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AI-103 Text Analysis Practice Question

You are reviewing the JSON response of a sentiment analysis API call from the Azure AI Language service. Which THREE properties or confidence scores are returned in the standard response payload for a given document?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Sentence-level sentiment and confidence scores

The sentiment analysis response structure includes the overall document sentiment, confidence scores for positive, neutral, and negative classes, sentence-level breakdowns, and opinion mining components if enabled.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Sentence-level sentiment and confidence scores

    Why this is correct

    The response includes a breakdown of sentiment results at the individual sentence level.

  • Confidence scores for positive, neutral, and negative sentiment classes

    Why this is correct

    The API returns confidence scores summing up to 1.0 for positive, neutral, and negative polarities.

  • Exact translation of the text into English

    Why it's wrong here

    Sentiment analysis evaluates tone; translation is handled by the Azure AI Translator service.

  • Overall document sentiment (e.g., positive, negative, neutral, mixed)

    Why this is correct

    The overall sentiment classification of the document is a primary property in the JSON output.

  • Grammar and spelling correction suggestions

    Why it's wrong here

    Spelling and grammar correction is part of Bing Spell Check or specialized grammar tools, not sentiment analysis.

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Last reviewed August 2026 · checked against the official Microsoft exam blueprint

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