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Microsoft AI-103日本語 Exam Syllabus Topics:

SectionWeightObjectives
Implement generative AI solutions25-30%- Optimize and evaluate models
  • 1. Evaluate responses and grounding
  • 2. Configure content filters and safety
  • 3. Implement multimodal AI capabilities
- Develop generative AI applications
  • 1. Use Azure OpenAI and Foundry models
  • 2. Implement prompt engineering
  • 3. Build retrieval-augmented generation solutions
Plan and manage Azure AI solutions25-30%- Plan Azure AI resources
  • 1. Select Azure AI services and Foundry resources
  • 2. Manage deployments and monitoring
  • 3. Configure authentication and security
- Manage AI solution lifecycle
  • 1. Implement CI/CD for AI applications
  • 2. Apply responsible AI practices
  • 3. Monitor model and application performance
Implement computer vision solutions10-15%- Analyze visual content
  • 1. Use multimodal vision APIs
  • 2. Implement OCR and visual understanding
  • 3. Process images and video
Implement text analysis and information extraction solutions10-15%- Analyze and extract information
  • 1. Extract entities and structured data
  • 2. Use document intelligence services
  • 3. Implement natural language processing
Implement agentic solutions20-25%- Build AI agents
  • 1. Configure memory and orchestration
  • 2. Integrate tools and external knowledge
  • 3. Create autonomous and multi-agent workflows
- Manage agent operations
  • 1. Secure agent interactions
  • 2. Monitor and debug agents
  • 3. Implement scalable deployments

Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) Sample Questions:

1. 注:このセクションには、同じシナリオと問題に関する複数の質問セットが含まれています。各質問には、問題に対する固有の解決策が提示されています。提示された解決策が、提示された目標を満たしているかどうかを判断する必要があります。セット内の複数の解決策が問題を解決できる場合もあります。また、セット内のどの解決策も問題を解決できない場合もあります。
このセクションの質問に回答すると、前のセクションに戻ることはできません。そのため、これらの質問は復習画面には表示されません。
エージェントを含む Microsoft Foundry プロジェクトがあります。このエージェントは、取得したポリシー文書から概要を生成します。
ユーザーからは、取得したコンテンツに規定の規制条項が含まれている場合でも、一部の回答では必要な規制条項が省略されているとの報告がある。
回答の完全性を改善する必要があります。
解決策:必要な句が欠落している場合にレスポンスを再生成するリフレクションパスを追加します。
これは目標を達成していると言えるでしょうか?

A) はい
B) いいえ


2. あなたは、Azure AI Languageサービスを使用して、ソーシャルメディアの投稿の感情分析を行うアプリを開発しています。
サンプル投稿に対してテストを実行します。
テスト結果を定量化する必要があります。
どのJSONプロパティを確認すべきでしょうか?

A) 関係
B) 感情
C) 信頼度閾値
D) 信頼度スコア


3. お客様は、AI1 という名前の Azure AI Foundry インスタンスを含む Azure サブスクリプションをお持ちです。
システムログファイルに記録された問題を自動的にトリアージして解決するアプリをお持ちですね。
問題解決のために連携するインシデントマネージャーエージェントとDevOpsエージェントを作成します。
インシデントマネージャーエージェントがDevOpsエージェントに作業を割り当てられるようにする必要があります。ソリューションは開発作業を最小限に抑えるものでなければなりません。
あなたはどうすべきでしょうか?

A) インシデントマネージャーエージェント用のプラグインを作成します。
B) DevOpsエージェント用のプラグインを作成します。
C) AI1のプロンプトフローを設定します。
D) AI1 用の接続エージェントを設定します。


4. ドラッグアンドドロップ問題
社内ドキュメントに基づいたカスタマーサポートエージェントを含むMicrosoft Foundryプロジェクトがあります。
最近のアップデート後、ユーザーから以下の問題が報告されています。
- 一部の回答は、取得された文書によって裏付けられていません。
- ごく一部の回答がポリシー違反としてフラグ付けされています。
それぞれの問題を評価する必要があります。
各課題に対して、どの可観測性シグナルを使用すべきでしょうか?回答するには、適切な可観測性シグナルを正しい課題にドラッグしてください。各可観測性シグナルは、1回、複数回、または全く使用しない場合があります。コンテンツを表示するには、ペイン間のスプリットバーをドラッグするか、スクロールする必要がある場合があります。
注:正解ごとに1ポイントが加算されます。


5. 事前に構築された Azure 言語モデルを使用するアプリケーションがあります。
以下の要件を満たす要約を作成する必要があります。
- ビデオ内の各プレゼンターを特定し、各テキストファイルに属性を付与します。

- 元の文の順序を保持します
- 正確に3つの文を返します
どの言語サービス機能を使用すべきですか?

A) 感情分析
B) キーワード抽出
C) 抽出型要約
D) 抽象的要約


Solutions:

Question # 1
Answer: A
Question # 2
Answer: D
Question # 3
Answer: D
Question # 4
Answer: Only visible for members
Question # 5
Answer: C

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