最適な練習法にはDatabricks Databricks-Certified-Data-Engineer-Associate問題集で素晴らしいDatabricks-Certified-Data-Engineer-Associate試験問題PDF
更新された検証済みの合格させるDatabricks-Certified-Data-Engineer-Associate試験リアル問題と解答
GAQM Databricks-Certified-Data-Engineer-Associate（Databricks Certified Data Engineer Associate）認定試験は、データの専門家にとって非常に求められている認定です。この認定は、ビッグデータとデータエンジニアリングを使用している個人の知識とスキルをテストするように設計されています。この試験では、データモデリング、ETLプロセス、データウェアハウジング、データ分析など、幅広いトピックをカバーしています。
質問 # 26
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The cade block used by the data engineer is below:
If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?
- A. trigger(processingTime="5 seconds")
- B. trigger()
- C. trigger("5 seconds")
- D. trigger(once="5 seconds")
- E. trigger(continuous="5 seconds")
正解：A
質問 # 27
A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.
Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?
- A. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
MERGE SELECT * FROM april_transactions; - B. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INTERSECT SELECT * from april_transactions; - C. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INNER JOIN SELECT * FROM april_transactions; - D. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
OUTER JOIN SELECT * FROM april_transactions; - E. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
UNION SELECT * FROM april_transactions;
正解：E
質問 # 28
A data engineer only wants to execute the final block of a Python program if the Python variable day_of_week is equal to 1 and the Python variable review_period is True.
Which of the following control flow statements should the data engineer use to begin this conditionally executed code block?
- A. if day_of_week = 1 and review_period:
- B. if day_of_week = 1 & review_period: = "True":
- C. if day_of_week == 1 and review_period:
- D. if day_of_week == 1 and review_period == "True":
- E. if day_of_week = 1 and review_period = "True":
正解：D
質問 # 29
A data engineer is attempting to drop a Spark SQL table my_table. The data engineer wants to delete all table metadata and data.
They run the following command:
DROP TABLE IF EXISTS my_table
While the object no longer appears when they run SHOW TABLES, the data files still exist.
Which of the following describes why the data files still exist and the metadata files were deleted?
- A. The table did not have a location
- B. The table's data was smaller than 10 GB
- C. The table's data was larger than 10 GB
- D. The table was external
- E. The table was managed
正解：D
質問 # 30
A data engineer wants to create a data entity from a couple of tables. The data entity must be used by other data engineers in other sessions. It also must be saved to a physical location.
Which of the following data entities should the data engineer create?
- A. Table
- B. View
- C. Function
- D. Temporary view
- E. Database
正解：B
質問 # 31
A data engineer has a single-task Job that runs each morning before they begin working. After identifying an upstream data issue, they need to set up another task to run a new notebook prior to the original task.
Which of the following approaches can the data engineer use to set up the new task?
- A. They can clone the existing task to a new Job and then edit it to run the new notebook.
- B. They can clone the existing task in the existing Job and update it to run the new notebook.
- C. They can create a new task in the existing Job and then add it as a dependency of the original task.
- D. They can create a new job from scratch and add both tasks to run concurrently.
- E. They can create a new task in the existing Job and then add the original task as a dependency of the new task.
正解：A
質問 # 32
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?
- A. INSERT
- B. IGNORE
- C. APPEND
- D. MERGE
- E. DROP
正解：D
質問 # 33
An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query.
For the first week following the project's release, the managerwants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project's release.
Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project's release?
- A. They can set the query's refresh schedule to end on a certain date in the query scheduler.
- B. They cannot ensure the query does not cost the organization money beyond the first week of the project's release.
- C. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
- D. They can set the query's refresh schedule to end after a certain number of refreshes.
- E. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
正解：A
質問 # 34
Which of the following data lakehouse features results in improved data quality over a traditional data lake?
- A. A data lakehouse allows the use of SQL queries to examine data.
- B. A data lakehouse enables machine learning and artificial Intelligence workloads.
- C. A data lakehouse stores data in open formats.
- D. A data lakehouse supports ACID-compliant transactions.
- E. A data lakehouse provides storage solutions for structured and unstructured data.
正解：A
質問 # 35
A data analyst has created a Delta table sales that is used by the entire data analysis team. They want help from the data engineering team to implement a series of tests to ensure the data is clean. However, the data engineering team uses Python for its tests rather than SQL.
Which of the following commands could the data engineering team use to access sales in PySpark?
- A. spark.table("sales")
- B. spark.sql("sales")
- C. spark.delta.table("sales")
- D. There is no way to share data between PySpark and SQL.
- E. SELECT * FROM sales
正解：C
質問 # 36
A data engineer has realized that they made a mistake when making a daily update to a table. They need to use Delta time travel to restore the table to a version that is 3 days old. However, when the data engineer attempts to time travel to the older version, they are unable to restore the data because the data files have been deleted.
Which of the following explains why the data files are no longer present?
- A. The DELETE HISTORY command was run on the table
- B. The TIME TRAVEL command was run on the table
- C. The VACUUM command was run on the table
- D. The HISTORY command was run on the table
- E. The OPTIMIZE command was nun on the table
正解：A
質問 # 37
A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?
- A.
- B.
- C.
- D.
- E.
正解：C
質問 # 38
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
They run the following command:
Which of the following lines of code fills in the above blank to successfully complete the task?
- A. org.apache.spark.sql.sqlite
- B. sqlite
- C. DELTA
- D. autoloader
- E. org.apache.spark.sql.jdbc
正解：A
質問 # 39
A data organization leader is upset about the data analysis team's reports being different from the data engineering team's reports. The leader believes the siloed nature of their organization's data engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?
- A. Both teams would use the same source of truth for their work
- B. Both teams would autoscale their work as data size evolves
- C. Both teams would respond more quickly to ad-hoc requests
- D. Both teams would be able to collaborate on projects in real-time
- E. Both teams would reorganize to report to the same department
正解：A
質問 # 40
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
- A. The ability to distribute complex data operations
- B. The ability to manipulate the same data using a variety of languages
- C. The ability to collaborate in real time on a single notebook
- D. The ability to support batch and streaming workloads
- E. The ability to set up alerts for query failures
正解：D
質問 # 41
A new data engineering team has been assigned to work on a project. The team will need access to database customers in order to see what tables already exist. The team has its own group team.
Which of the following commands can be used to grant the necessary permission on the entire database to the new team?
- A. GRANT CREATE ON DATABASE team TO customers;
- B. GRANT USAGE ON CATALOG team TO customers;
- C. GRANT CREATE ON DATABASE customers TO team;
- D. GRANT VIEW ON CATALOG customers TO team;
- E. GRANT USAGE ON DATABASE customers TO team;
正解：E
質問 # 42
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Databricks-Certified-Data-Engineer-Associate試験は、成功するデータエンジニアに必要なタスクを実行する能力を持つ候補者を評価します。この試験は、データ抽出、変換、およびロード（ETL）、データモデリング、データウェアハウジング、および機械学習など、幅広いトピックをカバーしています。この試験に合格した個人は、Databricks内でデータを統合、操作、保護、および監視するための専門知識を持っています。
更新されたPDF（2023年最新）実際にあるDatabricks Databricks-Certified-Data-Engineer-Associate試験問題：https://www.passtest.jp/Databricks/Databricks-Certified-Data-Engineer-Associate-shiken.html
問題集返金保証付きのDatabricks-Certified-Data-Engineer-Associate問題集公式問題集：https://drive.google.com/open?id=18AwKmn-PfMc8KPlvT5-eA6UPOMI_sPx-