A study guide frozen in time is a liability when the live exam keeps moving. Actual4Exams revises its 250 Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) practice questions continuously, and every 2026 purchase includes 365 days of free updates so your material never drifts out of date.
Databricks Databricks-Certified-Data-Engineer-Professional日本語 Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Professional Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Professional |
| Exam Price: | USD 200 |
| Certificate Validity Period: | 2 years |
| Available Languages: | Portuguese (Brazil), Japanese, Korean, English |
| Exam Duration: | 120 minutes |
| Passing Score: | Not publicly disclosed |
| Real Exam Qty: | 59-60 |
| Exam Format: | Multiple choice |
| Related Certifications: | Databricks Certified Data Engineer Associate |
| 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 |
Databricks Databricks-Certified-Data-Engineer-Professional日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Monitoring and Alerting | 10% | - Track data lineage and metrics - Set up alerts and notifications - Monitor pipeline performance and health |
| Data Transformation, Cleansing, and Quality | 10% | - Apply data cleansing and validation rules - Implement schema evolution and management - Enforce data quality standards |
| Debugging and Deploying | 10% | - Deploy using Asset Bundles, CLI, and APIs - Troubleshoot and debug pipelines - Implement CI/CD and DevOps practices |
| Data Ingestion & Acquisition | 7% | - Handle incremental and batch data loads - Ingest data from diverse sources - Use Auto Loader and structured streaming |
| Data Sharing and Federation | 5% | - Implement Lakehouse Federation - Use Delta Sharing for secure data sharing - Manage cross-platform data access |
| Ensuring Data Security and Compliance | 10% | - Secure data at rest and in transit - Implement access control and permissions - Ensure data privacy and compliance |
| Data Modelling | 6% | - Optimize table design and partitioning - Design Medallion Architecture - Implement dimensional and relational models |
| Developing Code for Data Processing using Python and SQL | 22% | - Write efficient and maintainable code - Use Databricks-specific libraries and APIs - Implement complex data processing logic |
| Cost & Performance Optimisation | 13% | - Improve query and pipeline performance - Optimize compute and storage resources - Apply cost management best practices |
| Data Governance | 7% | - Manage data assets and metadata - Use Unity Catalog for governance - Enforce data policies and standards |
Databricks-Certified-Data-Engineer-Professional日本語 Exam Questions Answered: Databricks Candidates' FAQ
Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) is an official exam run by Databricks under exam code Databricks-Certified-Data-Engineer-Professional日本語. Passing it awards the Databricks Certified Data Engineer Professional certification, which sits at the Professional tier. It also counts toward related credentials such as Databricks Certified Data Engineer Associate. Certified professionals remain in shorter supply than the market wants, which is precisely why this exam keeps showing up in conversations about better roles and better pay.
The Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) exam gives you 120 minutes to work through 59-60 questions. That is a tight ratio, and it punishes candidates who get emotionally attached to any single item. The fix is mechanical: answer what you know, flag what you do not, and keep moving. A few full-length timed runs in the Actual4Exams test engine, with its randomized question order, will calibrate your pace far better than untimed reading ever could.
The official fee for Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) is USD 200, and Not publicly disclosed is what passing takes. The uncomfortable part: retakes cost the full USD 200 again, which makes preparation the cheapest line item in this whole project. Before booking, put yourself through repeated scored sessions with the Actual4Exams practice tests and compare results over time; a stable margin above the passing line, not a single lucky run, is when you are ready.
No mandatory prerequisites; 1+ years hands-on data engineering experience and related training highly recommended
Vendor rules do get revised, so treat this as your starting point and confirm the current eligibility details before booking via the official exam page.
Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) registration runs through these official channels.
Worth noting when you schedule: the exam is delivered Online proctored or in-person test center.
Yes, Databricks points Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) candidates toward the following training.
- Advanced Data Engineering with Databricks
- Databricks Streaming and Lakeflow Spark Declarative Pipelines
Whatever course you choose, close the loop with question practice: the 250 items in the Actual4Exams Databricks-Certified-Data-Engineer-Professional日本語 package convert course knowledge into exam-day scoring ability.
It is. Actual4Exams publishes a free PDF demo of the Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) material, so the product can prove itself before you pay. Your purchase then comes with 365 days of free updates, and once that period ends, extending the update service costs 50% of the regular price. The test engine software itself is verified malware-free and safe to install.
