulatory filings. Their auditors require that every sentence appearing in a summary be an exact, unaltered quote lifted from the source filing, so a reviewer can trace each summary sentence back to its precise wording without any rephrasing.

Which Azure AI Language summarization capability satisfies this requirement?

Select one answer
Show answer and explanation

Answer:

  • B. Extractive summarization

Extractive summarization "produces a summary by extracting salient sentences within the source text"; the returned sentences are, in Microsoft's own words, "original sentences extracted from the input text content," each with a rank score and its exact positional offset in the source. That guarantee of verbatim, traceable wording is exactly the auditors' requirement.

- A is wrong because abstractive summarization deliberately does the opposite: it "generates a summary with concise, coherent sentences or words that aren't verbatim extract sentences from the original source"; a fluent paraphrase is the point, which breaks the auditors' word-for-word traceability requirement. - C is wrong because issue/resolution summarization is a conversation-summarization feature built for customer-service dialogue transcripts, not for condensing a plain-text regulatory document. - D is wrong because key phrase extraction returns short standalone terms, not a coherent summary made of extracted sentences; it wouldn't read as a summary at all.

Reference: What is summarization?

Practice Test 8 ›

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