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السؤال #1
You are developing a web app that processes invoices to calculate expenses. You need to extract structured fields, including nested values, from the invoices by using a defined schema. What should you use? The requirement is to extract structured fields, including nested values, from invoices by using a defined schema. In Azure Content Understanding, an analyzer is the processing unit that defines how content is analyzed, what information is extracted, and how the output is structured, including JSON fields. Microsoft's Content Understanding document solutions documentation states that Content Understanding uses customizable analyzers to extract essential information, fields, and relationships from documents and forms. Microsoft's quickstart also shows invoice processing with the prebuilt-invoice analyzer to extract structured data from an invoice document. Why the other options are incorrect: A . transcription workflow in Azure Speech is for converting audio to text, not invoice field extraction. B . OCR-only document processing can extract text but does not meet the requirement for structured fields and nested values by schema. D . Azure AI Search is for indexing and querying content, not defining invoice extraction schemas. Therefore, the correct answer is C. an analyzer in Azure Content Understanding in Foundry Tools.
A. a transcription workflow in Azure Speech in Foundry Tools
B. an optical character recognition (OCR)-only document processing pipeline
C. an analyzer in Azure Content Understanding in Foundry Tools
D. an Azure AI Search service
عرض الإجابة
اجابة صحيحة: C
السؤال #2
You have a Microsoft Foundry project that contains a vision-enabled model deployment.You are developing an application that sends images to the model.You need to ensure that the model can analyze the images.In which two formats can you provide the images? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.
A. a JSON document that describes the image content
B. a UTF-8 encoded text description of the image
C. a publicly accessible URL of the image
D. a base64 encoded image data string
عرض الإجابة
اجابة صحيحة: CD
السؤال #3
You have an Azure subscription.You need to use Azure Content Understanding in Foundry Tools to extract structured data from invoices.What should you provision?
A. an Azure OpenAI resource
B. a Microsoft Foundry resource
C. A Microsoft Foundry project
D. an Azure AI Search service
عرض الإجابة
اجابة صحيحة: B
السؤال #4
Which Azure AI Foundry Service can be used to identify documents that contain sensitive information?
A. zure AI Language
B. zure AI Document Intelligence
C. zure AI Custom Vision
عرض الإجابة
اجابة صحيحة: A
السؤال #5
You have a Microsoft Foundry project that contains a vision-enabled model deployment.You use the Azure OpenAI Responses API to send a prompt to the model.You need to provide an image for analysis.Which content item should you include in the request?
A. image_base64
B. image_generation
C. output_image
D. input_image
عرض الإجابة
اجابة صحيحة: D
السؤال #6
You need to convert written customer notifications into natural-sounding spoken audio that can be played over a phone system.Which Azure Speech in Foundry Tools capability should you use?
A. speaker recognition
B. speech synthesis
C. speech recognition
D. speech translation
عرض الإجابة
اجابة صحيحة: B
السؤال #7
You are developing an application that analyzes voicemail recordings by using Azure Content Understanding in Foundry Tools. You need to extract a transcript and structured information from the recordings. Which type of analyzer should you use?
A. Adocument analyzer
B. Bvideo analyzer
C. Caudio analyzer
D. Dimage analyzer
عرض الإجابة
اجابة صحيحة: C
السؤال #8
You are developing a web app that processes invoices to calculate expenses. You need to extract structured fields, including nested values, from the invoices by using a defined schema. What should you use? The requirement is to extract structured fields, including nested values, from invoices by using a defined schema. In Azure Content Understanding, an analyzer is the processing unit that defines how content is analyzed, what information is extracted, and how the output is structured, including JSON fields. Microsoft's Content Understanding document solutions documentation states that Content Understanding uses customizable analyzers to extract essential information, fields, and relationships from documents and forms. Microsoft's quickstart also shows invoice processing with the prebuilt-invoice analyzer to extract structured data from an invoice document. Why the other options are incorrect: A . transcription workflow in Azure Speech is for converting audio to text, not invoice field extraction. B . OCR-only document processing can extract text but does not meet the requirement for structured fields and nested values by schema. D . Azure AI Search is for indexing and querying content, not defining invoice extraction schemas. Therefore, the correct answer is C. an analyzer in Azure Content Understanding in Foundry Tools.
A. a transcription workflow in Azure Speech in Foundry Tools
B. an optical character recognition (OCR)-only document processing pipeline
C. an analyzer in Azure Content Understanding in Foundry Tools
D. an Azure AI Search service
عرض الإجابة
اجابة صحيحة: C
السؤال #9
You are using the Azure Speech SDK to develop a Python application that supports real-time spoken conversations.Which Azure Speech class should you use to configure the connection to the Azure Speech service?
A. AudioOutputConfig
B. SpeechSynthesizer
C. AudioConfig
D. SpeechConfig
عرض الإجابة
اجابة صحيحة: D
السؤال #10
What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.
A. defines constraints on the model's responses
B. defines the agent's role and behavior
C. defines the Azure region where inference occurs
D. selects which model to use
E. defines the tokens per minute (TPM) allocation for the model
عرض الإجابة
اجابة صحيحة: AB
السؤال #11
You have a Microsoft Foundry project that contains a vision-enabled model deployment.You use the Azure OpenAI Responses API to send a prompt to the model.You need to provide an image for analysis.Which content item should you include in the request?
