Databricks Certified-Data-Engineer-Professional 試験概要:
| 認定ベンダー: | Databricks |
|---|---|
| 試験名: | Databricks Certified Data Engineer Professional |
| 試験番号: | Certified Data Engineer Professional |
| 対応言語: | 英語 |
| 認定の有効期間: | 2年 |
| 関連資格: | Databricks Certified Data Engineer Associate |
| 試験時間: | 120 分 |
| 試験形式: | 多肢選択式 |
| 合格点: | 現行の公式試験ガイドには合格スコアの記載なし |
| 出題数: | 採点対象問題59問 |
| 受験料: | 200米ドル（現地法令に基づく税金が別途加算される場合あり） |
| サンプル問題: | Databricks Certified-Data-Engineer-Professional サンプル問題 |
| 受験方法: | オンライン監督試験またはテストセンター監督試験 |
| 前提条件: | 必須の前提条件はありません。Databricks は関連コースの受講と、試験範囲のデータエンジニアリング業務における約1年間の実務経験を推奨しています。 |
| 公式シラバスのURL: | https://www.databricks.com/learn/certification/data-engineer-professional |
Databricks Certified-Data-Engineer-Professional 試験シラバストピック:
| セクション | 目標 |
|---|---|
| デバッグとデプロイ | - CI/CD のデプロイ
|
| データの取り込みと収集 | - データ取り込みパイプラインの設計と実装
|
| データセキュリティとコンプライアンスの確保 | - コンプライアンス
|
| データガバナンス | - Unity Catalog の権限管理
|
| データ変換・クレンジング・品質管理 | - 高度なデータ変換
|
| コストとパフォーマンスの最適化 | - Delta の最適化
|
| PythonおよびSQLを使用したデータ処理コードの開発 | - 開発におけるPythonおよびツールの活用
|
| 監視とアラート | - 監視
|
| データモデリング | - スケーラブルなデータモデル
|
| データ共有とフェデレーション | - Delta Sharing
|
Databricks Certified Data Engineer Professional 認定 Certified-Data-Engineer-Professional 試験問題：
問題 #1
The data engineer is using Spark's MEMORY_ONLY storage level. Which indicators should the data engineer look for in the spark UI's Storage tab to signal that a cached table is not performing optimally?
A. The RDD Block Name included the '' annotation signaling failure to cache
B. Size on Disk is> 0
C. On Heap Memory Usage is within 75% of off Heap Memory usage
D. Size on Disk is < Size in Memory
E. The number of Cached Partitions> the number of Spark Partitions
問題 #2
The security team is exploring whether or not the Databricks secrets module can be leveraged for connecting to an external database.
After testing the code with all Python variables being defined with strings, they upload the password to the secrets module and configure the correct permissions for the currently active user. They then modify their code to the following (leaving all other variables unchanged).
Which statement describes what will happen when the above code is executed?
A. The connection to the external table will fail; the string "redacted" will be printed.
B. The connection to the external table will succeed; the string "redacted" will be printed.
C. The connection to the external table will succeed; the string value of password will be printed in plain text.
D. An interactive input box will appear in the notebook; if the right password is provided, the connection will succeed and the encoded password will be saved to DBFS.
E. An interactive input box will appear in the notebook; if the right password is provided, the connection will succeed and the password will be printed in plain text.
問題 #3
A view is registered with the following code:
Both users and orders are Delta Lake tables.
Which statement describes the results of querying recent_orders?
A. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.
B. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.
C. All logic will execute when the table is defined and store the result of joining tables to the DBFS; this stored data will be returned when the table is queried.
D. The versions of each source table will be stored in the table transaction log; query results will be saved to DBFS with each query.
問題 #4
A data architect is designing a Databricks solution to efficiently process data for different business requirements. In which scenario should a data engineer use a materialized view compared to a streaming table?
A. Ingesting data from Apache Kafka topics with sub-second processing requirements for immediate alerting.
B. Processing high-volume, continuous clickstream data from a website to monitor user behavior in real-time.
C. Precomputing complex aggregations and joins from multiple large tables to accelerate BI dashboard performance.
D. Implementing a CDC (Change Data Capture) pipeline that needs to detect and respond to database changes within seconds.
問題 #5
A junior data engineer has configured a workload that posts the following JSON to the Databricks REST API endpoint 2.0/jobs/create.
Assuming that all configurations and referenced resources are available, which statement describes the result of executing this workload three times?
A. Three new jobs named "Ingest new data" will be defined in the workspace, but no jobs will be executed.
B. Three new jobs named "Ingest new data" will be defined in the workspace, and they will each run once daily.
C. The logic defined in the referenced notebook will be executed three times on new clusters with the configurations of the provided cluster ID.
D. The logic defined in the referenced notebook will be executed three times on the referenced existing all purpose cluster.
E. One new job named "Ingest new data" will be defined in the workspace, but it will not be executed.
解説：
| 問題 #1 正解： B | 問題 #2 正解： B | 問題 #3 正解： B | 問題 #4 正解： C | 問題 #5 正解： A |
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