AI-901 Most Reliable Questions, Exam AI-901 Online

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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
Topic 2
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.

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Microsoft Azure AI Fundamentals Sample Questions (Q63-Q68):

NEW QUESTION # 63
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?

Answer: C

Explanation:
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 .


NEW QUESTION # 64
Your company has thousands of recorded customer support calls in multiple languages stored as audio files in Azure Storage.
You need to generate text transcripts of all the recordings.
Which Azure Speech in Foundry Tools capability should you use?

Answer: B

Explanation:
For this scenario, you should use the Speech-to-Text Batch Transcription feature in Azure AI Speech. It is specifically built to asynchronously transcribe large volumes of prerecorded audio files from Azure Blob Storage concurrently, reducing your overall turnaround time.
To address the requirement for multiple languages without knowing the language of each call in advance, you should configure the service to use an Automatic Multilingual Configuration (a multilingual model). This allows the Speech service to automatically detect and transcribe multiple spoken languages without requiring you to split files or submit language-specific requests.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/audio/overview


NEW QUESTION # 65
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 66
Hotspot Question
You deploy a model named gpt-image-1 in Microsoft Foundry.
You need to ensure that an application can generate an image from a user prompt by using the OpenAI Images API.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box: images.create
images.create is the correct method provided by the OpenAI Images API client structure (and its compatible endpoints) to handle image generation tasks based on a text prompt.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/responses


NEW QUESTION # 67
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 68
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