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Implement knowledge mining and information extraction solutions practice questions

Practise Microsoft Azure AI Engineer Associate AI-102 Implement knowledge mining and information extraction solutions practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

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Reviewed byJohnson Ajibi· MSc IT Security
20 questionsDomain: Implement knowledge mining and information extraction solutions
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What the exam tests

What to know about Implement knowledge mining and information extraction solutions

Implement knowledge mining and information extraction solutions questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Implement knowledge mining and information extraction solutions exam traps

  • ▸Answering from memory before reading the full scenario.
  • ▸Missing a constraint such as cost, availability, security, scope or command context.
  • ▸Choosing a broad answer when the question asks for the most specific fix.
  • ▸Ignoring why the wrong options are tempting.

Practice set

Implement knowledge mining and information extraction solutions questions

20 questions · select your answer, then reveal the explanation

Question 1mediummultiple choice
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You 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?

Question 2easymultiple choice
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Your team has built a knowledge mining pipeline using Azure AI Search and Document Intelligence. After ingestion, you notice that some documents are not appearing in search results. What is the most likely cause?

Question 3hardmultiple choice
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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?

Question 4mediummultiple choice
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Your knowledge mining solution uses Azure AI Search. Users complain that search results are not relevant. You have enabled semantic search but results still lack context. What should you do to improve relevance?

Question 5easymultiple choice
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You need to extract key-value pairs from a large set of invoices. The invoices have a consistent layout but vary in format (PDF, TIFF). Which Document Intelligence model should you use?

Question 6hardmultiple choice
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Your knowledge mining solution ingests documents from multiple tenants. Each tenant's data must be isolated and searchable only by that tenant. You have a single Azure AI Search service. How should you implement multi-tenancy?

Question 7easymultiple choice
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You are using Azure AI Search to index customer support tickets. You want to automatically extract the customer's sentiment and key phrases from each ticket. Which Azure AI service should you integrate as a skillset?

Question 8mediummultiple choice
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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?

Question 9hardmultiple choice
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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?

Question 10mediummulti select
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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?

Question 11hardmulti select
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Which THREE components are required to build a knowledge mining solution using Azure AI Search that extracts and enriches content from PDF files?

Question 12easymulti select
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Which TWO Azure AI services can be used to extract text from images as part of a knowledge mining pipeline?

Question 13hardmultiple choice
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You are reviewing a skillset definition for an Azure AI Search indexer. The indexer is configured to index 1000 PDF documents. After running the indexer, you notice that only 500 documents have sentiment scores. What is the most likely cause?

Exhibit

Refer to the exhibit.

{
  "name": "my-skillset",
  "description": "Custom skillset",
  "skills": [
    {
      "@odata.type": "#Microsoft.Skills.Text.SplitSkill",
      "context": "/document",
      "textSplitMode": "pages",
      "maximumPageLength": 5000,
      "defaultLanguageCode": "en",
      "inputs": [
        { "name": "text", "source": "/document/content" }
      ],
      "outputs": [
        { "name": "textItems", "targetName": "pages" }
      ]
    },
    {
      "@odata.type": "#Microsoft.Skills.Text.V3.SentimentSkill",
      "context": "/document/pages/*",
      "defaultLanguageCode": "en",
      "inputs": [
        { "name": "text", "source": "/document/pages/*" }
      ],
      "outputs": [
        { "name": "sentiment", "targetName": "sentiment" }
      ]
    }
  ]
}
Question 14mediummultiple choice
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You are reviewing an index definition created with PowerShell. The index is used for a knowledge mining solution that extracts people and organizations from documents. Users report that when they type partial names in the search bar, the suggester does not return suggestions. What is the most likely reason?

Exhibit

Refer to the exhibit.

$index = @{
    name = "knowledge-index"
    fields = @(
        @{name = "id"; type = "Edm.String"; key = $true},
        @{name = "content"; type = "Edm.String"; searchable = $true},
        @{name = "people"; type = "Collection(Edm.String)"; searchable = $true; filterable = $true},
        @{name = "organizations"; type = "Collection(Edm.String)"; searchable = $true; filterable = $true}
    )
    suggesters = @(
        @{name = "sg"; searchMode = "analyzingInfixMatching"; sourceFields = @("content")}
    )
}
Question 15easymultiple choice
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You review the configuration for an Azure AI Search indexer. The indexer runs successfully but no documents are indexed. What is the most likely cause?

Exhibit

Refer to the exhibit.

{
  "dataSource": {
    "name": "blob-datasource",
    "type": "azureblob",
    "credentials": {
      "connectionString": "DefaultEndpointsProtocol=https;AccountName=myaccount;AccountKey=...;EndpointSuffix=core.windows.net"
    },
    "container": {
      "name": "documents"
    }
  },
  "index": {
    "name": "docs-index",
    "fields": [
      {"name":"id","type":"Edm.String","key":true,"searchable":false},
      {"name":"content","type":"Edm.String","searchable":true},
      {"name":"metadata_storage_name","type":"Edm.String","searchable":true}
    ]
  },
  "indexer": {
    "name": "docs-indexer",
    "dataSourceName": "blob-datasource",
    "targetIndexName": "docs-index",
    "parameters": {
      "batchSize": 10,
      "maxFailedItems": -1
    }
  }
}
Question 16mediummultiple choice
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Your organization has a large set of PDF invoices stored in Azure Blob Storage. You need to extract line-item details (product names, quantities, prices) and store them in Azure SQL Database for downstream reporting. The invoices have varied layouts. Which Azure AI service should you use?

Question 17hardmultiple choice
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You are designing a solution to extract customer names and addresses from scanned handwritten forms. The forms are stored as images in Azure Blob Storage. The extraction must achieve high accuracy with minimal manual review. Which combination of Azure AI services should you use?

Question 18easymultiple choice
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You are building an Azure AI Search solution to index a collection of technical manuals. Users need to find documents by searching for specific terms and also have the ability to filter by document category. Which feature should you configure in the index to support filtering?

Question 19mediummultiple choice
Read the full NAT/PAT explanation →

Your organization has a large corpus of legal documents stored in Azure Blob Storage. You need to build a solution that allows lawyers to ask natural language questions and get answers directly from the documents, without moving data out of Azure. Which service should you use?

Question 20hardmultiple choice
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You are using Azure AI Search to index a set of PDF documents. The index includes a 'content' field with the extracted text. Users report that when they search for 'budget forecast', documents containing only 'budget' or 'forecast' are ranked lower than expected. Which configuration change would improve the ranking for multi-word queries?

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Frequently asked questions

What does the AI-102 exam test about Implement knowledge mining and information extraction solutions?
Implement knowledge mining and information extraction solutions questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Implement knowledge mining and information extraction solutions questions in a focused session?
Yes — the session launcher on this page draws every question from the Implement knowledge mining and information extraction solutions domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other AI-102 topics?
Use the topic links above to move to related areas, or go back to the AI-102 question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the AI-102 exam covers. They are not copied from any real exam or dump site.