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NEW QUESTION # 16
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 cannot ensure the query does not cost the organization money beyond the first week of the project's release.
• B. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
• C. They can set the query's refresh schedule to end after a certain number of refreshes.
• D. They can set the query's refresh schedule to end on a certain date in the query scheduler.
• E. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.

Answer: D

NEW QUESTION # 17
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?

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

Answer: D

NEW QUESTION # 18
Which of the following code blocks will remove the rows where the value in column age is greater than 25 from the existing Delta table my_table and save the updated table?

• A. UPDATE my_table WHERE age > 25;
• B. SELECT * FROM my_table WHERE age > 25;
• C. DELETE FROM my_table WHERE age <= 25;
• D. UPDATE my_table WHERE age <= 25;
• E. DELETE FROM my_table WHERE age > 25;

Answer: E

NEW QUESTION # 19
Which of the following describes the relationship between Bronze tables and raw data?

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

Answer: D

NEW QUESTION # 20
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. Temporary view
• B. Table
• C. Function
• D. View
• E. Database

Answer: D

NEW QUESTION # 21
Which of the following describes the relationship between Gold tables and Silver tables?

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

Answer: B

NEW QUESTION # 22
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 made reproducible.
• B. An automated report needs to be tested to identify errors.
• C. An automated report needs to be version-controlled across multiple collaborators.
• D. An automated report needs to be refreshed as quickly as possible.
• E. An automated report needs to be runnable by all stakeholders.

Answer: E

NEW QUESTION # 23
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. TBLPROPERTIES PII
• B. COMMENT "Contains PII"
• C. PII
• D. "COMMENT PII"
• E. There is no way to indicate whether a table contains PII.

Answer: A

NEW QUESTION # 24
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 set up separate expectations for each table when developing their DLT pipeline.
• C. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
• D. They cannot determine which table is dropping the records.
• E. They can set up DLT to notify them via email when records are dropped.

Answer: C

NEW QUESTION # 25
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?

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

Answer: E

NEW QUESTION # 26
Which of the following describes the storage organization of a Delta table?

• A. Delta tables are stored in a single file that contains only the data stored within the table.
• B. Delta tables are stored in a collection of files that contain only the data stored within the table.
• C. Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes.
• D. Delta tables store their data in a single file and all metadata in a collection of files in a separate location.
• E. Delta tables are stored in a single file that contains data, history, metadata, and other attributes.

Answer: C

NEW QUESTION # 27
A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job's current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?

• A. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
• B. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
• C. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
• D. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.
• E. There is no way to determine why a Job task is running slowly.

Answer: C

NEW QUESTION # 28
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. Structured Streaming cannot record the offset range of the data being processed in each trigger.
• B. Checkpointing and Write-ahead Logs
• C. Write-ahead Logs and Idempotent Sinks
• D. Replayable Sources and Idempotent Sinks
• E. Checkpointing and Idempotent Sinks

Answer: E

NEW QUESTION # 29
Which of the following benefits is provided by the array functions from Spark SQL?

• A. An ability to work with data within certain partitions and windows
• B. An ability to work with complex, nested data ingested from JSON files
• C. An ability to work with data in a variety of types at once
• D. An ability to work with time-related data in specified intervals
• E. An ability to work with an array of tables for procedural automation

Answer: A

NEW QUESTION # 30
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 reorganize to report to the same department
• 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 use the same source of truth for their work
• E. Both teams would be able to collaborate on projects in real-time

Answer: D

NEW QUESTION # 31
A data engineer has left the organization. The data team needs to transfer ownership of the data engineer's Delta tables to a new data engineer. The new data engineer is the lead engineer on the data team.
Assuming the original data engineer no longer has access, which of the following individuals must be the one to transfer ownership of the Delta tables in Data Explorer?

• A. Original data engineer
• B. Workspace administrator
• C. New lead data engineer
• D. Databricks account representative
• E. This transfer is not possible

Answer: C

NEW QUESTION # 32
Which of the following tools is used by Auto Loader process data incrementally?

• A. Unity Catalog
• B. Databricks SQL
• C. Data Explorer
• D. Spark Structured Streaming
• E. Checkpointing

Answer: D

NEW QUESTION # 33
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. There is no way to share data between PySpark and SQL.
• C. SELECT * FROM sales
• D. spark.table("sales")
• E. spark.sql("sales")

Answer: A

NEW QUESTION # 34
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