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: Oct 20, 2026
Q & A: 250 Questions and Answers
Databricks-Certified-Data-Engineer-Professional日本語 Free Demo download
From a printable PDF to a desktop test engine and an online test engine, PassTorrent covers every stage of Databricks-Certified-Data-Engineer-Professional日本語 preparation in 2026. One purchase gives you 250 practice questions for Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版), 365 days of free updates, and support whenever you need it.
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Professional Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Professional |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple choice |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed |
| Real Exam Qty: | 59-60 |
| Exam Price: | USD 200 |
| Related Certifications: | Databricks Certified Data Engineer Associate |
| Available Languages: | Portuguese (Brazil), English, Japanese, Korean |
| Recommended Training: | Databricks Streaming and Lakeflow Spark Declarative Pipelines Advanced Data Engineering with Databricks |
| 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: Data Transformation, Cleansing, and Quality | 10% | - Enforce data quality standards - Implement schema evolution and management - Apply data cleansing and validation rules |
| Topic 2: Debugging and Deploying | 10% | - Deploy using Asset Bundles, CLI, and APIs - Implement CI/CD and DevOps practices - Troubleshoot and debug pipelines |
| Topic 3: Developing Code for Data Processing using Python and SQL | 22% | - Write efficient and maintainable code - Implement complex data processing logic - Use Databricks-specific libraries and APIs |
| Topic 4: Cost & Performance Optimisation | 13% | - Apply cost management best practices - Improve query and pipeline performance - Optimize compute and storage resources |
| Topic 5: Data Modelling | 6% | - Optimize table design and partitioning - Implement dimensional and relational models - Design Medallion Architecture |
| Topic 6: Ensuring Data Security and Compliance | 10% | - Implement access control and permissions - Secure data at rest and in transit - Ensure data privacy and compliance |
| Topic 7: Data Sharing and Federation | 5% | - Implement Lakehouse Federation - Use Delta Sharing for secure data sharing - Manage cross-platform data access |
| Topic 8: Data Governance | 7% | - Use Unity Catalog for governance - Manage data assets and metadata - Enforce data policies and standards |
| Topic 9: Monitoring and Alerting | 10% | - Monitor pipeline performance and health - Set up alerts and notifications - Track data lineage and metrics |
| Topic 10: Data Ingestion & Acquisition | 7% | - Handle incremental and batch data loads - Ingest data from diverse sources - Use Auto Loader and structured streaming |
The Databricks-Certified-Data-Engineer-Professional日本語 exam, officially titled Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版), is the qualifying exam for the Databricks Certified Data Engineer Professional certification, which sits at the Professional level. Earning it shows employers that you have the skills the credential stands for, and it is a solid step forward on a Databricks career path. It also connects to Databricks Certified Data Engineer Associate, so the effort you put in now keeps paying off as you advance.
The Databricks-Certified-Data-Engineer-Professional日本語 exam gives you 59-60 questions to complete within 120 minutes. Do the math before exam day: divide the total time by the question count to set a steady per-question pace, and flag any item that stalls you so you can return to it after securing the easier points. The most reliable way to build that rhythm is a full timed practice test under the same limit, which is exactly what PassTorrent's test engines are designed for.
The passing score for Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) is Not publicly disclosed, and the official registration fee is USD 200. Keep in mind that a retake means paying that fee again in full, which makes an honest self-check worthwhile: before you book, sit a timed practice test and make sure you are consistently scoring above the passing line with some margin to spare.
According to the official requirements: No mandatory prerequisites; 1+ years hands-on data engineering experience and related training highly recommended. Eligibility rules do change from time to time, so confirm the current details on the official exam page before you register.
Registration for the Databricks-Certified-Data-Engineer-Professional日本語 exam is handled through the official channels below:
The exam is delivered in the following format: Online proctored or in-person test center. Pick a date that leaves room for at least one full timed practice test beforehand.
Databricks recommends the following official training options for candidates preparing for Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版):
Courses build the foundation, but they work best alongside question practice. That is where PassTorrent comes in: the 250 practice questions in our Databricks-Certified-Data-Engineer-Professional日本語 package let you rehearse the exam format at your own pace and see exactly where you stand.
Yes — PassTorrent offers a free PDF demo of the Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) material, so you can review the question style and answer quality before you spend anything. After purchase, you also receive 365 days of free updates, and if your product expires you can extend the update service at a 50% discount from your member zone.
If you take the corresponding exam within 60 days of your purchase and do not pass, you are covered by the 100% Money Back Guarantee under clear conditions. To claim a full refund, submit a scan of your exam enrollment slip and your official Score Report PDF within two days of the exam; requests are processed within seven days. Note that sitting the exam within three days of purchase is not eligible, purchases that were never followed by an exam sitting do not qualify, free materials and expired orders are excluded, and the candidate name must match the payer name. Prefer an exchange instead? You can swap your product for two free exam packages of equal value and keep your update service. Delivery is immediate: your Databricks-Certified-Data-Engineer-Professional日本語 material is ready for instant download and is also emailed to you within one minute of payment — contact customer service if nothing arrives within two hours. There is no limit on the number of computers you can install it on.
The current Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) syllabus is organized into 10 exam domains. The first three are:
For the full domain and subtopic breakdown, see the Exam Topics section above — that is the outline your PassTorrent practice questions are mapped to.
クエリの実行にかかった合計実時間を確認するにはどの方法を使用できますか?
Correct Answer: C 🗳️
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セキュリティチームは、顧客の個人情報(PII)データを含む顧客テーブルのデータ保護を強化したいと考えています。現地のポリシーに準拠するため、営業チームのメンバーは自分の地域の顧客のみを閲覧できるようにし、管理者以外のユーザーのメールアドレスはマスクする必要があります。Unity Catalogの行フィルターと列マスクを使用する場合、どのような実装方法を採用すべきでしょうか?
Correct Answer: A 🗳️
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シニアデータエンジニアが大規模なデータワークフローを計画しています。現在の課題は、大規模データセットの効果的な管理に不可欠な、スケーラブルなデータモデル構築の基盤となる考慮事項を特定することです。データエンジニアリングチームは、最新のデータプラットフォームを構築するためのスケーラブルなデータモデルを構成するコア機能を特定し、Delta Lakeを検討対象とする理由を示しました。シニアデータエンジニアは、有効でない推奨事項を特定する責任を負います。Delta Lakeを評価する際に、どの主要機能を無視してもよいでしょうか?
Correct Answer: B 🗳️
Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).
データ アーキテクトは、データが外部ソースから Databricks Lakehouse に取り込まれたら、テーブル アクセス制御を活用してすべての運用テーブルとビューのアクセス許可を管理することを決定しました。
次のロジックを実行して、運用データベースでの対話型クエリの権限をコア エンジニアリング グループに付与しました。
データベース prod の使用権限を eng に付与します。
データベース prod に対する SELECT 権限を eng に付与します。
これらが eng グループに付与されている唯一の権限であり、これらのユーザーはワークスペース管理者ではないと仮定すると、どのステートメントがそれらの権限について説明していますか?
Correct Answer: C 🗳️
Explanation: Only visible for PassTorrent members. You can sign-up / login (it's free).
データエンジニアは、大規模なETLパイプライン向けにDatabricks CLIを使用してクラスターを作成したいと考えています。クラスターには5つのワーカーとi3.xlargeタイプのドライバー1つ、そして「14.3.x-scala2.12」ランタイムを使用する必要があります。データエンジニアはどのコマンドを使用すべきでしょうか?
Correct Answer: D 🗳️
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