AI-901テスト対策書 & AI-901合格記

お客様に最も信頼性の高いバックアップを提供するという信念から当社のAI-901試験問題を作成し、優れた結果により、試験受験者の機能に対する心を捉えました。 AI-901練習資料は、3つのバージョンに分類できます。これらのバージョンの使用はすべて、彼らに受け入れられています。これらのバージョンのAI-901模擬練習には大きな格差はありませんが、能力を強化し、レビュープロセスをスピードアップして試験に関する知識を習得するのに役立ちます。そのため、レビュープロセスは妨げられません。

Microsoft AI-901 認定試験の出題範囲：

トピック	出題範囲
トピック 1	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.
トピック 2	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.

>> AI-901テスト対策書 <<

AI-901合格記、AI-901試験参考書

AI-901テストトレントは好評で、すべての献身で99％の合格率に達しました。多くの労働者がより高い自己改善を進めるための強力なツールとして、当社のAI-901認定トレーニングは、高度なパフォーマンスと人間中心のテクノロジーに対する情熱を追求し続けました。 AI-901勉強のトレントを完全に理解するには、Webにアクセスするか、AI-901試験の質問のデモを無料でダウンロードして、AI-901トレーニングの質を試すためにWebPass4Testで提供します。ガイド。

Microsoft Azure AI Fundamentals 認定 AI-901 試験問題 (Q38-Q43):

質問 # 38
You are developing an application that converts text into spoken audio and saves the synthesized audio to a file by using Azure Speech in Foundry Tools.
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:
AudioOutputConfig(filename= " output.wav " )
The question specifically states the application must save the synthesized audio to a file . In the Azure Speech SDK for Python, speechsdk.audio.AudioOutputConfig(filename= " output.wav " ) directs the synthesizer to write the generated speech output directly to a WAV file on disk - which is exactly the requirement.
Why the other options are wrong:
* AudioOutputConfig(stream) - This routes audio output to an in-memory audio stream object, not a file. It is used when you want to process or play the audio programmatically without saving it to disk.
* AudioStreamFormat(wave_stream_format=AudioStreamWaveFormat.PCM) - This class defines the format of an audio stream (e.g., PCM encoding, sample rate). It is used when configuring custom audio streams, not when specifying a file output destination. It is not a valid argument for speechsdk.audio. in this context.
The correct and complete line is:
audio_config = speechsdk.audio.AudioOutputConfig(filename= " output.wav " )

質問 # 39
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:

In Microsoft Foundry Agent Service, tool_choice controls whether and how an agent uses tools during a run.
Statement 1: Yes
Setting tool_choice to auto lets the agent/model decide whether to call a tool. This statement is true.
Statement 2: No
Setting tool_choice to none does not mean the model decides whether to call a tool. It means the model will not call a tool. This statement is false.
Statement 3: Yes
Setting tool_choice to required means the agent must call one or more tools during the run. This statement is true.
Microsoft documentation describes the tool_choice values as follows: auto allows the model to decide whether to call tools, none prevents tool calls, and required forces one or more tool calls.

質問 # 40
You need to build an AI solution that generates marketing email drafts based on a short description of a product and its target audience. Which AI workload should you use?

A. generative AI
B. speech recognition
C. text classification
D. computer vision

正解：A

解説：
Generating marketing email drafts from a short product description and target audience is a content generation task. This is a generative AI workload because the system creates new text based on the user's prompt.

質問 # 41
You are developing a simple application that uses the Microsoft Foundry SDK to send chat prompts to a model.
Which three elements should you provide in the code to run the application? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. credentials
B. the Foundry project display name
C. the task type
D. the endpoint URL
E. the model deployment name

正解：A、D、E

質問 # 42
You have an Azure subscription that uses Azure OpenAI.
You need to create an original image of a rural scene to use on a website.
What should you do?

A. From Azure AI Foundry, deploy a DALL-E model, and provide instructions to create the rural scene.
B. From Microsoft Bing, search the term rural scene?and download the results.
C. From Azure AI Foundry, deploy a GPT-3.5 Turbo model and provide instructions to create the image of the rural scene.
D. From GitHub Copilot, provide instructions to create the image of the rural scene.

正解：A

解説：
Azure OpenAI in Azure AI Foundry Models
Image generation models
The image generation models generate images from text prompts that the user provides. GPT- image-1 is in limited access public preview. DALL-E 3 is generally available for use with the REST APIs. DALL-E 2 and DALL-E 3 with client SDKs are in preview.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models

質問 # 43
......

お客様の暇が少ないので、勉強する時間が少ないことを考えています。AI-901試験資料は便利で、覚えやすいです。また、もう一つの特徴は時間を節約することです。つまり、AI-901試験資料を短い時間で勉強すると、AI-901試験を受けることができます。大切なのはAI-901試験資料の的中率が高いです。

AI-901合格記: https://www.pass4test.jp/AI-901.html