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AI-102-KR
Microsoft.AI-102-KR.v2026-05-02.q186 모의시험 (Page 28)

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AI-102-KR 문제 131

다음과 같은 데이터 소스가 있습니다.
* 재무: 온프레미스 Microsoft SQL Server 데이터베이스
* 판매: 코어(SQL) API를 사용한 Azure Cosmos DB
* 로그: Azure 테이블 스토리지
* HR: Azure SQL 데이터베이스
Azure AI 검색 REST API를 사용하여 모든 데이터를 검색할 수 있도록 해야 합니다. 어떻게 해야 할까요?

A. 재무 데이터를 Azure Data Lake Storage로 내보냅니다.

B. HR 부서의 데이터를 Azure Blob Storage로 마이그레이션합니다.

C. 로그의 데이터를 Azure Data Explorer로 가져옵니다.

D. 로그의 데이터를 Azure Sentine1으로 수집합니다.

정답: A

코멘트: *

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메일: *

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AI-102-KR 문제 132

컴퓨터 비전 API를 사용하여 이미지를 분석하는 앱이 있습니다.
시각 장애인 사용자를 위해 출력을 제공하도록 앱을 구성해야 합니다. 솔루션은 완전한 문장으로 출력을 제공해야 합니다.
어떤 API 호출을 수행해야 하나요?

A. readInStreamAsync

B. describelmagelnStreamAsync

C. toglfiagelnStreaaAsync

D. analyreImageByDomainInStreamAsync

정답: B

* To generate complete sentences describing an image (for accessibility for visually impaired users), you must call the Describe Image API.
* describeImageInStreamAsync analyzes the content of the image and generates human-readable descriptions in natural language sentences.
* readInStreamAsync is for OCR (extracting text).
* tagImageInStreamAsync is for generating tags (keywords), not full sentences.
* analyzeImageByDomainInStreamAsync is for domain-specific models (e.g., celebrities, landmarks).
The answer: B
Reference: Computer Vision Describe Images

코멘트: *

성함: *

메일: *

확인코드: *

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AI-102-KR 문제 133

Azure Al Vision 클라이언트 라이브러리를 사용하는 애플리케이션을 개발하고 있습니다. 해당 애플리케이션의 코드는 다음과 같습니다.

다음 각 문장에 대해, 문장이 사실이라면 '예'를 선택하세요. 그렇지 않으면 '아니요'를 선택하세요.
참고: 정답 하나당 1점입니다.

정답:

Explanation:

Comprehensive Detailed Explanation
The given code is using the Azure AI Vision client library with the method:
image_analysis = client.analyze_image_in_stream(
image=image_stream,
visual_features=[
VisualFeatureTypes.tags,
VisualFeatureTypes.description
]
)
Breakdown of the functionality:
VisualFeatureTypes.tags # Extracts tags (labels) describing the image (e.g., "dog", "tree", "outdoor"), including confidence scores.
VisualFeatureTypes.description # Generates captions (natural-language sentences) that describe the image.
The code explicitly iterates through tags and captions , printing both with their confidence values.
The image is read from the local file system using:
with open (local_image, " rb " ) as image_stream:
Face recognition is not included because the code does not request VisualFeatureTypes.faces .
Correct Answer Matrix:
Face recognition # No
Tags with confidence # Yes
Read image from local file system # Yes
Microsoft References
Azure AI Vision features (tags, description, faces, etc.)
analyze_image_in_stream method

코멘트: *

성함: *

메일: *

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AI-102-KR 문제 134

다음 표에 표시된 파일이 포함된 컴퓨터가 있습니다.

Azure Al Video Indexer를 사용하여 어떤 파일을 업로드하고 분석할 수 있나요?

A. File1만

B. File3only

C. File1과 File3만

D. File1, File2, File3만

E. File1, File2, File3 및 File4

정답: C

Azure AI Video Indexer (VI) imposes limits on both file duration and file size:
Duration: Up to 6 hours for all presets; Basic Audio preset supports up to 12 hours.
Size: When uploading from your device, the limit is 2 GB (uploading by URL allows up to 30 GB).
Formats: MP4, AVI (video) and MP3 (audio codec/file) are supported.
Evaluating each file:
File1 - MP4, 34 mins, 1,500 MB: Within 6-hour duration and under 2 GB # Supported.
File2 - AVI, 500 mins (#8h20m), 1,700 MB: Exceeds the 6-hour limit # Not supported.
File3 - MP3, 300 mins (5h), 980 MB: Under 6 hours (and also under the 12-hour Basic Audio limit) and under 2 GB # Supported.
File4 - MP4, 350 mins (#5h50m), 2,800 MB: Duration is under 6 hours but size exceeds 2 GB for device uploads # Not supported (unless uploaded by URL, which the question doesn't state).
Therefore, the files you can upload and analyze (under standard device upload constraints) are File1 and File3 only.
Microsoft References
Support matrix & limits - file duration (6h for all presets; 12h for Basic Audio), device upload size limit 2 GB; supported formats (MP4, AVI, WAV, etc.) and audio codecs including MP3. Microsoft Learn Release notes - increase of duration limit from 4h to 6h (and 12h for Basic Audio). Microsoft Learn Upload guidance - device upload 2 GB vs 30 GB via URL.

코멘트: *

성함: *

메일: *

확인코드: *

insert code

AI-102-KR 문제 135

문장을 올바르게 완성하는 답을 선택하세요.

정답:

Explanation:
Data Analyst.
When dealing with data roles in an organization, responsibilities are divided among data analysts, data engineers, and data scientists. Let's review them:
Data Analyst
Focuses on understanding business requirements and ensuring that the right rules and logic are applied to data so it becomes meaningful for decision-making.
They work closely with stakeholders to define business rules such as data validation rules, aggregation logic, and reporting metrics.
This makes them responsible for identifying which business rules must be applied to data.
Data Engineer
Responsible for designing, building, and maintaining the infrastructure and pipelines that move and process data.
They ensure data availability, reliability, and scalability, but do not usually define business rules.
Data Scientist
Focuses on advanced analytics, predictive modeling, and machine learning.
They use data prepared by engineers and analysts but are not typically the ones who define the business rules that govern how raw data should be interpreted.
Therefore, the correct answer is Data Analyst.
The Answer: A data analyst
Microsoft References
Data roles and responsibilities in Azure
What is a Data Analyst?
Responsibilities of Data Engineers vs Data Scientists vs Data Analysts

코멘트: *

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메일: *

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