Practice Questions

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Question 1

A company wants to automatically identify the main topics discussed in thousands of customer reviews without determining whether the reviews are positive or negative.

Which NLP capability should be used?

A. Sentiment analysis
B. Language detection
C. Key phrase extraction
D. Entity recognition

Correct Answer: C

Explanation:
Key phrase extraction identifies important topics and concepts in text without analyzing emotional tone, making it ideal for summarizing review content.

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Question 2

Which output is most likely returned by a key phrase extraction service?

A. A sentiment score between –1 and 1
B. A list of important words or short phrases
C. A detected language code
D. A classification label

Correct Answer: B

Explanation:
Key phrase extraction returns a list of relevant words or phrases that summarize the main ideas of the text.

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Question 3

Which Azure service provides key phrase extraction using prebuilt models?

A. Azure Machine Learning
B. Azure AI Vision
C. Azure AI Language
D. Azure Cognitive Search

Correct Answer: C

Explanation:
Key phrase extraction is part of Azure AI Language, which offers prebuilt NLP models accessible via APIs.

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Question 4

A support team wants to automatically tag incoming support tickets with topics such as billing, login issues, or performance.

Which NLP capability should they use?

A. Named entity recognition
B. Key phrase extraction
C. Sentiment analysis
D. Speech-to-text

Correct Answer: B

Explanation:
Key phrase extraction identifies important topics in unstructured text, making it suitable for tagging and categorization.

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Question 5

Which scenario is NOT a typical use of key phrase extraction?

A. Summarizing the main topics of documents
B. Improving document search and indexing
C. Detecting the emotional tone of text
D. Identifying trending discussion topics

Correct Answer: C

Explanation:
Detecting emotional tone is handled by sentiment analysis, not key phrase extraction.

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Question 6

Which statement best describes key phrase extraction for the AI-900 exam?

A. It requires labeled training data
B. It extracts names and dates only
C. It uses pretrained models on unstructured text
D. It classifies text into predefined categories

Correct Answer: C

Explanation:
Key phrase extraction uses pretrained NLP models and works directly on unstructured text without training.

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Question 7

A multinational company wants to extract key topics from documents written in multiple languages.

Which feature of Azure AI Language supports this requirement?

A. Custom model training
B. Multi-language support
C. Facial recognition
D. Object detection

Correct Answer: B

Explanation:
Azure AI Language supports multiple languages for key phrase extraction, enabling global text analysis.

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Question 8

Which NLP capability focuses on identifying specific items such as names, locations, and dates?

A. Key phrase extraction
B. Sentiment analysis
C. Language detection
D. Entity recognition

Correct Answer: D

Explanation:
Entity recognition extracts specific entities, while key phrase extraction focuses on main topics and concepts.

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Question 9

A business wants to quickly understand what large volumes of text are about, without reading every document.

Which benefit of key phrase extraction addresses this need?

A. Emotion detection
B. Automatic topic identification
C. Speech recognition
D. Image analysis

Correct Answer: B

Explanation:
Key phrase extraction automatically identifies important topics, allowing rapid understanding of large text collections.

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Question 10

Which responsible AI consideration is most relevant when using key phrase extraction?

A. Identity verification
B. Avoiding misinterpretation of extracted phrases
C. Biometric data protection
D. Facial bias detection

Correct Answer: B

Explanation:
Key phrase extraction outputs are contextual summaries, so users must avoid treating them as definitive conclusions.

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Exam Tip Recap 🔑

Often paired with search, tagging, and trend analysis

Key phrase extraction = What is this text about?

It does not analyze sentiment

Uses prebuilt models in Azure AI Language

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