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| Section | Weight | Objectives |
|---|---|---|
| Identify AI concepts and responsibilities | 40-45% | - Identify AI model components and configurations
|
| Implement AI solutions by using Microsoft Foundry | 55-60% | - Work with models in Microsoft Foundry
|
学習への関心を高めるには学習者に学習のための良い鍵を与えることが必要であり、これは学習者の内部要因の積極的な発達を促進することです。 AI-901質問トレントの最大の機能は、お客様が優れた学習習慣を身に付け、学習への関心を高め、簡単に試験に合格し、AI-901認定を取得できるようにすることです。候補者のために高品質の製品を生産するために、当社のすべての労働者が協力しています。私たちのAI-901試験トレントはあなたの将来にとって非常に役立つと信じています。
質問 # 72
Capturing text from images is an example of which type of Al capability?
正解：D
質問 # 73
Hotspot Question
Select the answer that correctly completes the sentence.
正解：
解説：
質問 # 74
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.
正解：
解説：
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
質問 # 75
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: No
No, relying on a single method of user input does not provide an inclusive experience. True inclusivity requires supporting multiple interaction modes-such as text, voice, touch, and keyboard navigation-because a single-mode interface inevitably excludes users with specific physical, sensory, cognitive, or situational constraints.
Box 2: No
No, simply increasing the overall number of users does not automatically support an inclusive experience. Inclusive design requires that an AI system actively works for people of all backgrounds, abilities, and identities. High user volume can mask deep gaps where certain groups are left out or harmed.
Box 3: Yes
Designing an AI system for different languages supports inclusiveness by breaking down communication barriers, helping people access information easily, and making everyone feel welcome.
Equal Access: Everyone gets the same chance to use the system.
Clear Choices: Users can pick the language they know best.
Fair Treatment: No one is left out because of how they speak or write.
Reference:
https://www.mindinventory.com/blog/website-accessibility-best-practices/
質問 # 76
Based on the image provided, here is the transcribed text:
You need to build an AI solution that produces new product images based on written descriptions provided by users.
Which AI workload should you use?
正解：C
解説：
The requirement is to produce new product images based on written descriptions. This is an image generation workload, because the AI system is creating entirely new images from natural language prompts.
Why the other options are incorrect:
B . image analysis is used to examine and interpret existing images.
C . object detection is used to identify and locate objects within an existing image.
D . optical character recognition (OCR) is used to extract text from images or scanned documents.
Since the solution must generate new visual content from user-provided descriptions, the correct answer is:
A . image generation
質問 # 77
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AI-901認定試験の資格を取得するのは容易ではないことは、すべてのIT職員がよくわかっています。しかし、AI-901認定試験を受けて資格を得ることは自分の技能を高めてよりよく自分の価値を証明する良い方法ですから、選択しなければならならないです。ところで、受験生の皆さんを簡単にIT認定試験に合格させられる方法がないですか。もちろんありますよ。CertJukenの問題集を利用することは正にその最良の方法です。CertJukenはあなたが必要とするすべてのAI-901参考資料を持っていますから、きっとあなたのニーズを満たすことができます。CertJukenのウェブサイトに行ってもっとたくさんの情報をブラウズして、あなたがほしい試験AI-901参考書を見つけてください。
AI-901日本語版問題集: https://www.certjuken.com/AI-901-exam.html