[2023年12月04日] 完全版には更新されたのはDatabricks Certification(Databricks-Certified-Data-Engineer-Associate)認定サンプル問題 [Q11-Q29]

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[2023年12月04日] 完全版には更新されたのはDatabricks Certification(Databricks-Certified-Data-Engineer-Associate)認定サンプル問題

最新のDatabricks Databricks-Certified-Data-Engineer-Associateリアル試験問題集PDF

質問 # 11
A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day.
They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.
Which of the following approaches could be used by the data engineering team to complete this task?

  • A. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
  • B. They could only run the entire program on Sundays.
  • C. They could submit a feature request with Databricks to add this functionality.
  • D. They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
  • E. They could redesign the data model to separate the data used in the final query into a new table.

正解:A


質問 # 12
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?

  • A. The ability to support batch and streaming workloads
  • B. The ability to collaborate in real time on a single notebook
  • C. The ability to distribute complex data operations
  • D. The ability to manipulate the same data using a variety of languages
  • E. The ability to set up alerts for query failures

正解:A


質問 # 13
A data engineer wants to create a new table containing the names of customers that live in France.
They have written the following command:

A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (PII).
Which of the following lines of code fills in the above blank to successfully complete the task?

  • A. COMMENT "Contains PII"
  • B. TBLPROPERTIES PII
  • C. PII
  • D. There is no way to indicate whether a table contains PII.
  • E. "COMMENT PII"

正解:B


質問 # 14
Which of the following Git operations must be performed outside of Databricks Repos?

  • A. Push
  • B. Commit
  • C. Clone
  • D. Pull
  • E. Merge

正解:C


質問 # 15
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?

  • A. DROP
  • B. IGNORE
  • C. APPEND
  • D. INSERT
  • E. MERGE

正解:E


質問 # 16
A data engineer wants to schedule their Databricks SQL dashboard to refresh once per day, but they only want the associated SQL endpoint to be running when it is necessary.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

  • A. They can set up the dashboard's SQL endpoint to be serverless.
  • B. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
  • C. They can turn on the Auto Stop feature for the SQL endpoint.
  • D. They can reduce the cluster size of the SQL endpoint.
  • E. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.

正解:C


質問 # 17
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?

  • A. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.
  • B. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
  • C. They can set up DLT to notify them via email when records are dropped.
  • D. They cannot determine which table is dropping the records.
  • E. They can set up separate expectations for each table when developing their DLT pipeline.

正解:B


質問 # 18
A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?

  • A. Databricks Repos is wholly housed within the Databricks Lakehouse Platform
  • B. Databricks Repos automatically saves development progress
  • C. Databricks Repos supports the use of multiple branches
  • D. Databricks Repos allows users to revert to previous versions of a notebook
  • E. Databricks Repos provides the ability to comment on specific changes

正解:C


質問 # 19
Which of the following describes a scenario in which a data team will want to utilize cluster pools?

  • A. An automated report needs to be tested to identify errors.
  • B. An automated report needs to be version-controlled across multiple collaborators.
  • C. An automated report needs to be refreshed as quickly as possible.
  • D. An automated report needs to be runnable by all stakeholders.
  • E. An automated report needs to be made reproducible.

正解:D


質問 # 20
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:A


質問 # 21
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.delta.table("sales")
  • B. spark.sql("sales")
  • C. SELECT * FROM sales
  • D. spark.table("sales")
  • E. There is no way to share data between PySpark and SQL.

正解:A


質問 # 22
A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team's queries uses the same SQL endpoint.
Which of the following approaches can the data engineering team use to improve the latency of the team's queries?

  • A. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
    "Reliability Optimized."
  • B. They can increase the maximum bound of the SQL endpoint's scaling range.
  • C. They can turn on the Auto Stop feature for the SQL endpoint.
  • D. They can increase the cluster size of the SQL endpoint.
  • E. They can turn on the Serverless feature for the SQL endpoint.

正解:B


質問 # 23
Which of the following data lakehouse features results in improved data quality over a traditional data lake?

  • A. A data lakehouse enables machine learning and artificial Intelligence workloads.
  • B. A data lakehouse provides storage solutions for structured and unstructured data.
  • C. A data lakehouse stores data in open formats.
  • D. A data lakehouse allows the use of SQL queries to examine data.
  • E. A data lakehouse supports ACID-compliant transactions.

正解:D


質問 # 24
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 HISTORY command was run on the table
  • B. The VACUUM command was run on the table
  • C. The TIME TRAVEL command was run on the table
  • D. The OPTIMIZE command was nun on the table
  • E. The DELETE HISTORY command was run on the table

正解:E


質問 # 25
Which of the following commands will return the location of database customer360?

  • A. USE DATABASE customer360;
  • B. ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};
  • C. DROP DATABASE customer360;
  • D. DESCRIBE DATABASE customer360;
  • E. DESCRIBE LOCATION customer360;

正解:D


質問 # 26
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. Database
  • B. Temporary view
  • C. Function
  • D. Table
  • E. View

正解:E


質問 # 27
Which of the following describes the relationship between Gold tables and Silver tables?

  • A. Gold tables are more likely to contain aggregations than Silver tables.
  • B. Gold tables are more likely to contain more data than Silver tables.
  • C. Gold tables are more likely to contain valuable data than Silver tables.
  • D. Gold tables are more likely to contain truthful data than Silver tables.
  • E. Gold tables are more likely to contain a less refined view of data than Silver tables.

正解:E


質問 # 28
Which of the following describes the relationship between Bronze tables and raw data?

  • A. Bronze tables contain a less refined view of data than raw data.
  • B. Bronze tables contain aggregates while raw data is unaggregated.
  • C. Bronze tables contain raw data with a schema applied.
  • D. Bronze tables contain more truthful data than raw data.
  • E. Bronze tables contain less data than raw data files.

正解:B


質問 # 29
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Databricks-Certified-Data-Engineer-Associate練習テスト問題更新されたのは47問があります:https://drive.google.com/open?id=1fwCLumfqSSNVU7srIbOV1-7kLnboOVuy


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