20+ practice questions focused on Implement knowledge mining and information extraction solutions — one of the most tested topics on the Microsoft Azure AI Engineer Associate AI-102 exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Implement knowledge mining and information extraction solutions PracticeYou are building a knowledge mining solution to extract insights from a large set of PDF contracts. The solution must identify parties, dates, and monetary amounts. Which Azure AI service should you use as the primary extraction engine?
Explanation: Azure AI Document Intelligence (formerly Form Recognizer) is the correct choice because it is specifically designed for document analysis and extraction of structured data such as parties, dates, and monetary amounts from PDFs and images. Its prebuilt models (e.g., the 'prebuilt-invoice' or 'prebuilt-contract' model) use optical character recognition (OCR) and deep learning to extract key-value pairs and entities from contracts without requiring custom training.
You are designing a knowledge mining solution that must extract entities from scanned handwritten forms. The forms contain signatures and checkboxes. Which combination of Azure AI services should you recommend?
Explanation: The scenario requires extracting entities from scanned handwritten forms, which demands a custom neural model in Azure AI Document Intelligence to handle the variability of handwriting, signatures, and checkboxes. Azure AI Language's entity linking then enriches the extracted entities by disambiguating and linking them to a knowledge base, providing structured, meaningful output. The premade models in Document Intelligence are designed for printed text and common layouts, not handwritten content, making a custom neural model essential.
Your organization has a knowledge base of technical manuals in PDF format. You need to enable users to ask natural language questions and get answers from the manuals. Which solution should you build?
Explanation: Azure AI Language custom question answering is specifically designed to ingest documents (like PDFs) and provide a natural language Q&A interface over them. It uses a built-in extractive reader to find answer spans directly from the source text, making it the most straightforward solution for answering questions from a static knowledge base of technical manuals without requiring additional search or vectorization infrastructure.
Your knowledge mining pipeline uses Azure AI Search with a custom skillset that calls an Azure Function. The function sometimes times out for large documents. What is the best way to handle this?
Explanation: Increasing the function timeout (up to the Azure Functions maximum of 10 minutes for the Consumption plan or 30 minutes for the Premium plan) and ensuring the function is in the same region as the search service reduces latency and network overhead, directly addressing timeout issues for large documents. Azure AI Search custom skills must complete within the function's configured timeout, and regional colocation minimizes cross-region data transfer delays.
Which TWO actions should you take to ensure that an Azure AI Search indexer can access data from an Azure Storage account that contains sensitive data?
Explanation: Option C is correct because configuring the search service with a system-assigned managed identity lets the indexer authenticate to Azure Storage via Microsoft Entra ID (Azure RBAC role such as Storage Blob Data Reader) without embedding secrets, which is the recommended secure access pattern for sensitive data. Option D is correct because when the storage account firewall is enabled, the indexer's outbound requests come from the search service's IP address, so adding that IP to the storage account's network rules (via the 'Allow access from' selected networks list) permits the indexer to reach the data while keeping the firewall in place. Option A is not required here because a private endpoint is an alternative network-isolation approach, not a necessary action for enabling indexer access, and it is not one of the marked correct answers. Option B is not ideal for sensitive data because SAS keys are shared secrets that can be leaked or over-scoped, and managed identity is preferred. Option E is wrong because disabling the storage account firewall removes a critical security control and exposes the sensitive data, contradicting the goal of secure access.
+15 more Implement knowledge mining and information extraction solutions questions available
Practice all Implement knowledge mining and information extraction solutions questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Implement knowledge mining and information extraction solutions. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Implement knowledge mining and information extraction solutions questions on the AI-102 frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. Implement knowledge mining and information extraction solutions is tested as part of the Microsoft Azure AI Engineer Associate AI-102 blueprint. Practicing with targeted Implement knowledge mining and information extraction solutions questions ensures you can handle any format or difficulty that appears.
Yes. Courseiva provides free AI-102 practice questions across all exam topics and domains. The platform includes topic-based practice, mock exams, missed-question review, bookmarked questions, and readiness tracking — no account required.
Difficulty is subjective, but Implement knowledge mining and information extraction solutions is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.
Launch a full Implement knowledge mining and information extraction solutions practice session with instant scoring and detailed explanations.
Start Implement knowledge mining and information extraction solutions Practice →