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NEW QUESTION: 1
OSIモデルのどの3つのカプセル化レイヤーがTCP / IPアプリケーションレイヤーに結合されていますか? (3つ選択)
A. データリンク
B. 応用
C. セッション
D. ネットワーク
E. プレゼンテーション
F. 輸送
Answer: B,C,E

NEW QUESTION: 2

A. Option A
B. Option C
C. Option B
D. Option D
Answer: D

NEW QUESTION: 3
You use Azure Pipelines to manage build pipelines. GitHub to store source code, and Dependabot to manage dependencies.
You have an app named App1.
Dependabot detects a dependency in App1 that requires an update.
What should you do first to apply the update?
A. Create a pull request.
B. Perform a commit.
C. Approve the pull request
D. Create a branch.
Answer: C
Explanation:
DependaBot is a useful tool to regularly check for dependency updates. By helping to keep your project up to date, DependaBot can reduce technical debt and immediately apply security vulnerabilities when patches are released. How does DependaBot work?
* DependaBot regularly checks dependencies for updates
* If an update is found, DependaBot creates a new branch with this upgrade and Pull Request for approval
* You review the new Pull Request, ensure the tests passed, review the code, and decide if you can merge the change Reference:
https://samlearnsazure.blog/2019/12/20/github-using-dependabot/

NEW QUESTION: 4
開発チームは、多くのOS依存関係と言語ランタイム依存関係からなるアプリケーションスタックを持っています。アプリケーションをプロダクション環境にデプロイする際の最も重要な要素は、インスタンスがどれだけ早く操作可能になるかです。
要件を満たすために実行環境を更新するためにどのような展開方法を使用する必要がありますか?
A. AWS Lambda関数を使用して各インスタンス上でローカルにのみアプリケーションを更新し、プロセスが完了したらそれをロードバランサーに再接続します。
B. ユーザーデータスクリプトを使用して、必要に応じてすべての依存関係をインストールして、起動時にインスタンスを正しく設定します。
C. AWS OpsWorksスクリプトを使用して各インスタンスの再起動時に実行し、既知のすべての依存関係をインストールしてから、インスタンスをロードバランサーに再接続します。
D. ビルドが成功するたびに作成されたフルベイクドAMI( "ゴールデンイメージ")、新しいAuto Scalingグループの作成、およびロールバックを伴う青/緑の展開を使用します。
Answer: D
Explanation:
An approved/golden AMI is a base EC2 machine image that contains a pre-configured OS and a well-defined stack of server software fully configured to run your application.