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Microsoft AI-103日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Implement agentic solutions | 20-25% | - Manage agent operations
|
| Implement generative AI solutions | 25-30% | - Develop generative AI applications
|
| Plan and manage Azure AI solutions | 25-30% | - Plan Azure AI resources
|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) Sample Questions:
あなたは、Foundry ToolsクライアントライブラリのAzure Visionを使用するメソッドを開発しています。このメソッドは、画像内の光学文字認識(OCR)を実行します。メソッドのコードは以下のとおりです。
テスト中に、読み取り操作が完了する前に get_read_result メソッドが呼び出されることがわかりました。読み取り操作が完了するまで get_read_result メソッドが実行しないようにする必要があります。実行すべき 2 つのアクションはどれですか? 正解はそれぞれ、解決策の一部を示しています。注:
正解ごとに1ポイント獲得できます。
- A. get_read_result の呼び出しを、遅延を含むループで囲みます。
- B. operation_id パラメータを削除します。
- C. read_result.status の値を検証するコードを追加します。
- D. read_operation_location の値の状態を確認するコードを追加します。
Correct Answer: A,C 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
エージェントがターンやセッションをまたいで完全なインタラクション履歴を自動的に再利用できるように、永続的なIDを使用して状態を保持する必要があります。
- A. 出力項目
- B. 会話
- C. 応答
- D. エージェント
Correct Answer: B 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
エージェントを含む Microsoft Foundry プロジェクトがあります。このエージェントには、Azure AI Search に格納されているナレッジベースを照会する Model Context Protocol (MCP) ツールが含まれています。
エージェントの実行によっては、知識ベースを呼び出さずに基本モデルから回答を返す場合があり、その結果、根拠となる引用のない応答が返される。
エージェントを実行するためのコードスニペットを以下に示します。
run = project_client.agents.runs.create_and_process(
thread_id=thread.id、
agent_id=agent.id、
)
エージェントが実行ごとに必ずMCPツールを呼び出すようにするには、コードに適切なtool_choiceパラメータを追加する必要があります。
何を追加すべきでしょうか？
- A. tool_choice={ " type " : " knowledge_base " }
- B. tool_choice={ " required " }
- C. tool_choice ={ " type " : " mcp " }
- D. tool_choice={ " auto " }
Correct Answer: B 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
あなたは、顧客からのコメントを収集し、それを公開フォーラムに投稿するPythonアプリケーションを持っています。
Azure AI Content Safetyにテキストコメントを送信し、応答から自傷行為の深刻度を返す必要があります。
コードをどのように完成させればよいでしょうか？回答するには、回答欄で適切な選択肢を選んでください。
注：正解ごとに1ポイントが加算されます。
Correct Answer:
Explanation:
Create an AnalyzeTextOptions instance and set its required text property to the string stored in comment.
Microsoft ' s Python SDK reference defines text as a required string containing the text to analyze. Microsoft Learn Then submit the request through:
client.analyze_text(request)
The resulting AnalyzeTextResult exposes categories_analysis. The code can iterate through those results, locate the item whose category is TextCategory.SELF_HARM, and return its severity.
Azure AI Content Safety currently analyzes the primary categories Hate, SelfHarm, Sexual, and Violence and returns severity information that can be used by the application to enforce publishing policy. Microsoft Learn analyze_image is inappropriate because the input is textual. A nonstandard client_moderate_text method is not the current SDK operation. The request ' s categories field, when used, expects a list of category identifiers and not the comment itself.
The technically correct current Python pattern is therefore AnalyzeTextOptions(text=comment) followed by client.analyze_text(request).
Study Guide alignment: configure detection of safety issues and sensitive content in text-analysis solutions
. Microsoft Learn
デプロイ済みのチケットトリアージエージェントを含むMicrosoft Foundryプロジェクトがあります。
エージェントがツールを必要とする場合でも、ツールを呼び出さずに応答することがあるということに気づくでしょう。
エージェントが実行中にツールを呼び出すようにする必要があります。
Pythonコードを完成させるにはどうすればよいでしょうか？適切な値を正しい場所にドラッグして回答してください。
各値は使用可能です
1回、複数回、または全く表示しない。コンテンツを表示するには、ペイン間の分割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。
Correct Answer:
Explanation:
" tool_choice " : " required "
The correct completion is " tool_choice " : " required " . In Microsoft Foundry Agent Service, tool_choice controls whether the model can answer directly or must invoke a tool during a run. The official Foundry tool guidance states that tool_choice provides deterministic control over tool calling: auto allows the model to decide whether to call tools, none prevents tool use, and required forces the model to call one or more tools.
This directly addresses the issue where the ticket-triage agent sometimes responds without invoking a required tool.
The completed payload should therefore add the tool_choice property beside assistant_id, with the value " required " . The value " auto " is incorrect because it preserves the current nondeterministic behavior. The values " tools " and " type " do not force execution-time tool invocation in this payload; they are used for tool definitions or typed objects in other contexts. response_format controls output formatting, not tool execution.
Reference topics: Microsoft Foundry Agent Service, tool calling reliability, run payload configuration, tool_choice, agent execution, and deterministic tool invocation.
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