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Databricks Databricks-Certified-Professional-Data-Engineer Exam Syllabus Topics:
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Reference: https://www.databricks.com/learn/certification/data-engineer-professional
Databricks Certified Professional Data Engineer Sample Questions:
Which statement describes the default execution mode for Databricks Auto Loader?
- A. New files are identified by listing the input directory; the target table is materialized by directory querying all valid files in the source directory.
- B. Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; new files are incrementally and impotently into the target Delta Lake table.
- C. Webhook trigger Databricks job to run anytime new data arrives in a source directory; new data automatically merged into target tables using rules inferred from the data.
- D. New files are identified by listing the input directory; new files are incrementally and idempotently loaded into the target Delta Lake table.
Correct Answer: D 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
A Spark job is taking longer than expected. Using the Spark UI, a data engineer notes that the Min, Median, and Max Durations for tasks in a particular stage show the minimum and median time to complete a task as roughly the same, but the max duration for a task to be roughly 100 times as long as the minimum.
Which situation is causing increased duration of the overall job?
- A. Credential validation errors while pulling data from an external system.
- B. Task queueing resulting from improper thread pool assignment.
- C. Spill resulting from attached volume storage being too small.
- D. Network latency due to some cluster nodes being in different regions from the source data
- E. Skew caused by more data being assigned to a subset of spark-partitions.
Correct Answer: E 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
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
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 - 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
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 - 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
Correct Answer: A 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
A data engineer is configuring a pipeline that will potentially see late-arriving, duplicate records.
In addition to de-duplicating records within the batch, which of the following approaches allows the data engineer to deduplicate data against previously processed records as it is inserted into a Delta table?
- A. Rely on Delta Lake schema enforcement to prevent duplicate records.
- B. Perform a full outer join on a unique key and overwrite existing data.
- C. Set the configuration delta.deduplicate = true.
- D. VACUUM the Delta table after each batch completes.
- E. Perform an insert-only merge with a matching condition on a unique key.
Correct Answer: E 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
A table named user_ltv is being used to create a view that will be used by data analysts on various teams.
Users in the workspace are configured into groups, which are used for setting up data access using ACLs.
The user_ltv table has the following schema:
email STRING, age INT, ltv INT
The following view definition is executed:
An analyst who is not a member of the marketing group executes the following query:
SELECT * FROM email_ltv
Which statement describes the results returned by this query?
- A. The email and ltv columns will be returned with the values in user itv.
- B. Three columns will be returned, but one column will be named " redacted " and contain only null values.
- C. Only the email and ltv columns will be returned; the email column will contain the string " REDACTED " in each row.
- D. The email, age. and ltv columns will be returned with the values in user ltv.
- E. Only the email and itv columns will be returned; the email column will contain all null values.
Correct Answer: C 🗳️
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