The correct answer is to develop a custom skill that converts EPUB files to plain text and add it to the skillset. This is necessary because Azure Cognitive Search indexers and built-in skills, including Azure AI Document Intelligence, do not natively support the EPUB format; they only handle standard document types like PDF, Word, and plain text. A custom skill acts as a bridge, converting EPUB content into a supported format so the enrichment pipeline can extract metadata such as authors, publication dates, and chapter titles. On the AI-102 exam, this scenario tests your understanding of the skillset architecture and the limits of built-in skills—a common trap is assuming Document Intelligence can handle all text-based formats. Remember the memory tip: “If it’s not PDF, Word, or text, you must convert it next.”
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. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 designing a knowledge mining solution for a publishing company that needs to extract metadata from thousands of book manuscripts in various formats (PDF, Word, EPUB). The solution must identify authors, publication dates, and chapter titles. You are using Microsoft Foundry with Azure AI Search and Azure AI Document Intelligence. The manuscripts are stored in Azure Blob Storage. You need to ensure that the solution can handle all file formats. You have configured a skillset with a Document Intelligence skill for the PDFs and Word documents. However, the EPUB files are not being processed. What should you do to include EPUB files in the enrichment pipeline?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Develop a custom skill that converts EPUB files to plain text and add it to the skillset.
Option C is correct because Azure AI Search's indexer does not natively support EPUB files. A custom skill can convert EPUB to text or a supported format. Option A is wrong because the skill itself cannot handle unsupported formats. Option B is wrong because the indexer must support the format. Option D is wrong because Document Intelligence does not support EPUB.
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 text from EPUB files directly.
Why it's wrong here
Document Intelligence does not support EPUB files.
✓
Develop a custom skill that converts EPUB files to plain text and add it to the skillset.
Why this is correct
A custom skill can convert unsupported formats into text that the pipeline can process.
Related concept
Static NAT maps one inside address to one outside address.
✗
Modify the Document Intelligence skill to accept EPUB files.
Why it's wrong here
Document Intelligence does not support EPUB; it cannot be modified to do so.
✗
Register a new data source type for EPUB in Azure AI Search.
Why it's wrong here
Azure AI Search has a fixed set of data source types; EPUB is not supported.
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.
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: Develop a custom skill that converts EPUB files to plain text and add it to the skillset. — Option C is correct because Azure AI Search's indexer does not natively support EPUB files. A custom skill can convert EPUB to text or a supported format. Option A is wrong because the skill itself cannot handle unsupported formats. Option B is wrong because the indexer must support the format. Option D is wrong because Document Intelligence does not support EPUB.
What should I do if I get this AI-102 question wrong?
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.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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