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Databricks Certified Data Engineer Professional Sample Questions:

1. 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:

Which command allows manual confirmation that these three requirements have been met?

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

2. A data engineer created a daily batch ingestion pipeline using a cluster with the latest DBR version to store banking transaction data, and persisted it in a MANAGED DELTA table called prod.gold.all_banking_transactions_daily. The data engineer is constantly receiving complaints from business users who query this table ad hoc through a SQL Serverless Warehouse about poor query performance. Upon analysis, the data engineer identified that these users frequently use high- cardinality columns as filters. The engineer now seeks to implement a data layout optimization technique that is incremental, easy to maintain, and can evolve over time. Which command should the data engineer implement?

A) Alter the table to use Hive-Style Partitions and implement a periodic OPTIMIZE command.
B) Alter the table to use Z-ORDER and implement a periodic OPTIMIZE command.
C) Alter the table to use Liquid Clustering and implement a periodic OPTIMIZE command.
D) Alter the table to use Hive-Style Partitions + Z-ORDER and implement a periodic OPTIMIZE command.

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 new restored field is added to the target schema, and dynamically read as NULL for existing unmatched records.
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 update is moved to separate ''restored'' column because it is missing a column expected in the target schema.

4. To identify the top users consuming compute resources, a data engineering team needs to monitor usage within their Databricks workspace for better resource utilization and cost control.
The team decided to use Databricks system tables, available under the System catalog in Unity Catalog, to gain detailed visibility into workspace activity. Which SQL query should the team run from the System catalog to achieve this?

A) SELECT sku_name,
usage_metadata.run_name AS user_email,
SUM(usage_quantity) AS total_dbus
FROM system.billing.usage
GROUP BY user_email, sku_name
ORDER BY total_dbus DESC
LIMIT 10
B) SELECT sku_name,
identity_metadata.created_by AS user_email,
SUM(usage_quantity * usage_unit) AS total_dbus
FROM system.billing.usage
GROUP BY user_email, sku_name
ORDER BY total_dbus DESC
LIMIT 10
C) SELECT identity_metadata.run_as AS user_email,
SUM(usage_quantity) AS total_dbus
FROM system.billing.usage
GROUP BY user_email
ORDER BY total_dbus DESC
LIMIT 10
D) SELECT sku_name,
identity_metadata.created_by AS user_email,
COUNT(usage_quantity) AS total_dbus
FROM system.billing.usage
GROUP BY user_email, sku_name
ORDER BY total_dbus DESC
LIMIT 10

5. While reviewing a query's execution in the Databricks Query Profiler, a data engineer observes that the Top Operators panel shows a Sort operator with high Time Spent and Memory Peak metrics. The Spark UI also reports frequent data spilling. How should the data engineer address this issue?

A) Switch to a broadcast join to reduce memory usage.
B) Increase the number of shuffle partitions to better distribute data.
C) Convert the sort operation to a filter operation.
D) Repartition the DataFrame to a single partition before sorting.

Solutions: