AI-102 Implement knowledge mining and information extraction solutions Practice Test 7 — 15 Questions

Question 1

You are deploying a knowledge mining solution using Azure AI Search and Azure AI Document Intelligence. The solution must extract text from scanned documents, identify named entities, and index the content. You need to configure the skillset. Which TWO built-in skills should you include in the skillset?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

OCR skill. The OCR skill extracts text from scanned images. The EntityRecognition skill identifies named entities. The Merge skill is not required because OCR output is already text. The KeyPhraseExtraction skill extracts key phrases, not entities. The LanguageDetection skill detects language, not entities.

Answer

Merge skill

Answer

LanguageDetection skill

Answer

KeyPhraseExtraction skill

Question 2

You are using Microsoft Purview to create a knowledge map of your organization's data assets. The solution must automatically scan and classify sensitive data in Azure Blob Storage. You need to configure the scanning and classification. Which THREE actions should you perform?

Accepted Answer

Run a full scan of the Blob Storage to discover and classify data.. Running a full scan of Azure Blob Storage in Microsoft Purview is the mechanism that discovers and classifies sensitive data. A full scan examines all files and metadata, applying the configured classification rules to identify sensitive information types such as credit card numbers or social security numbers. This action is essential for populating the knowledge map with classified data assets.

Answer

Create custom classification rules for sensitive data types.

Answer

Apply sensitivity labels to the classified data.

Question 3

You have an Azure AI Search skillset defined as shown in the exhibit. When you run the indexer, the enrichment pipeline produces outputs but no entities are extracted. The source documents are in English and contain clear organization and person names. What is the most likely cause?

Accepted Answer

The '/document/content' field is an array, but the skill expects a string.. The most likely cause is that the '/document/content' field is an array, but the Entity Recognition skill expects a string input. In Azure AI Search, if the source field is an array, the skill cannot process it directly, resulting in no entities being extracted even though the documents contain clear organization and person names.

Answer

The skill output is not mapped to the index.

Answer

The skills are in the wrong order.

Answer

The documents are not in English.

Question 4

You have an Azure AI Search index defined as shown in the exhibit. Users want to filter search results by author and by a date range, and also see a count of documents per tag. However, the filter on author is not working. What is the most likely reason?

Accepted Answer

The filter expression uses incorrect OData syntax.. The most likely reason the filter on author is not working is an incorrect OData syntax in the filter expression. Since the exhibit shows the 'author' field is marked as filterable, the index definition itself is correct. However, if the filter uses invalid syntax (e.g., incorrect operator, missing quotes, or malformed date comparison), the filter will fail. Option B is incorrect because the 'id' field's role as a key is unrelated to filtering on 'author'. Option C is incorrect because the 'author' field is filterable as shown in the exhibit. Option D is incorrect because the '$orderby' parameter does not conflict with filters; they can be used together.

Answer

The 'id' field is not used as the key.

Answer

The 'author' field is not set as filterable in the index definition.

Answer

The query uses a $orderby parameter that conflicts with the filter.

Question 5

You have configured an Azure AI Search indexer with a Cosmos DB data source as shown in the exhibit. The indexer runs successfully, but you notice that the index is missing some documents that were recently added to Cosmos DB. What is the most likely cause?

Accepted Answer

The high water mark is not being updated correctly, causing some documents to be skipped.. The most likely cause is that the high water mark (the _ts value) is not being updated correctly, causing the indexer to skip documents that were recently added. Azure AI Search uses a high water mark strategy to track changes from Cosmos DB, and if the _ts value is not properly recorded or the indexer's change tracking logic fails, new documents may be missed even though the indexer runs successfully.

Answer

The indexer is not configured to track changes using _ts.

Answer

The container name is misspelled.

Answer

The query does not select all fields required by the index.

Question 6

You are building a knowledge mining solution for legal documents stored in Azure Blob Storage. The solution must extract entities, key phrases, and relationships from the documents. Which Azure AI service should you use?

Accepted Answer

Azure AI Language. Azure AI Language provides pre-built capabilities for entity extraction, key phrase extraction, and relationship extraction from text. This service includes features like Named Entity Recognition (NER), key phrase extraction, and document analysis that directly meet the requirements for extracting entities, key phrases, and relationships from legal documents. The other options lack one or more of these specific text analytics capabilities.

Answer

Azure AI Document Intelligence

Answer

Azure AI Translator

Answer

Azure AI Search

Question 7

Your knowledge mining solution uses Azure AI Search with a custom skill that calls an Azure Function to perform complex data validation. The custom skill returns an error for some documents, but the indexer continues without raising an error. What is the most likely cause?

Accepted Answer

The indexer is configured with 'allowSkillsetToExecuteIfError' set to true.. By default, indexers continue on error. To stop on skill errors, set 'allowSkillsetToExecuteIfError' to false. The indexer treats skill errors as warnings by default.

Answer

The indexer is configured with 'allowSkillsetToExecuteIfError' set to false.

Answer

The Azure Function returns HTTP 200 with an error message in the body.

Answer

The custom skill's output field mapping is incorrect.

Question 8

You are designing a knowledge mining solution for customer support emails. The solution must extract the customer's name, issue category, and sentiment from each email. Which two Azure AI services should you combine?

Accepted Answer

Azure AI Language and Azure AI Search. Azure AI Language provides entity extraction and sentiment analysis. Azure AI Search indexes the extracted data for search. The other services are not directly needed for extraction and indexing.

Answer

Azure AI Bot Service and Azure AI Language

Answer

Azure AI Document Intelligence and Azure AI Search

Answer

Azure AI Translator and Azure AI Language

Question 9

You have the above skillset in Azure AI Search. The indexer processes a document with 12,000 characters of content. How many entity recognition skill executions occur?

Accepted Answer

3. The Azure AI Search entity recognition skill has a maximum text length per execution of 5,000 characters. A document with 12,000 characters is split into chunks of up to 5,000 characters, resulting in three chunks (5,000 + 5,000 + 2,000). Each chunk triggers one skill execution, so three executions occur.

Answer

4

Answer

2

Answer

1

Question 10

Your knowledge mining pipeline uses Azure AI Search to index PDF files. You need to extract text from the PDFs and also recognize embedded tables. Which built-in skill should you use?

Accepted Answer

Document Extraction skill. The Document Extraction skill is designed to extract text from binary files such as PDFs. However, it does not natively extract embedded tables as structured data. For table recognition, you would typically need additional processing, such as using the OCR skill for image-based tables or integrating Azure Document Intelligence. Therefore, among the provided options, Document Extraction is the most relevant for text extraction but does not fully address table recognition without supplementary steps.

Answer

OCR skill

Answer

Custom Web API skill

Answer

Entity Recognition skill

Question 11

Which TWO options are valid ways to index content from Azure SQL Database into Azure AI Search? (Select TWO.)

Accepted Answer

Use the Push API to send data directly to the search index.. Azure AI Search supports indexing from SQL Database using either a SQL Server indexer or a push API. Data Factory and Event Hubs are not direct indexers for SQL.

Answer

Use Azure Data Factory to copy data to Blob Storage, then index from Blob.

Answer

Use Azure AI Document Intelligence to extract data and push to index.

Answer

Use Azure Event Hubs to stream data into the search index.

Question 12

You run the Azure CLI command 'az search indexer list --search-service mysearch --query "[].{name:name, status:status, lastResult:lastResult}"' and get the above output. Your indexer shows 5 warnings. What should you do to investigate the warnings?

Accepted Answer

Run 'az search indexer show --name myindexer' and review the 'warnings' array in the output.. The 'az search indexer list' command with the query you used returns a summary of indexer status and last result, but it does not include the detailed 'warnings' array. To investigate the 5 warnings, you need to use 'az search indexer show --name myindexer', which returns the full indexer execution history, including a 'warnings' array that lists each warning with its message and details. This allows you to understand the nature of each warning and take corrective action if needed.

Answer

Run 'az search indexer run --name myindexer' to trigger a new run.

Answer

Ignore the warnings because they are not errors.

Answer

Run 'az search indexer reset --name myindexer' to reset the indexer.

Question 13

Your organization uses Azure AI Search to index customer product reviews. The reviews are in English, Spanish, and French. You need to enable multi-lingual search so that a query in English returns relevant results from all three languages. What should you do?

Accepted Answer

Create separate search fields for each language, each with the corresponding language analyzer (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft').. Azure AI Search supports language-specific analyzers (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft') that apply linguistic rules like stemming, lemmatization, and stop-word removal tailored to each language. By creating separate search fields with the corresponding analyzer, a query in English can match relevant terms across all three languages because the search engine evaluates the query against each field using its analyzer, allowing cross-language retrieval without translation.

Answer

Use Azure AI Translator to translate all reviews to English before indexing.

Answer

Use a single field with the 'standard' analyzer for all languages.

Answer

Use the 'keyword' analyzer for all fields.

Question 14

You need to enrich documents with key phrases and sentiment before indexing into Azure AI Search. Which type of skill should you use?

Accepted Answer

Cognitive Services skill. Key phrase extraction and sentiment analysis are cognitive skills available in the Azure AI Language service. The Cognitive Services skill references a Cognitive Services resource that provides these capabilities.

Answer

Entity Recognition skill

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Document Extraction skill

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Custom Web API skill

Question 15

Which THREE conditions must be met for Azure AI Search to use a custom skill? (Select THREE.)

Accepted Answer

The custom skill must handle batch requests of up to 1000 records per call.. Azure AI Search custom skills must be capable of processing batch requests containing up to 1000 records per call. This requirement ensures efficient indexing by allowing the search service to send multiple documents in a single HTTP request, reducing latency and overhead. The skill's endpoint must accept and return an array of records, with each record processed independently.

Answer

The custom skill must be stateless.

Answer

The custom skill must be hosted in an Azure Function.