You have an Azure subscription.
You need to deploy an Azure AI Search resource that will recognize geographic locations.
Which built-in skill should you include in the skillset for the resource?
A. AzureOpenAIEmbeddingSkill
B. DocumentExtractionSkill
C. EntityRecognitionSkill
D. EntityLinkingSkill
Show Answer
Correct Answer: C
Explanation: To recognize geographic locations, you need a skill that extracts entities such as locations, people, and organizations from text. The built-in EntityRecognitionSkill is designed for this purpose and supports location (geographic) entities, making it the correct choice.
Question 13
You have an Azure subscription that contains an Azure AI Document Intelligence resource named AIdoc1 in the S0 tier.
You have the files shown in the following table.
You need to train a custom extraction model by using AIdoc1.
Which files can you upload to Document Intelligence Studio?
A. File1, File2, and File4 only
B. File2, and File5 only
C. File2, File4, and File5 only
D. File1, File2, File3, File4, and File5
E. File1 and File2 only
Show Answer
Correct Answer: E
Explanation: Azure AI Document Intelligence supports image formats (JPG, PNG, TIFF) and PDFs, but not Office files like XLSX. Password-protected PDFs are not supported because the service cannot access encrypted content. For the S0 tier, files up to 500 MB are supported. Therefore:
- File1 (JPG, 400 MB): Supported format and size ✅
- File2 (PDF, 250 MB): Supported format and size ✅
- File3 (PNG, 600 MB): Exceeds 500 MB limit ❌
- File4 (XLSX): Unsupported format ❌
- File5 (Password-protected PDF): Not supported ❌
Thus, only File1 and File2 can be uploaded.
Question 14
You have a local folder that contains the files shown in the following table.
You need to analyze the files by using Azure AI Video Indexer.
Which files can you upload to the Video Indexer website?
A. File1 and File3 only
B. File1, File2, File3 and File4
C. File1, File2, and File3 only
D. File1 and File2 only
E. File1, File2, and File4 only
Show Answer
Correct Answer: B
Explanation: Azure AI Video Indexer supports WMV, AVI, MOV, and MP4 formats. For uploads from a local device, the size limit is 2 GB and the duration limit is up to 6 hours (360 minutes). All four files are in supported formats, are under 2 GB in size, and have durations within the 6-hour limit, so all can be uploaded.
Question 15
You have an Azure AI Search resource named Search1.
You have an app named App1 that uses Search1 to index content.
You need to add a custom skill to App1 to ensure that the app can recognize and retrieve properties from invoices by using Search1.
What should you include in the solution?
A. Azure AI Immersive Reader
B. Azure OpenAI
C. Azure AI Document Intelligence
D. Azure AI Custom Vision
Show Answer
Correct Answer: C
Explanation: To recognize and extract structured properties from invoices (such as invoice number, dates, totals, and vendor details) within an Azure AI Search indexing pipeline, you need a service designed for document and form analysis. Azure AI Document Intelligence (formerly Form Recognizer) provides prebuilt invoice models and integrates as a custom skill with Azure AI Search, enabling extraction and indexing of invoice fields for search and retrieval.
Question 16
HOTSPOT
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You have an Azure subscription that contains an Azure AI Video Indexer account.
You need to add a custom brand and logo to the indexer and configure an exclusion for the custom brand.
How should you complete the REST API call? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: enabled
false
Explanation: In Azure AI Video Indexer, the **enabled** property controls inclusion or exclusion. Setting **enabled: false** places the custom brand in the Excluded list so it will not be detected during indexing, which satisfies the requirement to configure an exclusion.
Question 17
HOTSPOT
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You have an Azure subscription.
You plan to build a solution that will analyze scanned documents and export relevant fields to a database.
You need to recommend which Azure AI service to deploy for the following types of documents:
• Internal expenditure request authorization forms
• Supplier invoices
The solution must minimize development effort.
What should you recommend for each document type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Internal expenditure request authorization forms:
Azure AI Document Intelligence – Custom model
Supplier invoices:
Azure AI Document Intelligence – Prebuilt Invoice model
Explanation: Internal expenditure request forms are organization-specific, so a custom Document Intelligence model minimizes development while accurately extracting required fields. Supplier invoices follow standard formats, so the prebuilt Invoice model can extract common fields with minimal effort.
Question 18
You have an Azure subscription that contains an Azure OpenAI resource named AI1 and a user named User1.
You need to ensure that User1 can perform the following actions in Azure OpenAI Studio:
• Identify resource endpoints.
• View models that are available for deployment.
• Generate text and images by using the deployed models.
The solution must follow the principle of least privilege.
Which role should you assign to User1?
A. Cognitive Services OpenAI User
B. Cognitive Services Contributor
C. Contributor
D. Cognitive Services OpenAI Contributor
Show Answer
Correct Answer: A
Explanation: The Cognitive Services OpenAI User role grants permission to discover the Azure OpenAI resource endpoint, view available models, and use Azure OpenAI Studio playgrounds to generate text and images with already deployed models. It does not allow resource management or deployment changes, making it the least-privilege role that satisfies all the stated requirements.
Question 19
You have an Azure subscription that contains an Azure OpenAI resource named OpenAI1 and a user named User1.
You need to ensure that User1 can upload datasets to OpenAI1 and finetune the existing models. The solution must follow the principle of least privilege.
Which role should you assign to User1?
A. Cognitive Services OpenAI Contributor
B. Cognitive Services Contributor
C. Cognitive Services OpenAI User
D. Contributor
Show Answer
Correct Answer: A
Explanation: Uploading datasets and fine-tuning models require management permissions specific to Azure OpenAI. The Cognitive Services OpenAI Contributor role grants the necessary fine-tuning and dataset upload capabilities while avoiding broader permissions granted by generic Contributor roles, thus adhering to least privilege.
Question 20
You have an Azure subscription that contains an Azure OpenAI resource named AI1.
You build a chatbot that uses AI1 to provide generative answers to specific questions.
You need to ensure that questions intended to circumvent built-in safety features are blocked.
Which Azure AI Content Safety feature should you implement?
A. Monitor online activity
B. Jailbreak risk detection
C. Moderate text content
D. Protected material text detection
Show Answer
Correct Answer: B
Explanation: The requirement is to block attempts to bypass or circumvent built-in safety features of Azure OpenAI models. The Azure AI Content Safety feature designed for this purpose is Jailbreak risk detection, now branded as Prompt Shields. It detects user prompts intended to override safeguards or manipulate the model into producing unsafe outputs. Other options focus on general moderation, copyright protection, or activity monitoring, not jailbreak attempts.
Question 21
HOTSPOT
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You have an Azure subscription that contains an Azure AI Content Safety resource.
You are building a social media app that will enable users to share images.
You need to configure the app to moderate inappropriate content uploaded by the users.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Explanation: Azure AI Content Safety image moderation uses ContentSafetyClient, and images are analyzed by calling AnalyzeImage with AnalyzeImageOptions.
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