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Databricks Certified Data Engineer Professional Sample Questions:

1. Two of the most common data locations on Databricks are the DBFS root storage and external object storage mounted with dbutils.fs.mount().
Which of the following statements is correct?

A) The DBFS root is the most secure location to store data, because mounted storage volumes must have full public read and write permissions.
B) DBFS is a file system protocol that allows users to interact with files stored in object storage using syntax and guarantees similar to Unix file systems.
C) By default, both the DBFS root and mounted data sources are only accessible to workspace administrators.
D) The DBFS root stores files in ephemeral block volumes attached to the driver, while mounted directories will always persist saved data to external storage between sessions.
E) Neither the DBFS root nor mounted storage can be accessed when using %sh in a Databricks notebook.

2. A data engineer wants to reflector the following DLT code, which includes multiple definition with very similar code:

In an attempt to programmatically create these tables using a parameterized table definition, the data engineer writes the following code.

The pipeline runs an update with this refactored code, but generates a different DAG showing incorrect configuration values for tables.
How can the data engineer fix this?

A) Wrap the loop inside another table definition, using generalized names and properties to replace with those from the inner table
B) Load the configuration values for these tables from a separate file, located at a path provided by a pipeline parameter.
C) Convert the list of configuration values to a dictionary of table settings, using table names as keys.
D) Convert the list of configuration values to a dictionary of table settings, using different input the for loop.
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3. The data engineering team maintains the following code:
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Assuming that this code produces logically correct results and the data in the source table has been de-duplicated and validated, which statement describes what will occur when this code is executed?

A) The silver_customer_sales table will be overwritten by aggregated values calculated from all records in the gold_customer_lifetime_sales_summary table as a batch job.
B) An incremental job will detect if new rows have been written to the silver_customer_sales table; if new rows are detected, all aggregates will be recalculated and used to overwrite the gold_customer_lifetime_sales_summary table.
C) An incremental job will leverage running information in the state store to update aggregate values in the gold_customer_lifetime_sales_summary table.
D) A batch job will update the gold_customer_lifetime_sales_summary table, replacing only those rows that have different values than the current version of the table, using customer_id as the primary key.
E) The gold_customer_lifetime_sales_summary table will be overwritten by aggregated values calculated from all records in the silver_customer_sales table as a batch job.

4. A developer has successfully configured credential for Databricks Repos and cloned a remote Git repository. Hey don not have privileges to make changes to the main branch, which is the only branch currently visible in their workspace.
Use Response to pull changes from the remote Git repository commit and push changes to a branch that appeared as a changes were pulled.

A) Use Repos to create a new branch commit all changes and push changes to the remote Git repertory.
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B) Use repos to merge all difference and make a pull request back to the remote repository.
C) Use repos to create a fork of the remote repository commit all changes and make a pull request on the source repository
D) Use Repos to pull changes from the remote Git repository; commit and push changes to a branch that appeared as changes were pulled.
E) Use Repos to merge all differences and make a pull request back to the remote repository.

5. What statement is true regarding the retention of job run history?

A) t is retained for 60 days, during which you can export notebook run results to HTML
B) It is retained for 90 days or until the run-id is re-used through custom run configuration
C) It is retained until you export or delete job run logs
D) It is retained for 60 days, after which logs are archived
E) It is retained for 30 days, during which time you can deliver job run logs to DBFS or S3

Solutions: