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Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineer wants to join a stream of advertisement impressions (when an ad was shown) with another stream of user clicks on advertisements to correlate when impression led to monitizable clicks.

Which solution would improve the performance?

A)

B)

C)

D)

2. A production workload incrementally applies updates from an external Change Data Capture feed to a Delta Lake table as an always-on Structured Stream job. When data was initially migrated for this table, OPTIMIZE was executed and most data files were resized to 1 GB. Auto Optimize and Auto Compaction were both turned on for the streaming production job. Recent review of data files shows that most data files are under 64 MB, although each partition in the table contains at least 1 GB of data and the total table size is over 10 TB.
Which of the following likely explains these smaller file sizes?

A) Z-order indices calculated on the table are preventing file compaction C Bloom filler indices calculated on the table are preventing file compaction
B) Databricks has autotuned to a smaller target file size based on the amount of data in each partition
C) Databricks has autotuned to a smaller target file size based on the overall size of data in the table
D) Databricks has autotuned to a smaller target file size to reduce duration of MERGE operations

3. The following table consists of items found in user carts within an e-commerce website.

The following MERGE statement is used to update this table using an updates view, with schema evolution enabled on this table.

How would the following update be handled?

A) The update throws an error because changes to existing columns in the target schema are not supported.
B) The update is moved to separate ''restored'' column because it is missing a column expected in the target schema.
C) The new nested field is added to the target schema, and files underlying existing records are updated to include NULL values for the new field.
D) The new restored field is added to the target schema, and dynamically read as NULL for existing unmatched records.

4. A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown.
Which approach will allow this developer to review the current logic for this notebook?

A) Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository
B) Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch
C) Merge all changes back to the main branch in the remote Git repository and clone the repo again
D) Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9
E) Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.

5. The data engineering team maintains the following code:

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 leverage running information in the state store to update aggregate values in the gold_customer_lifetime_sales_summary table.
C) 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.
D) 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.
E) 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.

Solutions: