- Exam Code: Databricks-Certified-Data-Engineer-Professional-JPN
- Exam Name: Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版)
- Updated: Sep 12, 2026
- Q & A: 250 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Data Modelling | 6% | - Design Medallion Architecture - Implement dimensional and relational models - Optimize table design and partitioning |
| Debugging and Deploying | 10% | - Troubleshoot and debug pipelines - Deploy using Asset Bundles, CLI, and APIs - Implement CI/CD and DevOps practices |
| Ensuring Data Security and Compliance | 10% | - Ensure data privacy and compliance - Implement access control and permissions - Secure data at rest and in transit |
| Developing Code for Data Processing using Python and SQL | 22% | - Use Databricks-specific libraries and APIs - Write efficient and maintainable code - Implement complex data processing logic |
| Data Transformation, Cleansing, and Quality | 10% | - Apply data cleansing and validation rules - Implement schema evolution and management - Enforce data quality standards |
| Cost & Performance Optimisation | 13% | - Apply cost management best practices - Improve query and pipeline performance - Optimize compute and storage resources |
| Data Governance | 7% | - Manage data assets and metadata - Use Unity Catalog for governance - Enforce data policies and standards |
| Data Ingestion & Acquisition | 7% | - Use Auto Loader and structured streaming - Handle incremental and batch data loads - Ingest data from diverse sources |
| Monitoring and Alerting | 10% | - Monitor pipeline performance and health - Set up alerts and notifications - Track data lineage and metrics |
| Data Sharing and Federation | 5% | - Manage cross-platform data access - Use Delta Sharing for secure data sharing - Implement Lakehouse Federation |
Delta Lake Auto Compaction について説明している記述はどれですか?
Correct Answer: E 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
データエンジニアは、削除ベクトルが有効になっているDeltaテーブルordersを所有しています。エンジニアは次のコマンドを実行します。
DELETE FROM orders WHERE status = 'cancelled';
コマンドが実行されたときの削除ベクトルの動作はどうなりますか?
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
プラットフォームチームは、CI/CDをサポートするために、Databricks Asset Bundlesの標準化されたテンプレートを作成しています。このテンプレートでは、アーティファクト、ワークスペースのルートパス、実行IDのデフォルトを指定する必要があります。また、「dev」ターゲットをデフォルトとして特定のパスをオーバーライドできるようにする必要があります。これらの要件を満たすために、チームはdatabricks.ymlをどのように使用すべきでしょうか?
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
プラットフォームエンジニアは、すべてのワークスペースにおけるSKU階層別に分類されたリソース消費量をレポートする必要があります。エンジニアは、system.billing.usageシステムテーブルを使用してクエリを作成することにしました。製品ごとの日次使用量を正確に返すSQLクエリはどれですか?




Correct Answer: D 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
Delta Lakeテーブルの下流のコンシューマーから、データ品質の問題がアプリケーションのパフォーマンスに影響を与えているとの苦情が寄せられています。具体的には、activity_detailsテーブル内の無効な緯度と経度の値が、他の地理位置情報処理の利用に支障をきたしているとの苦情です。
ジュニア エンジニアが Delta Lake テーブルに CHECK 制約を追加する次のコードを作成しました。
上級エンジニアは上記のロジックが正しく、緯度と経度の有効な範囲が提供されていることを確認しましたが、コードを実行すると失敗します。
この失敗の原因を説明している記述はどれですか?
Correct Answer: E 🗳️
Explanation: Only visible for Exam4Tests members. You can sign-up / login (it's free).
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