A. image_base64
B. image_generation
C. output_image
D. input_image
عرض الإجابة
اجابة صحيحة: D
السؤال #12
You need to create an AI agent in Microsoft Foundry that follows a specific role and behavior when responding to users.What should you configure?
A. system instructions
B. temperature
C. tokens per minute (TPM)
D. max completion tokens
عرض الإجابة
اجابة صحيحة: A
السؤال #13
You are developing an application that extracts fields from PDFs by using Azure Content Understanding in Foundry Tools.You need to use the Python SDK to submit a PDF for analysis and retrieve the extraction results.What should you do?
A. Call begin_analyze(), and then call poller
B. Submit the PDF to an analyzer and read the results from the request headers
C. Use optical character recognition (OCR) to extract text from the PDF and map the fields in the code
D. Call analyze() to return the extracted fields synchronously in the same request
عرض الإجابة
اجابة صحيحة: A
السؤال #14
You need to create an AI agent in Microsoft Foundry that follows a specific role and behavior when responding to users.What should you configure?
A. system instructions
B. temperature
C. tokens per minute (TPM)
D. max completion tokens
عرض الإجابة
اجابة صحيحة: A
السؤال #15
You are developing a web app that processes invoices to calculate expenses.You need to extract structured fields, including nested values, from the invoices by using a defined schema.What should you use?
A. an optical character recognition (OCR)-only document processing pipeline
B. a transcription workflow in Azure Speech in Foundry Tools
C. an analyzer in Azure Content Understanding in Foundry Tools
D. an Azure AI Search service
عرض الإجابة
اجابة صحيحة: C
السؤال #16
You are developing an application that processes voicemail recordings by using Azure Content Understanding in Foundry Tools. Which feature does Azure Content Understanding use to convert audio to text? Azure Content Understanding uses transcription to convert audio content, such as voicemail recordings, into text. Microsoft's Azure Content Understanding audio documentation states that transcription converts conversational audio into searchable and analyzable text-based transcripts. Option A. Voice Live is not the feature used by Content Understanding to convert voicemail recordings into text. Option B. key phrase extraction identifies important phrases after text is available; it is not the audio-to-text conversion step. Option D. optical character recognition (OCR) is for extracting text from images or documents, not audio. Therefore, the correct answer is C. transcription.
A. Voice Live
B. key phrase extraction
C. transcription
D. optical character recognition (OCR)
عرض الإجابة
اجابة صحيحة: C
السؤال #17
You need to create an AI agent in Microsoft Foundry that follows a specific role and behavior when responding to users.What should you configure?
A. ystem instructions
B. emperature
C. okens per minute (TPM)
D. ax completion tokens
عرض الإجابة
اجابة صحيحة: A
السؤال #18
You are building an app that sends prompts to a model in Microsoft Foundry.
A. a deployed model endpoint
B. a sentiment analysis project
C. a Content Understanding schema
D. a speech synthesis voice
عرض الإجابة
اجابة صحيحة: A
السؤال #19
You need to convert typed appointment reminders into natural-sounding audio for a phone notification system.
A. speaker recognition
B. speech translation
C. speech recognition
D. speech synthesis
عرض الإجابة
اجابة صحيحة: D
السؤال #20
You are using the Azure Speech SDK to develop a Python application that supports real-time spoken conversations.Which Azure Speech class should you use to configure the connection to the Azure Speech service?
A. AudioOutputConfig
B. SpeechSynthesizer
C. AudioConfig
D. SpeechConfig
عرض الإجابة
اجابة صحيحة: D
السؤال #21
You are developing an AI-powered customer support application.Which task is an example of the Microsoft responsible AI principle of inclusiveness?
A. Provide explanations about how predictions are generated
B. Design the interface to support multiple languages and screen readers
C. Evaluate model outputs across demographic groups to reduce bias
D. Encrypt stored customer data and restrict access by using role-based controls
عرض الإجابة
اجابة صحيحة: B
السؤال #22
You are developing a web app that processes invoices to calculate expenses.You need to extract structured fields, including nested values, from the invoices by using a defined schema.What should you use?
A. a transcription workflow in Azure Speech in Foundry Tools
B. an optical character recognition (OCR)-only document processing pipeline
C. an analyzer in Azure Content Understanding in Foundry Tools
D. an Azure AI Search service
عرض الإجابة
اجابة صحيحة: C
السؤال #23
You are creating an app to help employees write emails and reports based on user prompts.What should you use?
A. zure Machine Learning studio
B. zure AI Vision
C. zure OpenAI Service
D. zure AI Speech
عرض الإجابة
اجابة صحيحة: C
السؤال #24
What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution.Note: Each correct selection is worth one point.
A. defines the agent’s role and behavior
B. selects which model to use
C. defines the Azure region where inference occurs
D. defines the tokens per minute (TPM) allocation for the model
E. defines constraints on the model’s responses
عرض الإجابة
اجابة صحيحة: AE
السؤال #25
You are developing a web app that processes invoices to calculate expenses.You need to extract structured fields, including nested values, from the invoices by using a defined schema.What should you use?
A. an optical character recognition (OCR)-only document processing pipeline
B. a transcription workflow in Azure Speech in Foundry Tools
C. an analyzer in Azure Content Understanding in Foundry Tools
D. an Azure AI Search service
عرض الإجابة
اجابة صحيحة: C

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