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Reference: https://www.databricks.com/learn/certification/data-engineer-professional
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Databricks Certified Professional Data Engineer Sample Questions:
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,
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 - B. 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 - C. 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 - D. 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
Correct Answer: B 🗳️
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A data engineer needs to install the PyYAML Python package within an air-gapped Databricks environment . The workspace has no direct internet access to PyPI. The engineer has downloaded the .whl file locally and wants it available automatically on all new clusters.
Which approach should the data engineer use?
- A. Add the .whl file to Databricks Git Repos and assume automatic installation.
- B. Upload the PyYAML .whl file to the user home directory and create a cluster-scoped init script to install it.
- C. Upload the PyYAML .whl file to a Unity Catalog Volume, ensure it's allow-listed, and create a cluster-scoped init script that installs it from that path.
- D. Set up a private PyPI repository and install via pip index URL.
Correct Answer: C 🗳️
Explanation: Only visible for DumpsQuestion members. You can sign-up / login (it's free).
Which method can be used to determine the total wall-clock time it took to execute a query?
- A. In the Spark UI, take the sum of all task durations that ran across all stages for all jobs associated with that query.
- B. Open the Query Profiler associated with that query and use the Aggregated task time metric.
- C. Open the Query Profiler associated with that query and use the Total wall-clock duration metric.
- D. In the Spark UI, take the job duration of the longest-running job associated with that query.
Correct Answer: C 🗳️
Explanation: Only visible for DumpsQuestion members. You can sign-up / login (it's free).
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. Load the configuration values for these tables from a separate file, located at a path provided by a pipeline parameter.
- B. Convert the list of configuration values to a dictionary of table settings, using table names as keys.
- C. Wrap the loop inside another table definition, using generalized names and properties to replace with those from the inner table
- D. Convert the list of configuration values to a dictionary of table settings, using different input the for loop.
Correct Answer: B 🗳️
Explanation: Only visible for DumpsQuestion members. You can sign-up / login (it's free).
The view updates represents an incremental batch of all newly ingested data to be inserted or updated in the customers table.
The following logic is used to process these records.
Which statement describes this implementation?
- A. The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.
- B. The customers table is implemented as a Type 3 table; old values are maintained as a new column alongside the current value.
- C. The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.
- D. The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.
- E. The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.
Correct Answer: C 🗳️
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