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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify AI concepts and responsibilities | 40-45% | - Identify AI concepts and features
|
| Topic 2: Implement AI solutions by using Microsoft Foundry | 55-60% | - Work with models in Microsoft Foundry
|
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問題 #89
Capturing text from images is an example of which type of AI capability?
答案：C
解題說明：
Capturing text from images is the exact definition of optical character recognition (OCR).
How OCR Works
Image input: Software takes a photo, scan, or graphic containing letters.
Shape analysis: It scans the pixels to find light and dark areas that match letters or numbers.
Text output: It changes the visual shapes into real, editable digital text.
Reference:
https://en.wikipedia.org/wiki/Optical_character_recognition
問題 #90
You are developing an application that analyzes invoices by using Azure Content Understanding in Foundry Tools.
You have a custom analyzer named invoiceAnalyzer.
You need to use the analyzer to process invoice files.
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.
答案：
解題說明：
Explanation:
The correct parameter is analyzer_id. The Azure AI Content Understanding Python SDK uses the ContentUnderstandingClient.begin_analyze() method to submit content for processing. Microsoft defines the method signature with analyzer_id as the required identifier that specifies which analyzer should process the supplied input.
Therefore, the code should be completed as:
poller = client.begin_analyze(analyzer_id= " invoiceAnalyzer " , ...)
A custom analyzer encapsulates the configuration that determines how Content Understanding interprets the source content and which fields or structured information it extracts. Because the analyzer has already been created with the name invoiceAnalyzer, that value is supplied through analyzer_id when the analysis operation begins.
extraction_type is not the parameter used to select an analyzer. model_name would refer conceptually to an underlying AI model, but Content Understanding analysis is invoked through an analyzer abstraction rather than by specifying a model directly. Likewise, schema_id does not identify the analyzer to execute.
Microsoft ' s custom-analyzer guidance explicitly demonstrates client.begin_analyze (analyzer_id=analyzer_id, inputs=[...]), confirming the required SDK pattern
問題 #91
Hotspot Question
Select the answer that correctly completes the sentence.
答案：
解題說明：
Explanation:
Box: reliability and safety
When developing an AI system for self-driving cars, the Microsoft __________ principle for responsible AI should be applied to ensure consistent operation of the system during its lifespan.
The Microsoft Reliability and Safety principle for responsible AI should be applied to self-driving cars to ensure consistent operation and mitigate risks. This principle mandates that AI systems must be developed to be dependable and perform as intended, even when facing unexpected situations, making it crucial for a system where a minor error could have severe outcomes.
Consistent operation: Self-driving car AI must operate reliably and consistently under both normal and unexpected conditions.
Robust safety measures: The principle requires rigorous testing and validation to ensure the system responds safely to edge cases and avoids unexpected performance failures.
Preventing harm: The goal is to avoid creating harm by developing the system in alignment with its design ideas and values, which includes resisting manipulation.
Reference:
https://support.microsoft.com/en-us/topic/what-is-responsible-ai-33fc14be-15ea-4c2c-903b-aa493f5b8d92
問題 #92
Which type of Azure AI workload should you use to create illustrations based on the text of an article?
答案：A
解題說明：
Using generative AI is a fast and effective way to create illustrations from an article text. Tools like DALL-E 3, Midjourney, and Stable Diffusion can turn written words into custom pictures in seconds.
How to Do It
Copy the main text or a key paragraph from your article.
Write a short prompt that describes the mood, style, and main subject.
Paste your prompt into an AI image tool to generate the art.
Pick the best image and download it for your post.
Reference:
https://dl.gi.de/bitstreams/4d7d68a5-2e94-4994-9f8f-c5119abccd5e/download
問題 #93
You have a Python application that extracts fields from invoices by using Azure Content Understanding in Foundry Tools You submit a PDF for analysts.
What should the application do to retrieve the results?
答案：D
解題說明：
Azure Content Understanding analysis operations are asynchronous long-running operations. Microsoft's Python SDK documentation states that analysis starts with a begin operation, then the application polls for results until analysis completes.
Therefore, after submitting the PDF for analysis, the application should poll the operation results until the asynchronous analysis job succeeds .
問題 #94
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