Question 655 of 993

Implement natural language processing solutions →mediumMultiple ChoiceObjective-mapped

How to Ingest Documents with Tables and Images into Custom Question Answering

This AI-102 practice question tests your understanding of implement natural language processing 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.

Your company uses a custom question answering knowledge base in Azure AI Language to answer employee questions about HR policies. You need to update the knowledge base with a new set of FAQ documents that contain tables and images. What is the best way to ingest the new content?

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.

A
Use Azure AI Search to index the documents and then import the index into the knowledge base.
Why wrong: Incorrect. Azure AI Search indexes documents but does not directly ingest them into a custom question answering knowledge base. It can be used as a data source for a different service, not for updating the knowledge base.
B
Manually add the new QnA pairs using the Language Studio portal.
Why wrong: Less optimal. Manually adding QnA pairs using the Language Studio portal is possible but not efficient for documents with tables and images. The portal's 'Add source' feature, accessible via the REST API or portal UI, is a better approach.
C
Use the Azure AI Language REST API to add the new QnA pairs programmatically.
Correct. The Azure AI Language REST API can be used to add a source (e.g., a document containing tables and images) to the custom question answering knowledge base. This method handles structured content effectively and is the recommended approach for bulk updates.
D
Use Microsoft Foundry Copilot Studio to automatically ingest the documents into the knowledge base.
Why wrong: Incorrect. Microsoft Foundry Copilot Studio is used to create and manage copilots, not to directly ingest documents into an Azure AI Language custom question answering knowledge base. It can be linked to a knowledge base but does not update it with new content.

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

✓

Use the Azure AI Language REST API to add the new QnA pairs programmatically.

Option C is the best way because the Azure AI Language REST API allows you to add a source (e.g., a document) to the custom question answering knowledge base, which can include tables and images. This is more efficient than manually adding QnA pairs. Option D is incorrect because Microsoft Foundry Copilot Studio is a separate tool for building copilots and does not directly update Azure AI Language custom question answering knowledge bases. Option A is incorrect because Azure AI Search is used for indexing and searching, not for direct ingestion into the knowledge base. Option B is incorrect because manually adding QnA pairs is time-consuming and does not automatically extract structured content like tables and images from documents.

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.

✗
Use Azure AI Search to index the documents and then import the index into the knowledge base.
Why it's wrong here
Incorrect. Azure AI Search indexes documents but does not directly ingest them into a custom question answering knowledge base. It can be used as a data source for a different service, not for updating the knowledge base.
✗
Manually add the new QnA pairs using the Language Studio portal.
Why it's wrong here
Less optimal. Manually adding QnA pairs using the Language Studio portal is possible but not efficient for documents with tables and images. The portal's 'Add source' feature, accessible via the REST API or portal UI, is a better approach.
✓
Use the Azure AI Language REST API to add the new QnA pairs programmatically.
Why this is correct
Correct. The Azure AI Language REST API can be used to add a source (e.g., a document containing tables and images) to the custom question answering knowledge base. This method handles structured content effectively and is the recommended approach for bulk updates.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Microsoft Foundry Copilot Studio to automatically ingest the documents into the knowledge base.
Why it's wrong here
Incorrect. Microsoft Foundry Copilot Studio is used to create and manage copilots, not to directly ingest documents into an Azure AI Language custom question answering knowledge base. It can be linked to a knowledge base but does not update it with new content.

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.

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FAQ

Questions learners often ask

What does this AI-102 question test?

Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use the Azure AI Language REST API to add the new QnA pairs programmatically. — Option C is the best way because the Azure AI Language REST API allows you to add a source (e.g., a document) to the custom question answering knowledge base, which can include tables and images. This is more efficient than manually adding QnA pairs. Option D is incorrect because Microsoft Foundry Copilot Studio is a separate tool for building copilots and does not directly update Azure AI Language custom question answering knowledge bases. Option A is incorrect because Azure AI Search is used for indexing and searching, not for direct ingestion into the knowledge base. Option B is incorrect because manually adding QnA pairs is time-consuming and does not automatically extract structured content like tables and images from documents.

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?

Read the scenario before looking for a memorised answer.

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