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Microsoft Azure AI Fundamentals
- Exam Number/Code : AI-900
- Exam Name : Microsoft Azure AI Fundamentals
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NEW QUESTION: 1
Which user-defined attribute type in Purchasing Document Approval Rules Management supports the aggregation of data across lines or distributions based on a set of filters?
A. Category attribute
B. Summation attribute
C. Custom attribute
D. Currency attribute
Answer: B
Explanation:
Explanation
Summation attributes support the aggregation of data across lines or distributions using a set of filters. You can set up the filters using requisition attributes, or you can use rollups in the Procurement Category Hierarchy, Cost Center, Balancing Segment, Management Segment, or Natural Account hierarchies.
NEW QUESTION: 2
Which process would be used to compare the value that newer services have offered over those they have replaced?
A. Service catalogue management
B. Service portfolio management
C. Capacity management
D. Availability management
Answer: B
NEW QUESTION: 3
会社は、AWSにデプロイされているアプリケーションにCI / CDパイプラインを実装したいと考えています。また、社内にホストされているソースコード分析ツールを使用して、セキュリティ上の欠陥をチェックしています。このツールはまだAWSに移行されておらず、オンプレミスでのみアクセスできます。同社は、コードがコンパイルされる前に、パイプラインの一部としてソースコードに対してチェックを実行したいと考えています。チェックの完了には、数分から1時間かかります。
DevOpsエンジニアはどのようにしてこれらの要件を満たすことができますか?
A. AWS CodePipelineを使用してパイプラインを作成します。ソースステージの後にAWS Lambda関数を呼び出すアクションをパイプラインに追加します。 Lambda関数に、CodePipelineからのソース入力に対してオンプレミスでソースコード分析ツールを呼び出させます。次に、関数は実行が完了するまで待機し、指定されたAmazon S3の場所に出力を配置します。
B. AWS CodePipelineを使用してパイプラインを作成します。入力ソースコードをオンプレミスの場所にコピーするシェルスクリプトを作成します。ソースコード分析ツールを呼び出して、結果をCodePipelineに返します。ソースステージの後にカスタムスクリプトアクションを追加して、シェルスクリプトを呼び出します。
C. AWS CodePipelineを使用してパイプラインを作成し、カスタムアクションタイプを作成します。オンプレミスでホストされているハードウェアで実行するカスタムアクションのジョブワーカーを作成します。ジョブワーカーは、オンプレミスコード分析ツールで実行中のセキュリティチェックを処理し、ジョブ結果をCodePipelineに返します。ソースステージの後にパイプラインがカスタムアクションを呼び出すようにします。
D. AWS CodePipelineを使用してパイプラインを作成します。ソースステージの後にステップを追加して、ソースコード分析ツールでテストを呼び出すオンプレミスのホストされたWebサービスにHTTPSリクエストを作成します。
分析が完了すると、Webサービスは、CodePipelineによって提供されるAmazon S3出力場所に結果を配置することにより、結果を送り返します。
Answer: C