便利なDatabricks-Certified-Data-Engineer-Associate認定試験 & 合格スムーズDatabricks-Certified-Data-Engineer-Associate最速合格 | 実際的なDatabricks-Certified-Data-Engineer-Associate資格講座 Databricks Certified Data Engineer Associate Exam購入前にFast2testが提供した無料のDatabricks-Certified-Data-Engineer-Associate問題集をダウンロードできます。自分の練習を通して、試験のまえにうろたえないでしょう。Fast2testを選択して専門性の訓練が君のDatabricks-Certified-Data-Engineer-Associate試験によいだと思います。
Databricks-Certified-Data-Engineer-Associate Examは、ベンダーに中立な認証であり、特定のテクノロジーやプラットフォームに結び付けられていないことを意味します。これにより、さまざまな役割や産業に適用できる非常に用途の広い資格となります。また、グローバルに認識されており、さまざまな国や地域で働くことを検討しているデータエンジニアにとって貴重な資産となっています。 Databricks Certified Data Engineer Associate Exam 認定 Databricks-Certified-Data-Engineer-Associate 試験問題 (Q129-Q134):質問 # 129
A new data engineering team team. has been assigned to an ELT project. The new data engineering team will need full privileges on the database customers to fully manage the project.
Which of the following commands can be used to grant full permissions on the database to the new data engineering team?
A. GRANT USAGE ON DATABASE customers TO team;
B. GRANT SELECT PRIVILEGES ON DATABASE customers TO teams;
C. GRANT SELECT CREATE MODIFY USAGE PRIVILEGES ON DATABASE customers TO team;
D. GRANT ALL PRIVILEGES ON DATABASE team TO customers;
E. GRANT ALL PRIVILEGES ON DATABASE customers TO team;
正解：E
解説：
To grant full permissions on a database to a user, group, or service principal, the GRANT ALL PRIVILEGES ON DATABASE command can be used. This command grants all the applicable privileges on the database, such as CREATE, SELECT, MODIFY, and USAGE. The other options are either incorrect or incomplete, as they do not grant all the privileges or specify the wrong database or principal. References:
* GRANT
* Privileges
質問 # 130
Which of the following is stored in the Databricks customer's cloud account?
A. Cluster management metadata
B. Data
C. Notebooks
D. Databricks web application
E. Repos
正解：B
質問 # 131
In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?
A. Checkpointing and Idempotent Sinks
B. Write-ahead Logs and Idempotent Sinks
C. Checkpointing and Write-ahead Logs
D. Structured Streaming cannot record the offset range of the data being processed in each trigger.
E. Replayable Sources and Idempotent Sinks
正解：C
解説：
Explanation
The engine uses checkpointing and write-ahead logs to record the offset range of the data being processed in each trigger. -- in the link search for "The engine uses " youll find the answer.https://spark.apache.org/docs/la ... :~:text=The%20engin
質問 # 132
Which file format is used for storing Delta Lake Table?
A. Parquet
B. Delta
C. SV
D. JSON
正解：A
解説：
Delta Lake tables use the Parquet format as their underlying storage format. Delta Lake enhances Parquet by adding a transaction log that keeps track of all the operations performed on the table. This allows features like ACID transactions, scalable metadata handling, and schema enforcement, making it an ideal choice for big data processing and management in environments like Databricks.
Reference:
Databricks documentation on Delta Lake: Delta Lake Overview
質問 # 133
A data engineer has been provided a PySpark DataFrame named df with columns product and revenue. The data engineer needs to compute complex aggregations to determine each product's total revenue, average revenue, and transaction count.
Which code snippet should the data engineer use?
