Databricks Certified Data Engineer Professional : Databricks-Certified-Data-Engineer-Professional test torrent

Databricks-Certified-Data-Engineer-Professional Exam Simulator
  • Exam Code: Databricks-Certified-Data-Engineer-Professional
  • Exam Name: Databricks Certified Data Engineer Professional Exam
  • Updated: Jun 29, 2026
  • Q & A: 250 Questions and Answers

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Databricks Certified Data Engineer Professional Sample Questions:

1. A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true. They plan to execute the following code as a daily job:

Which statement describes the execution and results of running the above query multiple times?

A) Each time the job is executed, the target table will be overwritten using the entire history of inserted or updated records, giving the desired result.
B) Each time the job is executed, the entire available history of inserted or updated records will be appended to the target table, resulting in many duplicate entries.
C) Each time the job is executed, the differences between the original and current versions are calculated; this may result in duplicate entries for some records.
D) Each time the job is executed, only those records that have been inserted or updated since the last execution will be appended to the target table giving the desired result.
E) Each time the job is executed, newly updated records will be merged into the target table, overwriting previous values with the same primary keys.


2. The data architect has mandated that all tables in the Lakehouse should be configured as external Delta Lake tables.
Which approach will ensure that this requirement is met?

A) When the workspace is being configured, make sure that external cloud object storage has been mounted.
B) When configuring an external data warehouse for all table storage. leverage Databricks for all ELT.
C) Whenever a table is being created, make sure that the location keyword is used.
D) Whenever a database is being created, make sure that the location keyword is used
E) When tables are created, make sure that the external keyword is used in the create table statement.


3. A job runs four independent tasks (X, Y, Z, W) in parallel to process regional sales data. The Data Engineering team recently updated its cluster policy to ban cost-prohibitive instance types. Task Y now fails due to the newly enforced cluster policy restricting the use of a specific instance type.
A data engineer needs to resolve the failure quickly without disrupting the other tasks. How should the data engineer resolve the failure of tasks?

A) Use "Repair run", override the cluster configuration for Task Y to use a permitted instance type, and let Databricks re-run only Task Y.
B) Delete the failed run, disable the cluster policy, and re-execute all tasks.
C) Edit the global cluster policy to allow the restricted instance type, then re-run the entire job.
D) Manually create a new cluster for Task Y, update the job configuration, and trigger a full re-run.


4. A security analytics pipeline must enrich billions of raw connection logs with geolocation data.
The join hinges on finding which IPv4 range each event's address falls into.
Table 1: network_events ( 5 billion rows)
event_id ip_int
42 3232235777
Table 2: ip_ranges ( 2 million rows)
start_ip_int end_ip_int country
3232235520 3232236031 US
The query is currently very slow:
SELECT n.event_id, n.ip_int, r.country
FROM network_events n
JOIN ip_ranges r
ON n.ip_int BETWEEN r.start_ip_int AND r.end_ip_int;
Which change will most dramatically accelerate the query while preserving its logic?

A) Add a range-join hint /*+ RANGE_JOIN(r, 65536) */.
B) Force a sort-merge join with /*+ MERGE(r) */.
C) Increase spark.sql.shuffle.partitions from 200 to 10000.
D) Add a broadcast hint: /*+ BROADCAST(r) */ for ip_ranges.


5. A data architect is implementing Delta Sharing as part of their data governance strategy to enable secure data collaboration with external partners and internal business units. The architect must establish a permission framework that allows designated data stewards to create shares for their respective domains while maintaining security boundaries and audit compliance. Which specific permissions and roles must be assigned to enable users to create, configure, and manage Delta Shares while maintaining proper security governance and access controls?

A) Only workspace admins can create and manage shares
B) Users need the MANAGE SHARES permission on the workspace
C) Users need to be metastore admins or have CREATE SHARE privilege for the metastore
D) Any user with USE_CATALOG privilege can create shares


Solutions:

Question # 1
Answer: B
Question # 2
Answer: C
Question # 3
Answer: A
Question # 4
Answer: A
Question # 5
Answer: C

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