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.
A healthcare organization is implementing a knowledge mining solution to extract information from medical records. They need to ensure that the solution can identify medical conditions, medications, and treatment procedures using a pre-built model. The solution must be deployed in Microsoft Foundry. Which THREE components should be included? (Choose three.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Text Analytics for Health skill in an Azure AI Search skillset.
Option A is correct because the Text Analytics for Health model is a pre-built model for extracting healthcare entities. Option C is correct because Azure AI Search is used to index the extracted data. Option D is correct because the Text Analytics for Health skill in Azure AI Search applies the model. Options B and E are incorrect: Language Understanding is for conversational AI, and Form Recognizer is for form data.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Text Analytics for Health skill in an Azure AI Search skillset.
Why this is correct
This skill integrates the model into the indexing pipeline.
Related concept
Read the scenario before looking for a memorised answer.
✓
Azure AI Search index.
Why this is correct
The index stores the extracted entities and enables search.
Related concept
Read the scenario before looking for a memorised answer.
✓
Text Analytics for Health model in Microsoft Foundry.
Why this is correct
This pre-built model extracts medical entities from unstructured text.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure AI Document Intelligence (formerly Form Recognizer) custom model.
Why it's wrong here
Document Intelligence is for extracting data from forms and documents, not specifically for medical entities.
✗
Language Understanding (LUIS) model.
Why it's wrong here
LUIS is for intent recognition, not medical entity extraction.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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.
Detailed technical explanation
How to think about this question
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.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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.
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Text Analytics for Health skill in an Azure AI Search skillset. — Option A is correct because the Text Analytics for Health model is a pre-built model for extracting healthcare entities. Option C is correct because Azure AI Search is used to index the extracted data. Option D is correct because the Text Analytics for Health skill in Azure AI Search applies the model. Options B and E are incorrect: Language Understanding is for conversational AI, and Form Recognizer is for form data.
What should I do if I get this AI-102 question wrong?
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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