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Microsoft AI-103日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement Natural Language Processing Solutions | - Language understanding and intent recognition - Text analytics and summarization - Translation and multilingual support |
| Knowledge Mining and Information Retrieval | - Azure AI Search configuration - Indexing and semantic search - RAG (Retrieval Augmented Generation) patterns |
| Implement Computer Vision Solutions | - Image classification and object detection - OCR and document intelligence |
| Plan and Manage Azure AI Solutions | - Responsible AI principles and governance - Model selection and lifecycle management - Azure AI resource provisioning and configuration |
| Develop Generative AI Applications and Agents | - Azure OpenAI Service integration
|
Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) Sample Questions:
Question 1
ホットスポットに関する質問
あなたは、エージェントを含み、KV1という名前のAzureキーコンテナーを使用する、Project1という名前のMicrosoft Foundryプロジェクトを作成する予定です。
Project1からKV1への接続を設定する必要があります。
上腕二頭筋コードをどのように完成させるべきですか?回答するには、回答欄で適切なオプションを選択してください。
注:正解ごとに1ポイントが加算されます。
Question 2
あなたは生産ラインを備えた工場を所有しています。
生産ラインで作業する従業員の動きを検知・追跡するために、ビデオ映像を分析するソリューションを開発する必要があります。
ソリューションにはどのサービスを含めるべきでしょうか?
A. Foundry ToolsのAzure Visionによる空間分析
B. Foundry Toolsの画像解析におけるAzure Vision
C. Azure AI Video Indexer
D. Azure AI Face
Question 3
あなたはMicrosoft Foundryプロジェクトを持っています。
社内ポリシー文書の検索ソリューションをサポートするには、モデルカタログからモデルをデプロイする必要があります。このモデルは、文書内のテキストとユーザーのクエリのベクトル表現を生成する必要があります。
どのタイプのモデルを使用すべきですか?
A. 埋め込みモデル
B. 小型言語モデル(SLM)
C. 大規模言語モデル(LLM)
D. 画像生成モデル
Question 4
あなたは、テキストプロンプトから製品マーケティング用の画像を生成するMicrosoft Foundryプロジェクトを持っています。
複数の画像を公開した後、貴社の法務チームは、ある画像の背景にある看板に競合他社のロゴが写っていることを発見した。
ロゴだけを削除し、画像の残りの部分はそのまま残してください。
あなたはどうすべきでしょうか?
A. 元のプロンプトを修正して、ブランド名を除外します。
B. ロゴが含まれている画像部分にマスクベースのインペインティング編集を適用します。
C. 別の乱数シードを使用してプロンプトを再実行します。
D. プロンプトのガイダンス強度を高める。
Question 5
Microsoft Foundry プロジェクトがあり、Azure AI Search を使用してエージェントを内部ドキュメントに紐付けています。
最近のコンテンツ更新後、ユーザーからエージェントの回答の精度が低下したとの報告が寄せられている。
取得したコンテンツが、モデルが生成する応答に悪影響を与えているかどうかを特定する必要があります。
どの観測可能性シグナルを検証すべきでしょうか?
A. レイテンシー内訳トレース
B. グラウンディング評価指標
C. 予測ドリフト指標
D. インデクサの状態と障害履歴
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: B |
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