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AI-102-KR
Microsoft.AI-102-KR.v2026-04-22.q189 모의시험 (Page 17)

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AI-102-KR 문제 76

Azure Cognitive Services 리소스를 프로그래밍 방식으로 생성하기 위한 C# 메서드는 다음과 같습니다.

미국 서부 Azure 지역에 무료 Azure 리소스를 생성하려면 메서드를 호출해야 합니다. 이 리소스는 이미지 캡션을 자동으로 생성하는 데 사용됩니다.
어떤 코드를 사용해야 하나요?

A. create_resource(client, "res1", "ComputerVision", "F0", "westus")

B. create_resource(client, "res1", "CustomVision.Prediction", "F0", "westus")

C. create_resource(client, "res1", "ComputerVision", "S0", "westus")

D. create_resource(client, "res1", "CustomVision.Prediction", "S0", "westus")

정답: A

The question is about creating an Azure Cognitive Services resource programmatically with C#.
* Free resource # This requires the F0 (Free) pricing tier.
* West US region # Location should be "westus".
* Generate captions of images automatically # This requires the Computer Vision service.
Key requirements from the question:
* A. create_resource(client, "res1", "ComputerVision", "F0", "westus")
* Uses "ComputerVision" kind # Correct, because Computer Vision provides the image captioning feature.
* Tier is "F0" # Correct, free tier.
* Location "westus" # Correct.
* This is the correct answer.
* B. create_resource(client, "res1", "CustomVision.Prediction", "F0", "westus")
* Custom Vision is for building and deploying custom image classifiers.
* The Prediction resource is specifically for running inference, not general captioning.
* Wrong service for the requirement.
* C. create_resource(client, "res1", "ComputerVision", "S0", "westus")
* "ComputerVision" is correct.
* But "S0" is a paid tier, not the required free tier.
* Does not meet the requirement.
* D. create_resource(client, "res1", "CustomVision.Prediction", "S0", "westus")
* Wrong service (captioning is not handled by Custom Vision).
* Wrong tier (paid instead of free).
* Incorrect.
Option Analysis
The answer: A. create_resource(client, "res1", "ComputerVision", "F0", "westus")
* Azure AI Computer Vision documentation
* Create a Cognitive Services resource in Azure
* Computer Vision capabilities - Image analysis and captioning
Microsoft References

코멘트: *

성함: *

메일: *

확인코드: *

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AI-102-KR 문제 77

Azure Al Video Indexer 계정이 포함된 Azure 구독이 있습니다.
인덱서에 사용자 지정 브랜드와 로고를 추가하고 해당 사용자 지정 브랜드에 대한 제외를 구성해야 합니다. REST API 호출은 어떻게 완료해야 할까요? 답변하려면 답변 영역에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.

정답:

Explanation:

Comprehensive Detailed ExplanationThe scenario:
* You are working with Azure AI Video Indexer.
* You need to add a custom brand/logo and also configure an exclusion so that this brand is not indexed.
In Video Indexer's REST API for brands, the configuration JSON includes:
* "enabled": true/false # Determines whether the brand should be indexed.
* Setting "enabled": false means the brand is excluded.
The other properties in the dropdown (state, tags, useBuiltin) are not correct in this context for configuring exclusions.
Therefore, to exclude a custom brand:
"enabled": false
The answer:
* Attribute: "enabled"
* Value: false
* Video Indexer - Brands customization
* Azure Video Indexer API - Brands
Microsoft References

코멘트: *

성함: *

메일: *

확인코드: *

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AI-102-KR 문제 78

Azure Al Language로 사용자 지정 질의응답 프로젝트를 개발합니다. 이 프로젝트는 챗봇에서 사용됩니다.
여러 차례의 대화에 참여할 수 있도록 프로젝트를 구성해야 합니다. 어떻게 해야 할까요?

A. 대체 질문을 추가합니다.

B. 잡담을 활성화합니다.

C. 후속 메시지를 추가합니다.

D. 능동적 학습을 활성화합니다.

정답: C

Comprehensive Detailed ExplanationYou are working with a custom question answering project in Azure AI Language (formerly QnA Maker). The requirement is to enable the chatbot to engage in multi-turn conversations.
* Multi-turn conversation: This occurs when a bot needs to ask clarifying questions or present follow-up options to guide the user toward the right answer.
Now let's evaluate the options:
* A. Add alternate questions
* Alternate questions help improve query matching by allowing different phrasings of the same question.
* This does not enable multi-turn dialogue.
* B. Enable chit-chat
* Chit-chat adds conversational personality (e.g., greetings, small talk).
* Useful for user engagement but not for structured multi-turn dialogues.
* C. Add follow-up prompts #
* Follow-up prompts allow you to define next-step questions after an answer.
* They are the key mechanism in custom question answering to enable multi-turn conversation flows.
* Example: If the answer is about "subscriptions," the follow-up prompts might include "How to upgrade?" or "How to cancel?"
* D. Enable active learning
* Active learning helps improve accuracy by suggesting alternative phrasing for questions based on user feedback.
* This is for model refinement, not multi-turn conversation.
Thus, the correct way to configure the project for multi-turn conversations is to add follow-up prompts.
The answer: C. Add follow-up prompts
* Custom question answering in Azure AI Language - Multi-turn conversations
* Custom question answering overview
Microsoft References

코멘트: *

성함: *

메일: *

확인코드: *

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AI-102-KR 문제 79

Azure Cosmos DB API를 적절한 데이터 구조에 맞춰보세요.
답하려면 왼쪽 열에서 해당 API를 오른쪽 데이터 구조로 드래그하세요. 각 API는 한 번, 여러 번 또는 전혀 사용되지 않을 수 있습니다.
참고: 정답을 맞힐 때마다 1점이 주어집니다.

정답:

Explanation:

Azure Cosmos DB supports multiple APIs, each aligned to a specific data model:
* Gremlin API
* Designed for graph data.
* Stores vertices (nodes) and edges (relationships).
* Query language: Gremlin.
* Correct mapping: Graph data.
* MongoDB API
* Designed for document data using JSON.
* Supports MongoDB wire protocol.
* Correct mapping: JSON documents.
* Table API
* Designed for key-value data.
* Compatible with Azure Table Storage.
* Correct mapping: Key/value data.
* Cassandra API
* Designed for wide-column (column-family) data.
* Uses CQL (Cassandra Query Language).
* Not listed in the answer area, but if included, it maps to columnar data, not the options shown here.
Correct Mapping:
* Graph data # Gremlin API
* JSON documents # MongoDB API
* Key/value data # Table API
* APIs in Azure Cosmos DB
* Choose the right API for Azure Cosmos DB
Microsoft References

코멘트: *

성함: *

메일: *

확인코드: *

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AI-102-KR 문제 80

귀사는 Azure에서 관계형 데이터베이스를 구현해야 합니다. 솔루션은 지속적인 유지 관리를 최소화해야 합니다. 어떤 Azure 서비스를 사용해야 합니까?

A. Azure 가상 머신의 SQL Server

B. Azure SOL 데이터베이스

C. Azure HDInsight

D. Azure 코스모스 DB

정답: B

Comprehensive Detailed ExplanationThe requirement is:
* Implement a relational database in Azure.
* Minimize ongoing maintenance.
Let's analyze each option:
* A. SQL Server on Azure Virtual Machines
* This is an IaaS solution.
* You (the customer) are responsible for OS patching, SQL Server installation, backups, updates, and maintenance.
* High maintenance burden # not the right choice.
* B. Azure SQL Database
* This is a PaaS (Platform as a Service) offering.
* Microsoft manages infrastructure, patching, backups, and high availability.
* You only manage the schema, tables, and data.
* Best fit for minimizing maintenance.
* C. Azure HDInsight
* This is a big data and analytics service, designed for Hadoop, Spark, Hive, etc.
* Not a relational database. # incorrect.
* D. Azure Cosmos DB
* This is a globally distributed NoSQL database (supports multiple APIs: SQL API, MongoDB API, Cassandra API, etc.).
* While it reduces maintenance, it is not a relational database. # incorrect.
The answer: B. Azure SQL Database
* What is Azure SQL Database?
* SQL Server on Azure VMs vs. Azure SQL Database
Microsoft References

코멘트: *

성함: *

메일: *

확인코드: *

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