Question 148 of 988

Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped

Quick Answer

The correct choice is Option C, which combines Entity Recognition, Sentiment, and Key Phrase Extraction skills with a custom Azure OpenAI skill for summarization, plus semantic search. This combination directly meets every requirement: Entity Recognition extracts people and locations, Sentiment captures article tone, Key Phrase Extraction identifies topics, and the custom OpenAI skill generates concise summaries, while semantic search improves relevance ranking for journalist queries. On the AI-102 exam, this scenario tests your ability to select cognitive skills for specific data types—HTML files in Blob Storage—and integrate Azure OpenAI as a custom skill rather than using prebuilt document or translation services. A common trap is choosing Document Intelligence for HTML or Text Analytics for Health, which are domain-specific and miss summarization. Memory tip: think “People, Places, Feelings, Topics, and a Smart Summary” to recall Entity, Sentiment, Key Phrases, and OpenAI.

AI-102 Practice Question: Implement knowledge mining and information extraction solutions

This AI-102 practice question tests your understanding of implement knowledge mining and information extraction 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 news agency. The agency publishes thousands of articles daily. You need to build a knowledge mining solution that enables journalists to search for articles by topic, sentiment, key people, and locations mentioned. The articles are stored as HTML files in Azure Blob Storage. The solution must also provide a summary for each article. You plan to use Azure AI Search with cognitive skills and Azure OpenAI. Which combination of skills and features should you include to meet all requirements with the best performance and accuracy?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

Question 1mediummultiple choice

Read the full NAT/PAT explanation →

A
Use Azure AI Document Intelligence to extract content from HTML, then use Azure AI Language to extract entities and sentiment. Index in Azure AI Search with semantic search.
Why wrong: Document Intelligence is not designed for HTML; summarization missing.
B
Skillset with Entity Recognition skill, Sentiment skill, Key Phrase Extraction skill, and Text Translation skill. Enable semantic search.
Why wrong: Translation not needed; missing summarization.
C
Skillset with Entity Recognition skill, Sentiment skill, and Key Phrase Extraction skill. Use Azure OpenAI service to generate summaries via a custom skill that calls the GPT model. Enable semantic search.
Covers all requirements: topics, sentiment, entities, and summarization.
D
Skillset with Entity Recognition skill, Sentiment skill, and Text Analytics for Health skill to extract medical terms. Use Azure OpenAI for summarization as a custom skill.
Why wrong: Health skill is not relevant for news articles.

Full breakdown with real-world context →

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

✓

Skillset with Entity Recognition skill, Sentiment skill, and Key Phrase Extraction skill. Use Azure OpenAI service to generate summaries via a custom skill that calls the GPT model. Enable semantic search.

Option C is correct because it uses Entity Recognition for people/locations, Sentiment for sentiment, Key Phrase Extraction for topics, and Azure OpenAI for summarization (via a custom skill). Option A uses Translator unnecessarily. Option B uses Text Analytics for health (not appropriate) and lacks summarization. Option D uses Document Intelligence which is for documents, not HTML.

Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Answer analysis

Option-by-option breakdown

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

✗
Use Azure AI Document Intelligence to extract content from HTML, then use Azure AI Language to extract entities and sentiment. Index in Azure AI Search with semantic search.
Why it's wrong here
Document Intelligence is not designed for HTML; summarization missing.
✗
Skillset with Entity Recognition skill, Sentiment skill, Key Phrase Extraction skill, and Text Translation skill. Enable semantic search.
Why it's wrong here
Translation not needed; missing summarization.
✓
Skillset with Entity Recognition skill, Sentiment skill, and Key Phrase Extraction skill. Use Azure OpenAI service to generate summaries via a custom skill that calls the GPT model. Enable semantic search.
Why this is correct
Covers all requirements: topics, sentiment, entities, and summarization.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
✗
Skillset with Entity Recognition skill, Sentiment skill, and Text Analytics for Health skill to extract medical terms. Use Azure OpenAI for summarization as a custom skill.
Why it's wrong here
Health skill is not relevant for news articles.

Common exam traps

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Detailed technical explanation

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

Identify inside and outside interfaces first.
Check whether the scenario needs static NAT, dynamic NAT or PAT.
Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Real-world example

How this comes up in practice

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

Got this wrong? Here's your next step.

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.

Related AI-102 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

Implement an agentic solution practice questions

Practise AI-102 questions linked to Implement an agentic solution.

Implement computer vision solutions practice questions

Practise AI-102 questions linked to Implement computer vision solutions.

Implement knowledge mining and information extraction solutions practice questions

Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.

Implement image and video processing solutions practice questions

Practise AI-102 questions linked to Implement image and video processing solutions.

Implement natural language processing solutions practice questions

Practise AI-102 questions linked to Implement natural language processing solutions.

Implement generative AI solutions practice questions

Practise AI-102 questions linked to Implement generative AI solutions.

Implement agentic AI solutions practice questions

Practise AI-102 questions linked to Implement agentic AI solutions.

Implement knowledge mining and document intelligence solutions practice questions

Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.

Plan and manage an Azure AI solution practice questions

Practise AI-102 questions linked to Plan and manage an Azure AI solution.

Implement content moderation solutions practice questions

Practise AI-102 questions linked to Implement content moderation solutions.

AI-102 fundamentals practice questions

Practise AI-102 questions linked to AI-102 fundamentals.

AI-102 scenario practice questions

Practise AI-102 questions linked to AI-102 scenario.

Practice this exam

Start a free AI-102 practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

10 questions 20 questions 30 questions 50 questions Timed 30

AI-102 practice-test guide →Study guide →Browse all practice tests

FAQ

Questions learners often ask

What does this AI-102 question test?

Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Static NAT maps one inside address to one outside address..

What is the correct answer to this question?

The correct answer is: Skillset with Entity Recognition skill, Sentiment skill, and Key Phrase Extraction skill. Use Azure OpenAI service to generate summaries via a custom skill that calls the GPT model. Enable semantic search. — Option C is correct because it uses Entity Recognition for people/locations, Sentiment for sentiment, Key Phrase Extraction for topics, and Azure OpenAI for summarization (via a custom skill). Option A uses Translator unnecessarily. Option B uses Text Analytics for health (not appropriate) and lacks summarization. Option D uses Document Intelligence which is for documents, not HTML.

What should I do if I get this AI-102 question wrong?

Are there clue words in this question I should notice?

Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

About these practice questions

Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

Keep practising

Question Discussion

Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.

Loading comments…

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.