Try and practice the latest Databricks : Databricks-Certified-Data-Engineer-Associate日本語 real questions & answers

Last Updated: Sep 12, 2026

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Databricks Databricks-Certified-Data-Engineer-Associate日本語 Exam Overview:

Certification Vendor:Databricks
Exam Name:Databricks Certified Data Engineer Associate Exam
Exam Number:Databricks-Certified-Data-Engineer-Associate
Related Certifications:Databricks Certified Data Analyst Associate
Exam Duration:90 minutes
Exam Price:$200 USD
Real Exam Qty:60
Passing Score:70%
Exam Format:Multiple Select, Multiple Choice
Available Languages:English
Certificate Validity Period:2 years
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored or in-person testing center
Pre Condition:Recommended: 6+ months of experience with Databricks and Apache Spark
Official Syllabus URL:https://www.databricks.com/learn/certification/data-engineer-associate

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

SectionWeightObjectives
Lakehouse Platform Concepts10-15%- Explain data governance and security concepts
- Describe key Databricks Lakehouse platform components
- Understand the Lakehouse architecture and its benefits
Spark SQL and DataFrames15-20%- Handle null values and data quality
- Write and execute Spark SQL queries
- Aggregate and group data
- Join and union DataFrames
Delta Lake Fundamentals20-25%- Write to and read from Delta tables
- Explain Delta Lake features and benefits
- Understand ACID transactions and time travel
- Create and manage Delta tables
Data Pipeline Architecture15-20%- Implement incremental data processing
- Design data pipelines for batch and streaming
- Monitor and optimize pipeline performance
- Understand ELT vs ETL patterns
Apache Spark Data Processing Fundamentals20-25%- Work with structured data types (arrays, maps, structs)
- Use Spark SQL for data processing
- Create and use Spark DataFrames
- Apply transformations and actions on DataFrames
Python for Data Engineering10-15%- Use PySpark for data processing
- Work with Spark APIs in Python
- Implement user-defined functions (UDFs)

Common Questions About the Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版)

The Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) exam is the official Databricks assessment behind the Databricks Certification credential, which sits at the Associate level. Passing it confirms that your skills meet the vendor's current requirements rather than a textbook outline. It also connects with related certifications such as Databricks Certified Data Analyst Associate, so it can anchor a broader certification path.

According to the official exam information, the Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) exam includes 60 questions and gives you 90 minutes to complete them. Treat that as a pacing exercise, not just a knowledge check: bank the questions you know first, flag the ones that stall you, and circle back instead of burning minutes on a single item. Before test day, run at least one full timed session in the Actual4Cert desktop or online test engine, so the clock never feels unfamiliar when it counts.

To pass the Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) exam you need 70%, and the official registration fee is $200 USD. Keep one thing in mind: a failed attempt is not discounted, so retaking the exam means paying $200 USD again in full. A practical safeguard is to sit a complete Actual4Cert practice test a week or two before your exam date; if your timed scores are not sitting comfortably above the passing mark, consider pushing your booking back and drilling the weak domains first.

The official prerequisites for the Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) exam are as follows: Recommended: 6+ months of experience with Databricks and Apache Spark. Requirements can change over time, so confirm the details on the official Databricks exam page at https://www.databricks.com/learn/certification/data-engineer-associate before you book your seat.

Yes. A free PDF demo of the Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) practice questions is available on the Actual4Cert samples page, so you can check the question style and difficulty before spending anything. Every purchase also includes 365 days of free updates, and if your product expires after that period, you can extend the update service from your member zone at 50% off.

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The Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) syllabus is organized into 6 domains. The leading areas include Data Pipeline Architecture (15-20%), Apache Spark Data Processing Fundamentals (20-25%), and Spark SQL and DataFrames (15-20%). For the complete, topic-by-topic breakdown, scroll up to the Exam Topics section above.

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

Question #1

データ エンジニアは、データ パイプラインの一部として Delta テーブルを使用する必要がありますが、適切な権限があるかどうかがわかりません。
データ エンジニアはどこでテーブルに対する権限を確認できますか?

  • A. ダッシュボード
  • B. 休憩
  • C. ジョブ
  • D. カタログエクスプローラー
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

制約違反に対する ON VIOLATION DROP ROW と ON VIOLATION FAIL UPDATE の影響を識別します。
データ エンジニアは、会社の出張費精算の詳細を管理するために Delta Live テーブルを使用して ETL パイプラインを作成しましたが、従業員が場所の詳細を提供していない場合は、パイプラインを終了する必要があることを確認したいと考えています。
シナリオはどのように実装できますか?

  • A. 制約 valid_location は、DROP ROW では location != NULL を期待します。
  • B. 制約 valid_location EXPECT (location != NULL) ON 違反 FAIL UPDATE
  • C. 制約 valid_location EXPECT (location != NULL) ON 違反 FAIL
  • D. 制約 valid_location EXPECT (location = NULL)
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

データエンジニアが、Lakeflowパイプラインをデプロイするために、宣言型自動化バンドル(旧称:Databricksアセットバンドル)を準備しています。パイプラインが正しい環境にデプロイされるようにするには、ホストURLやルートストレージパスなどのワークスペース固有の設定をバンドルプロジェクト内のどこに定義すればよいでしょうか?

  • A. バンドルのルートディレクトリにあるREADME.mdファイル内
  • B. ローカル開発マシン上のグローバル環境変数
  • C. databricks.ymlファイルのtargetsセクション
  • D. LakeflowパイプラインのPythonソースコード内
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

ある組織はDatabricksでデータパイプラインを実装しており、手動によるクラスタ管理なしに、ワークロードの変化に応じて自動的にスケーリングできることを保証する必要があります。目標は、Databricksがリソースの割り当てと最適化を自動的に処理する中で、高可用性と最小限のダウンタイムを要求する企業のサービスレベル契約(SLA)を満たすことです。
これらの要件を満たすのはどの方法でしょうか?

  • A. スポットインスタンスを使用してリソースを動的に割り当て、コストを最小限に抑えつつ、中断が発生する可能性を排除します。
  • B. 自動スケーリングを行わず、特定のタスク専用の固定構成のジョブクラスタをデプロイします。
  • C. Databricksのサーバーレスコンピューティングを使用して、最小限の手動介入でリソースを自動的にスケーリングおよびプロビジョニングします。
  • D. Databricks のインタラクティブ クラスターを使用し、ワークロードの要求に基づいてクラスター サイズを手動で調整します。
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

Databricksでデータエンジニアとして働く人は、販売分析領域におけるBIクエリのレイテンシとコストを制御する必要があります。Silverテーブルには、検証済みで正規化された販売データと製品データが既に含まれています。チームは、ダッシュボードに適したクエリパフォーマンスを実現し、複雑な結合処理でアナリストに負担をかけることなく、データセットをビジネスコンセプト(例:weekly_sales、account_performance)に整合させたいと考えています。
データエンジニアは、メダリオンアーキテクチャのゴールドレイヤーに対して、どの設計アプローチを選択すべきでしょうか?

  • A. 重複を減らすために、ゴールドでは軽くクレンジングされたビューのみを作成し、シルバーではほとんどのビジネスロジックを保持します。
  • B. ストレージを最小限に抑えるため、すべてのデータをGoldで厳密に正規化し、クエリ時にBIツールを使用してデータを結合します。
  • C. レポートやダッシュボード用に最適化された、非正規化されドメインに整合したテーブルとマテリアライズされた集計 (例: weekly_sales) を作成します。
  • D. 生データ、追記専用のソースデータを直接 Gold に移動して、変換コストを回避し、タイムトラベルを可能にします。
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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