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Databricks Certified Data Engineer Professional Sample Questions:

1. A junior data engineer has configured a workload that posts the following JSON to the Databricks REST API endpoint 2.0/jobs/create.

Assuming that all configurations and referenced resources are available, which statement describes the result of executing this workload three times?

A) The logic defined in the referenced notebook will be executed three times on the referenced existing all purpose cluster.
B) One new job named "Ingest new data" will be defined in the workspace, but it will not be executed.
C) The logic defined in the referenced notebook will be executed three times on new clusters with the configurations of the provided cluster ID.
D) Three new jobs named "Ingest new data" will be defined in the workspace, and they will each run once daily.
E) Three new jobs named "Ingest new data" will be defined in the workspace, but no jobs will be executed.

2. Which of the following is true of Delta Lake and the Lakehouse?

A) Views in the Lakehouse maintain a valid cache of the most recent versions of source tables at all times.
B) Because Parquet compresses data row by row. strings will only be compressed when a character is repeated multiple times.
C) Delta Lake automatically collects statistics on the first 32 columns of each table which are leveraged in data skipping based on query filters.
D) Z-order can only be applied to numeric values stored in Delta Lake tables
E) Primary and foreign key constraints can be leveraged to ensure duplicate values are never entered into a dimension table.

3. An hourly batch job is configured to ingest data files from a cloud object storage container where each batch represent all records produced by the source system in a given hour. The batch job to process these records into the Lakehouse is sufficiently delayed to ensure no late-arriving data is missed. The user_id field represents a unique key for the data, which has the following schema:
user_id BIGINT, username STRING, user_utc STRING, user_region STRING, last_login BIGINT, auto_pay BOOLEAN, last_updated BIGINT New records are all ingested into a table named account_history which maintains a full record of all data in the same schema as the source. The next table in the system is named account_current and is implemented as a Type 1 table representing the most recent value for each unique user_id.
Assuming there are millions of user accounts and tens of thousands of records processed hourly, which implementation can be used to efficiently update the described account_current table as part of each hourly batch job?

A) Use Auto Loader to subscribe to new files in the account history directory; configure a Structured Streaminq trigger once job to batch update newly detected files into the account current table.
B) Filter records in account history using the last updated field and the most recent hour processed, as well as the max last iogin by user id write a merge statement to update or insert the most recent value for each user id.
C) Overwrite the account current table with each batch using the results of a query against the account history table grouping by user id and filtering for the max value of last updated.
D) Use Delta Lake version history to get the difference between the latest version of account history and one version prior, then write these records to account current.
E) Filter records in account history using the last updated field and the most recent hour processed, making sure to deduplicate on username; write a merge statement to update or insert the most recent value for each username.

4. 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) Neither the DBFS root nor mounted storage can be accessed when using %sh in a Databricks notebook.
B) 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.
C) The DBFS root is the most secure location to store data, because mounted storage volumes must have full public read and write permissions.
D) By default, both the DBFS root and mounted data sources are only accessible to workspace administrators.
E) 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.

5. The data governance team has instituted a requirement that all tables containing Personal Identifiable Information (PH) must be clearly annotated. This includes adding column comments, table comments, and setting the custom table property "contains_pii" = true.
The following SQL DDL statement is executed to create a new table:
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Which command allows manual confirmation that these three requirements have been met?

A) DESCRIBE HISTORY dev.pii test
B) DESCRIBE EXTENDED dev.pii test
C) SHOW TBLPROPERTIES dev.pii test
D) DESCRIBE DETAIL dev.pii test
E) SHOW TABLES dev

Solutions: