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Every Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) retake costs the full registration fee plus a chunk of your momentum. In 2026, PracticeTorrent's Databricks-Certified-Data-Engineer-Professional日本語 question bank — 250 expert-verified items — remains the efficient insurance policy against both.
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Professional Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Professional |
| Exam Price: | USD 200 |
| Exam Duration: | 120 minutes |
| Available Languages: | Portuguese (Brazil), Japanese, Korean, English |
| Real Exam Qty: | 59-60 |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed |
| Exam Format: | Multiple choice |
| Related Certifications: | Databricks Certified Data Engineer Associate |
| Recommended Training: | Advanced Data Engineering with Databricks Databricks Streaming and Lakeflow Spark Declarative Pipelines |
| Exam Registration: | Databricks Certification Exam Registration |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or in-person test center |
| Pre Condition: | No mandatory prerequisites; 1+ years hands-on data engineering experience and related training highly recommended |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-professional |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cost & Performance Optimisation | 13% | - Improve query and pipeline performance - Apply cost management best practices - Optimize compute and storage resources |
| Topic 2: Data Modelling | 6% | - Design Medallion Architecture - Optimize table design and partitioning - Implement dimensional and relational models |
| Topic 3: Developing Code for Data Processing using Python and SQL | 22% | - Implement complex data processing logic - Write efficient and maintainable code - Use Databricks-specific libraries and APIs |
| Topic 4: Data Sharing and Federation | 5% | - Manage cross-platform data access - Use Delta Sharing for secure data sharing - Implement Lakehouse Federation |
| Topic 5: Ensuring Data Security and Compliance | 10% | - Secure data at rest and in transit - Implement access control and permissions - Ensure data privacy and compliance |
| Topic 6: Data Ingestion & Acquisition | 7% | - Use Auto Loader and structured streaming - Ingest data from diverse sources - Handle incremental and batch data loads |
| Topic 7: Data Transformation, Cleansing, and Quality | 10% | - Apply data cleansing and validation rules - Implement schema evolution and management - Enforce data quality standards |
| Topic 8: Debugging and Deploying | 10% | - Implement CI/CD and DevOps practices - Troubleshoot and debug pipelines - Deploy using Asset Bundles, CLI, and APIs |
| Topic 9: Data Governance | 7% | - Manage data assets and metadata - Use Unity Catalog for governance - Enforce data policies and standards |
| Topic 10: Monitoring and Alerting | 10% | - Monitor pipeline performance and health - Track data lineage and metrics - Set up alerts and notifications |
The Databricks-Certified-Data-Engineer-Professional日本語 exam is Databricks's official assessment for the Databricks Certified Data Engineer Professional certification, which sits at the Professional level. It verifies that you can work with the Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) skill set the way real jobs demand — not merely recognize the terminology. It also belongs to a certification family that includes Databricks Certified Data Engineer Associate, so passing it strengthens your position across multiple career paths. For newcomers and veterans alike, the Databricks-Certified-Data-Engineer-Professional日本語 exam is the kind of credential that converts effort into evidence.
The Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) blueprint contains 10 domains, beginning with Data Transformation, Cleansing, and Quality (10%), Data Ingestion & Acquisition (7%), and Ensuring Data Security and Compliance (10%). Use the weightings like a map of where the points live — the heaviest domains earn the largest share of your study hours. The complete topic list is in the exam topics section above; study against it, and nothing in the exam will feel unannounced.
You're looking at 59-60 questions inside 120 minutes on the Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) exam. Do the division now and memorize your per-question budget; on exam day, anything that blows its budget gets flagged and revisited with leftover time. Timed practice is what makes this instinctive — the PracticeTorrent PC test engine runs time-limited mock exams and scores them automatically, so you arrive already knowing your pace.
Databricks sets the Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) passing score at Not publicly disclosed, and each attempt costs USD 200 — full price every time, retakes included. That makes preparation the cheaper strategy by a wide margin. The practical path: take auto-scored timed mocks with PracticeTorrent practice questions until you clear the passing mark comfortably across multiple runs, then register with confidence grounded in data.
The official Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) format list includes: Multiple choice. Each format rewards a specific skill — scenario items reward careful reading order, multi-select items reward completeness — so practice should cover all of them, not just your favorites. PracticeTorrent's 250 practice questions span the full list, which means the exam's mechanics feel rehearsed and only its content requires thought.
Databricks offers the Databricks-Certified-Data-Engineer-Professional日本語 exam in English, Japanese, Portuguese (Brazil), Korean. Choose the language you process fastest when the clock is running — comprehension speed quietly decides borderline results. If English is your pick, working through PracticeTorrent's English Databricks-Certified-Data-Engineer-Professional日本語 practice questions builds precisely the vocabulary the exam will use against you.
Passing the Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) exam earns a credential valid for 2 years. Record the expiry date as soon as you pass, and look into recertification options well in advance — a renewal planned early is trivial, a lapsed credential is not. Recertification policy belongs to Databricks and changes periodically, so confirm the current rules on the official certification page.
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データ アーキテクトは、Lakehouse 内のすべてのテーブルを外部 Delta Lake テーブルとして構成することを義務付けています。
この要件を確実に満たすには、どのようなアプローチが有効でしょうか?
Correct Answer: B 🗳️
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データエンジニアは、クラウドストレージからDelta LakeテーブルにJSONファイルを取り込むストリーミングデータパイプラインを構築しています。このパイプラインでは、ファイルを段階的に処理し、スキーマの進化を自動的に処理し、1回限りの処理を保証し、手動によるインフラストラクチャ管理を最小限に抑える必要があります。
データ エンジニアはこれらの要件をどのように満たすべきでしょうか?
Correct Answer: B 🗳️
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ほぼリアルタイムのワークロードを容易にするために、データエンジニアはDatabricks Auto Loaderのスキーマ検出および進化機能を活用するヘルパー関数を作成しています。この関数は、ソースのスキーマを自動で直接検出し、ソースディレクトリにJSONファイルが到着すると段階的に処理し、新しいフィールドが検出されるとテーブルのスキーマを自動的に進化させます。
関数は以下に空白で表示されます。
指定された要件を満たすために空欄を正しく埋める回答はどれですか?





Correct Answer: E 🗳️
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以下の各構成は、各クラスターに合計 400 GB の RAM、合計 160 個のコアがあり、VM ごとに 1 つの Executor のみがあるという点では同一です。
完了を保証する必要のある非常に長時間実行されるジョブがある場合、1 つ以上の VM 障害を考慮して、どのクラスター構成でジョブの完了を保証できますか。
Correct Answer: D 🗳️
新人データエンジニアが、KafkaソースをDelta Lakeに書き込むアプリケーションで重要なフィールドが省略されていることに気づきました。この重要なフィールドはKafkaソース内に存在していたにもかかわらず、この問題が発生しました。
このフィールドは、依存する長期ストレージに書き込まれたデータからも欠落していました。Kafkaサービスの保持期間のしきい値は7日間です。パイプラインは3か月間本番環境で稼働しています。
将来的にこのようなデータ損失を回避するために Delta Lake がどのように役立つかを説明していますか?
Correct Answer: A 🗳️
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