AI-901過去問無料、AI-901認証試験

It-Passportsテストトレントを学習し、試験の準備をするのに20〜30時間しかかかりません。 AI-901試験問題を購入した後、AI-901試験トレントを学習し、主に仕事、家庭生活、学習に専念するために数時間を費やすだけです。 AI-901試験問題の回答と質問は入念に選択され、試験の焦点をつかむため、試験の学習と準備に多くの時間を節約できます。合格率は98％以上と高いため、AI-901ガイドトレントを購入することで安心できます。

Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Passing Score:700 / 1000
Exam Format:Multiple select, Drag and drop, Match the service to use case, Scenario-based, Multiple choice
Exam Price:USD 99
Related Certifications:Microsoft Certified: Azure AI Fundamentals
Real Exam Qty:40-60
Available Languages:English, German, Italian, Chinese (Traditional), Korean, Russian, Portuguese (Brazil), French, Chinese (Simplified), Spanish, Japanese, Indonesian (Indonesia), Arabic (Saudi Arabia)
Exam Duration:45-60
Certificate Validity Period:1 year (renewable via free online assessment on Microsoft Learn)
Sample Questions:Microsoft AI-901 Sample Questions
Exam Way:Online (remote proctored via Pearson VUE) or at a Pearson VUE test center
Pre Condition:No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900

>> AI-901過去問無料 <<

AI-901認証試験、AI-901勉強ガイド

It-PassportsのITの専門研究者はMicrosoft AI-901認証試験の問題と解答を研究して、彼らはあなたにとても有効な訓練試験オンラインサービスツールを提供します。もしあなたはIt-Passportsの製品を購入したければ弊社が詳しい問題集を提供して、君にとって完全に準備します。弊社のIt-Passports商品を安心に選択してIt-Passports試験に100%合格しましょう。

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
  • 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.
トピック 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.

Microsoft Azure AI Fundamentals 認定 AI-901 試験問題 (Q71-Q76):

質問 # 71
You are explaining generative AI workflows to a colleague. What is the first step of a generative AI workflow?

正解：D

解説：
Training a generative AI model using data is a foundational step in the workflow, but it is preceded by data collection and preparation. After the model is trained, subsequent steps involve validation, generation, and refinement.
Steps in a generative AI workflow
1. Data Gathering: Collect a massive, relevant dataset (images, text, audio, etc.) that will be used for training.
2. Data Preparation: Clean and preprocess the raw data. This includes removing errors, standardizing formats, and structuring the data so the model can comprehend it.
*-> 3. Model Training: Feed the prepared data into the model. During this stage, the model learns patterns and relationships within the data to understand how to create new content.
4. Model Validation: Test the model on a separate set of data to evaluate its performance and accuracy.
5. Content Generation: Use the trained and validated model to create new content based on prompts.
6. Refinement: Fine-tune the model using human feedback or additional data to improve its output and address specific tasks.
Reference:
https://www.tricension.com/domainai/proper-training-for-generative-ai/


質問 # 72
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 # 73
In the Microsoft Foundry portal, you create an agent named Agent1, and then deploy the agent.
You open the Foundry playground to test Agent1.
What does the playground use to ensure that the tests reflect production behavior?

正解：D


質問 # 74
Select the answer that correctly completes the sentence.

正解：

解説：

Explanation:

The completed sentence is:
When developing an AI system for self-driving cars, the Microsoft reliability and safety principle for responsible AI should be applied to ensure consistent operation of the system during use.
Self-driving cars are safety-critical AI systems. The key requirement in the question is consistent operation of the system during use , which maps directly to the Microsoft responsible AI principle of reliability and safety .
The other options are incorrect:
Fairness focuses on reducing bias and treating people equitably.
Accountability focuses on ensuring people remain responsible for AI systems and their outcomes.
Inclusiveness focuses on designing AI systems that work for and empower diverse users, including people with different needs or abilities.
Therefore, the correct answer is reliability and safety .


質問 # 75
Select the answer that correctly complete the sentence.

正解：

解説：


質問 # 76
......

AI-901認証試験: https://www.it-passports.com/AI-901.html