Actual4Exams stands behind the product with a 100% money-back guarantee under defined conditions. If you take the Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) exam within 60 days of purchase and fail, you qualify for a full refund, provided the exam corresponds to your product. Sitting the exam within 3 days of purchase does not qualify, and neither do unused downloads, free materials, or expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are resolved within 7 days. You may also choose an exchange instead of a refund: two other exam products of equal value, free, with the update service on your original purchase retained.
Delivery takes about a minute. Files unlock for instant download at payment and are emailed to you automatically; if 2 hours pass with nothing received, check spam and contact customer service. There is no installation limit, so the test engine can live on every device you own, phone included.
Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) breaks down into 10 official domains, led by Developing Code for Data Processing using Python and SQL (22%), Data Ingestion & Acquisition (7%), and Ensuring Data Security and Compliance (10%). You will find the full topic-by-topic outline above on this page; use the weightings to budget your study hours where they pay back the most.
Databricks Certified Data Engineer Professional Exam (Databricks-Certified-Data-Engineer-Professional日本語版) Sample Questions:
データエンジニアは、複雑な結合と大規模なデータセットを含むDatabricks SQL上で実行速度が遅いDelta Lakeクエリのトラブルシューティングを行っています。根本原因が、不適切なデータスキップ、非効率的な結合戦略、あるいは過剰なデータシャッフルのいずれに関連しているかを特定する必要があります。ネイティブのDatabricksツールを用いて、具体的なボトルネックを特定するには、どのアプローチが適切でしょうか？
- A. EXPLAIN コマンドを有効にして、解析された論理プランを確認し、シャッフル サイズを手動で推定します。
- B. LIMIT 句を使用してクエリのサブセットを実行し、実行時間を完全なデータセットと比較します。
- C. ジョブ UI でクエリの実行時間を確認し、クラスター リソース使用率メトリックと相関させます。
- D. クエリプロファイルの上位演算子パネルを分析して、BroadcastNestedLoopJoin などの高コスト操作を特定します。
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データエンジニアは、チームメイトが作成した新しいSparkアプリケーションを本番環境に移行する必要があります。このアプリケーションには、ライブラリを含む多数の外部依存関係があり、カスタム環境変数とSpark構成パラメータを設定する必要があります。データエンジニアがこのタスクを達成するのに役立つ2つの方法はどれですか？(2つ選択してください。)
- A. コンピューティング ポリシーを使用して、システム プロパティ、環境変数、および Spark 構成パラメータを設定します。
- B. DBFSにライブラリをインストールする
- C. コンピューティングポリシーにライブラリを追加する
- D. 初期化スクリプトでシークレットを使用して設定データを保存します
- E. DBFS 上に init スクリプトを作成します。
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テキスト エディターで表示すると、Databricks Python ノートブックの最初の行は何になりますか?
- A. %python
- B. // Databricks notebook source
- C. # Databricks notebook source
- D. -- Databricks notebook source
- E. # MAGIC %python
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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 (「管理されていない」とも呼ばれる) 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?
- A. データをテーブルに保存するときは、Delta 形式とともに完全なファイル パスが指定されていることを確認してください。
- B. すべてのテーブル ストレージに対して外部データ ウェアハウスを構成する場合は、すべての ELT に Databricks を活用します。
- C. ワークスペースを構成するときは、外部クラウド オブジェクト ストレージがマウントされていることを確認してください。
- D. テーブルを作成するときは、CREATE TABLE ステートメントで EXTERNAL キーワードが使用されていることを確認します。
- E. データベースを作成するときは、LOCATION キーワードが使用されていることを確認してください。
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データエンジニアリングチームには、3つのデータソースからのデータ取り込みジョブに時間のかかる作業があります。各ノートブックで新しいデータを読み込むのに約1時間かかります。ある日、ノートブックの更新によって新しい必須構成パラメータが導入されたため、ジョブが失敗しました。チームは迅速に問題を解決し、失敗したソースから最新のデータを読み込む必要があります。チームはどのような対応を取るべきでしょうか？
- A. 不足しているタスク パラメータを追加してタスクを更新し、ジョブを手動で実行します。
- B. 新しいパラメータを使用して実行を修復し、不足しているタスクパラメータを追加してタスクを更新します。
- C. 問題のあるノートブックの所有者と分析を共有し、すぐに修正できるようにします。
- D. 新しいパラメータを使用して実行を修復します。
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