Databricks Associate-Developer-Apache-Spark-3.5 Q&A - in .pdf

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  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • PDF Version: V13.25
  • Q & A: 85 Questions and Answers
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  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
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NEW QUESTION: 1
The IGP next-hop reachability for a BGP route is lost but a default route is available.
Assuming that BGP
connectivity is maintained, what will happen to the BGP route?
A. It will be considered invalid for traffic forwarding.
B. It will be removed from the BGP table.
C. It will be put in a hold-down state by BGP until the next hop has been updated.
D. It will be considered a valid route.
Answer: D

NEW QUESTION: 2
情報資産分類を実行する主な利点は次のとおりです。
A. リスクに見合ったコントロールを特定します。
B. 所有権を確立します。
C. アクセス権を定義します。
D. セキュリティ要件をビジネス目標にリンクします。
Answer: A
Explanation:
説明
すべての選択は、情報分類の利点です。ただし、すべてのケースでリスクに比例するコントロールを特定することが、プロセスの主な利点です。

NEW QUESTION: 3
会社には、自動化された展開パイプライン用のコードを記述する単一の開発者がいます。開発者は、各プロジェクトのソースコードをAmazon S3バケットに保存しています。同社は開発者をチームに追加したいと考えていますが、コードの競合と作業の損失を懸念しています。また、テスト環境を構築してテスト用の新しいバージョンのコードを展開し、開発者がリポジトリでコードが変更されたときに両方の環境に自動的に展開できるようにすることも望んでいます。
これらの要件を満たす最も効率的な方法は何ですか?
A. コードをテストするためにプロジェクトごとに別のS3バケットを作成し、AWS Lambda関数を使用して、テストバケットと本番バケットの間でコードの変更を促進します。コードの競合を防ぐために、すべてのバケットでバージョン管理を有効にします。
B. 各S3バケットでバージョニングとブランチを有効にし、本番コードにmasterブランチを使用し、テストにデプロイされたコードにテストブランチを作成します。開発者が各環境で開発するために各ブランチを使用するようにします。
C. 各プロジェクトにAWS CodeCommitリポジトリを作成し、本番コードにmasterブランチを使用し、テストにデプロイされたコードにテストブランチを作成します。機能ブランチを使用して、新しい機能を開発し、コードをテストブランチとマスターブランチにマージする要求をプルします。
D. 各プロジェクトのAWS CodeCommitリポジトリを作成し、各環境の異なるデプロイパイプラインで本番およびテストコードのmasterブランチを使用します。機能ブランチを使用して、新しい機能を開発します。
Answer: C

NEW QUESTION: 4
Which of the following filesystems is most commonly used for Linux distributions?
A. ext4
B. NTFS
C. FAT32
D. HFS+
Answer: A

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