Databricks Databricks-Certified-Data-Engineer-Associate日本語 Valid Dump : Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版)

Databricks-Certified-Data-Engineer-Associate日本語 real exams

Exam Code: Databricks-Certified-Data-Engineer-Associate-JPN

Exam Name: Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版)

Updated: Oct 28, 2026

Q & A: 322 Questions and Answers

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Databricks Databricks-Certified-Data-Engineer-Associate日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Production Pipelines: It focuses on identifying the advantages of using multiple tasks in Jobs, a suitable scenario where predecessor task should be set up, CRON as an opportunity for scheduling opportunity, and how an alert can be sent via email. The topic also discusses setting up a predecessor task in Jobs, reviewing a task's execution history, and debugging a failed task. Lastly, it delves into setting up a retry policy in case of failure and creating an alert in the case of a failed task.
Topic 2
  • Incremental Data Processing: In this topic questions about identifying Delta Lake, benefits of ACID transactions, a scenario to use an external table, location of a table, the benefits of Zordering, the kind of files, CTAS as a solution, the impact of ON VIOLATION DROP ROW and ON VIOLATION FAIL UPDATE, and the necessary component to create a new DLT pipeline. Moreover, the topic also discusses directory structure of Delta Lake files, generated column, adding a table comment, and the benefits of the MERGE command.
Topic 3
  • Data Governance: It identifies one of the four areas of data governance, Unity Catalog securables, and the cluster security modes. It also discusses how to create a UC-enabled all-purpose cluster and a DBSQL warehouse. The topic explains how to implement data object access control, create a DBSQL warehouse, and e a UC-enabled all-purpose cluster.
Topic 4
  • ELT with Apache Spark: It focuses on extracting data, identifying the prefix, creating a view, duplicating rows, creating a new table, utilizing the dot, parsing JSON, and defining a SQL UDF. Moreover, the topic delves into describing the security model, identifying the location of a function, and identifying the PIVOT.
Topic 5
  • Databricks Lakehouse Platform: This topic covers the relationship between the data lakehouse and the data warehouse, the improvement in data quality, comparing and contrasting silver and gold tables, elements of the Databricks Platform Architecture, and differentiating between all-purpose clusters and jobs clusters. Moreover, it identifies how cluster software is versioned, how clusters can be filtered, how to use multiple languages, how to run one notebook, how notebooks can be shared, Git operations, and limitations in Databricks Notebooks. Lastly, the topic describes how clusters are terminated, how to use multiple languages, and how Databricks Repos enables CI
  • CD workflows.

Reference: https://www.databricks.com/learn/certification/data-engineer-associate

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Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) Sample Questions:

Question #1

ある企業がDelta Sharingを使用して、異なるクラウドプロバイダーや地域にまたがるパートナーと連携しています。この場合、地域間通信料やデータ転送料によって追加コストが発生する可能性はありますか?

  • A. デルタシェアリングによるクラウド間および異なる地理的地域間でのデータ転送
  • B. 単一のクラウド環境内でデルタ共有を利用して内部データ分析を行う
  • C. 同一データセンター内のVPNを使用してDelta Sharingデータにアクセスする
  • D. 同じクラウドプロバイダーおよびリージョン内でのデータ共有
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

データエンジニアがスケジュールされたジョブをトリガーしましたが、新しい実行が実行されていないことがわかりました。実行履歴には、同時実行関連のキューメッセージによって実行がスキップされたことが示されています。エンジニアはどの構成を調査すべきでしょうか?

  • A. タスクの SQL ウェアハウス権限
  • B. ジョブレベルのmax_concurrent_runs設定とキューイングが有効になっているかどうか
  • C. クラウドプロバイダーにおけるクラスタースポットインスタンスの可用性
  • D. タスクレベルのtimeout_seconds設定
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

パイプラインでは、COPY INTOコマンドを使用して、クラウドオブジェクトストレージからCSVファイルをUnityカタログのデルタテーブルに取り込みます。一部のファイルは、同じファイル名を使用して修正を加えて再アップロードされることがあります。
エンジニアは、修正されたデータが生成されたらすぐに取り込まれる必要がある。エンジニアは何をすべきか?

  • A. 実行ごとにソースパスからすべてのファイルを再読み込みする
  • B. 実行ごとにターゲットデルタテーブルを上書きする
  • C. 各実行前にターゲットテーブルを再作成する
  • D. 修正内容を新規ファイルとして読み込み、対象テーブルに更新を適用する
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

ある組織は、Databricks Unityカタログに保存されているデータセットを、Databricks以外のデータプラットフォームを利用する外部パートナーと共有する必要があります。その目的は、データのセキュリティを維持し、パートナーが効率的にデータにアクセスできるようにすることです。
データ エンジニアがデータセットを外部パートナーと安全に共有するには、どの方法を使用する必要がありますか?

  • A. Databricks 間の共有
  • B. オープン共有プロトコルでデルタ共有を使用する
  • C. サードパーティのAPIを使用してDeltaテーブルにアクセスする
  • D. データをCSVファイルとしてエクスポートし、メールで送信する
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

データエンジニアは、更新と削除操作を何度か繰り返した後、参照されなくなった古いデータファイルを含むDeltaテーブルを持っています。これらの未使用ファイルを削除してストレージ領域を解放するには、どのDelta Lakeコマンドを実行すればよいでしょうか?

  • A. 最適化
  • B. 真空
  • C. キャッシュテーブル
  • D. 歴史を説明する
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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