PassTIP는 여러분을 성공으로 가는 길에 도움을 드리는 사이트입니다. PassTIP에서는 여러분이 안전하게 간단하게Microsoft인증AI-901시험을 패스할 수 있는 자료들을 제공함으로 빠른 시일 내에 IT관련지식을 터득하고 한번에 시험을 패스하실 수 있습니다.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Format: | Scenario-based, Multiple choice, Multiple select, Match the service to use case, Drag and drop |
| Exam Price: | USD 99 |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Passing Score: | 700 / 1000 |
| Available Languages: | Japanese, Chinese (Simplified), French, Spanish, Portuguese (Brazil), Korean, German, Indonesian (Indonesia), English, Italian, Chinese (Traditional), Arabic (Saudi Arabia), Russian |
| Exam Duration: | 45-60 |
| 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 |
최근 더욱 많은 분들이Microsoft인증AI-901시험에 도전해보려고 합니다. PassTIP에서는 여러분들의 시간돠 돈을 절약해드리기 위하여 저렴한 가격에 최고의 품질을 지닌 퍼펙트한Microsoft인증AI-901시험덤플르 제공해드려 고객님의 시험준비에 편안함을 선물해드립니다. PassTIP제품을 한번 믿어보세요.
| 주제 | 소개 |
|---|---|
| 주제 1 |
|
| 주제 2 |
|
질문 # 71
Which action can be performed by using the Azure Vision in Foundry Tools service?
정답：A
설명：
The Azure Vision in Foundry Tools service can extract both printed and handwritten text from various surfaces, documents, and letters using its advanced Optical Character Recognition (OCR) and Read model capabilities.
Key Details for Handwriting Extraction
Read API Capability: Utilizes deep-learning models built to process irregular spacing, slants, and cursive writing styles found on letters, notes, and whiteboards.
Supported Languages for Handwriting: Supports specific languages for cursive and printed handwriting including English, Chinese Simplified, French, German, Italian, Japanese, Korean, Portuguese, and Spanish.
Output Data Structure: Returns recognized content categorized clearly into pages, text lines, and words, complete with bounding box coordinates and confidence scores.
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/vision
질문 # 72
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You use the Azure OpenAI Responses API to send a prompt to the model.
You need to provide an image for analysis.
Which content item should you include in the request?
정답：D
설명：
When sending an image for analysis using the Azure OpenAI Responses API within a Microsoft Foundry project, you must include a content item object with the type input_image in the message payload.
Required Content Object Structure
Unlike the standard Chat Completions API (which uses type: "image_url"), the Responses API explicitly structures a multimodal image input as a separate block with the following properties:
type: Must be explicitly set to "input_image".
image_url: A dictionary or a direct parameter containing the target location of the image.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/responses
질문 # 73
Select the answer that correctly completes the sentence.
정답：
설명：
Explanation:
When content is submitted to Azure Content Understanding in Foundry Tools, the analysis is asynchronous.
This means the service does not return results immediately within the same HTTP request. Instead, it uses the standard Azure long-running operation (LRO) pattern - you call begin_analyze() to submit the content, which immediately returns a poller object, and then call poller.result() to wait for processing to complete and retrieve the structured extraction results.
Why the other options are wrong:
Synchronous is incorrect - the analysis pipeline involves multiple AI steps (OCR, speech transcription, schema mapping) that take time; a blocking synchronous call is not supported.
Returned only as unstructured plain text is incorrect - Azure Content Understanding returns richly structured JSON output with named fields mapped to your defined schema, not plain unstructured text.
Limited to OCR-only processing is incorrect - Content Understanding goes far beyond OCR; it supports document, audio, image, and video analyzers, and performs semantic field extraction using AI, not just character recognition.
This asynchronous design is consistent across all Azure AI services that perform complex, multi-step content processing.
질문 # 74
Match the principles of responsible Al to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
The system must not discriminate based on gender, race, or age. = Fairness This requirement maps to fairness because fairness means AI systems should avoid unfair bias and treat people equitably across demographic groups.
Personal data must be visible only to approved users. = Privacy and security This requirement maps to privacy and security because it focuses on protecting personal data and restricting access to authorized users only.
Automated decision-making processes must be recorded so that approved users can identify why a decision was made. = Transparency This requirement maps to transparency because recording decision-making processes helps users understand and explain how or why an AI-supported decision was made.
질문 # 75
Which type of Azure AI workload should you use to create illustrations based on the text of an article?
정답：B
설명：
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
질문 # 76
......
AI-901자격증참고서: https://www.passtip.net/AI-901-pass-exam.html