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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:

Databricks Certified Data Engineer Professional Sample Questions:

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

2. An analytics team wants to run a short-term experiment in Databricks SQL on the customer transactions Delta table (about 20 billion records) created by the data engineering team. Which strategy should the data engineering team use to ensure minimal downtime and no impact on the ongoing ETL processes?

A) Shallow clone the table for the analytics team.
B) Give the analytics team direct access to the production table.
C) Deep clone the table for the analytics team.
D) Create a new table for the analytics team using a CTAS statement.

3. The downstream consumers of a Delta Lake table have been complaining about data quality issues impacting performance in their applications. Specifically, they have complained that invalid latitude and longitude values in the activity_details table have been breaking their ability to use other geolocation processes.
A junior engineer has written the following code to add CHECK constraints to the Delta Lake table:

A senior engineer has confirmed the above logic is correct and the valid ranges for latitude and longitude are provided, but the code fails when executed.
Which statement explains the cause of this failure?

A) The activity details table already contains records; CHECK constraints can only be added prior to inserting values into a table.
B) Because another team uses this table to support a frequently running application, two-phase locking is preventing the operation from committing.
C) The current table schema does not contain the field valid coordinates; schema evolution will need to be enabled before altering the table to add a constraint.
D) The activity details table already exists; CHECK constraints can only be added during initial table creation.
E) The activity details table already contains records that violate the constraints; all existing data must pass CHECK constraints in order to add them to an existing table.

4. Which of the following technologies can be used to identify key areas of text when parsing Spark Driver log4j output?

A) pyspsark.ml.feature
B) C++
C) Julia
D) Scala Datasets
E) Regex

5. 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 job duration of the longest-running job associated with that query.
B) Open the Query Profiler associated with that query and use the Aggregated task time metric.
C) In the Spark UI, take the sum of all task durations that ran across all stages for all jobs associated with that query.
D) Open the Query Profiler associated with that query and use the Total wall-clock duration metric.

Solutions: