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Microsoft AI-103日本語 Exam Syllabus Topics:

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

Question 1

副操縦士は、会話の以前のやり取りに依存する複数の質問に答える必要があります。システムが複雑な質問をそれぞれ焦点を絞ったサブクエリに分割し、それらを並列実行し、回答を作成する前に結果を意味的に再ランク付けするようにしたい場合、Azure AI Search のどの機能がこれを提供しますか？

A. スコアリングプロファイルを使用したクラシックなキーワード検索
B. エージェントによる検索
C. 単一キーワードクエリにおけるトップk値の増加
D. 高い類似度閾値を持つ単一ベクトルクエリ

Question 2

Azure OpenAIリソースを含むAzureサブスクリプションをお持ちです。
与えられた商品説明から商品名を提案するアプリを開発する必要があります。
どのモデルを使用すべきですか？

A. ささやき
B. DALL-E
C. 埋め込み
D. GPT-4

Question 3

顧客サポートチャットアプリのエージェントを含むMicrosoft Foundryプロジェクトがあります。
エージェントはメモリストアとメモリ検索ツールを使用する。
会話履歴が複数のセッションにまたがって保持されないようにする必要があります。
メモリツールのスコープはどこに設定すべきですか？

A. {{$conversationId}}
B. {{$userId}}
C. セッション
D. グローバル

Question 4

Agent1という名前のカスタムエージェントが作成されました。
Microsoft Foundryを使用して、Agent1へのアクセスを制御し、アクティビティを監視する必要があります。
まず最初に何をすべきでしょうか？

A. Microsoft Foundry プロジェクトに Agent1 を追加します。
B. Microsoft Foundry プロジェクトを作成します。
C. Microsoft Foundry プレイグラウンドに Agent1 を追加します。
D. Application Insights リソースをプロビジョニングします。

Question 5

モデルのデプロイメントを含む Microsoft Foundry プロジェクトがあります。
Azure OpenAI v1 APIとDefaultAzureCredentialを使用してデプロイメントを呼び出すアプリケーションがあります。
御社の開発者は、az login を実行した後でも、推論リクエストを送信する際に HTTP 403 エラーを受け取ります。
開発者がモデル推論を実行できることを確認する必要があります。ソリューションは最小権限の原則に従う必要があります。
開発者にはどのロールベースアクセス制御(RBAC)ロールを割り当てるべきですか？

A. 寄稿者
B. OpenAIの認知サービスユーザー
C. コグニティブサービスユーザー
D. コグニティブサービスデータリーダー

Solutions: