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NEW QUESTION: 1
あなたの会社はAzure DevOpsに新しいWebアプリケーションのプロジェクトを持っています。
同社は変更管理にService Nowを使用しています。
コンポーネントを実稼働環境にデプロイする前に、変更要求が確実に処理されるようにする必要があります。
Azure DevOpsリリースパイプラインに統合する2つの方法は何ですか？正解はそれぞれ完全な解決策を提示します。
注：それぞれ正しい選択は1ポイントの価値があります。
A. QAステージへの配置後に配置後ゲートを定義します。
B. Prodステージへの配置の前に配置前ゲートを定義します。
C. ServiceNow REST APIを呼び出す配置コントロールを定義します。
D. Service Now SOAP APIを呼び出す配置コントロールを定義します。
Answer: A,B
Explanation:
説明
以下に示すのは、リリースパイプラインを通じてモデル化できるリリースパイプラインの例です。
この例では、Webサイトのリリースは、それぞれ異なるビルドパイプラインからの2つのビルド（成果物）の特定のバージョンを収集することによって作成されます。このリリースは最初にDevステージにデプロイされ、次に2つのQAステージに並行してフォークされます。展開が両方のQA段階で成功した場合、リリースはProd ring 1に、そしてProd ring 2に展開されます。各プロダクションリングは、世界中のさまざまな場所に展開された同じWebサイトの複数のインスタンスを表します。
参考資料：https://docs.microsoft.com/ja-jp/azure/devops/pipelines/release
NEW QUESTION: 2
The Rules Engine has a _____ interface to create a rule.
Choose the correct answer:
A. Java
B. PHP
C. Oracle
D. SQL
Answer: D
Explanation:
The AWS IoT Rules Engine enables continuous processing of inbound data from devices connected to the AWS IoT service. You can configure rules in the Rules Engine in an intuitive, SQL-like syntax to automatically filter and transform inbound data.
Reference:
https://aws.amazon.com/iot-platform/faqs/
NEW QUESTION: 3
Given the data set WORK.DEPARTMENTS:
The following SAS program is submitted:
Which output will be generated?
Answer:
Explanation:
Pending