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Databricks Certified Data Engineer Professional Sample Questions:

1. In order to prevent accidental commits to production data, a senior data engineer has instituted a policy that all development work will reference clones of Delta Lake tables. After testing both deep and shallow clone, development tables are created using shallow clone. A few weeks after initial table creation, the cloned versions of several tables implemented as Type 1 Slowly Changing Dimension (SCD) stop working. The transaction logs for the source tables show that vacuum was run the day before.
Why are the cloned tables no longer working?

A) Because Type 1 changes overwrite existing records, Delta Lake cannot guarantee data consistency for cloned tables.
B) Tables created with SHALLOW CLONE are automatically deleted after their default retention threshold of 7 days.
C) The metadata created by the clone operation is referencing data files that were purged as invalid by the vacuum command
D) The data files compacted by vacuum are not tracked by the cloned metadata; running refresh on the cloned table will pull in recent changes.
E) Running vacuum automatically invalidates any shallow clones of a table; deep clone should always be used when a cloned table will be repeatedly queried.

2. The data architect has mandated that all tables in the Lakehouse should be configured as external (also known as "unmanaged") 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 a database is being created, make sure that the LOCATION keyword is used.
C) When tables are created, make sure that the EXTERNAL keyword is used in the CREATE TABLE statement.
D) When configuring an external data warehouse for all table storage, leverage Databricks for all ELT.
E) When data is saved to a table, make sure that a full file path is specified alongside the Delta format.

3. The business reporting tem requires that data for their dashboards be updated every hour. The total processing time for the pipeline that extracts transforms and load the data for their pipeline runs in 10 minutes.
Assuming normal operating conditions, which configuration will meet their service-level agreement requirements with the lowest cost?

A) Schedule a Structured Streaming job with a trigger interval of 60 minutes.
B) Schedule a jo to execute the pipeline once and hour on a dedicated interactive cluster.
C) Configure a job that executes every time new data lands in a given directory.
D) Schedule a job to execute the pipeline once hour on a new job cluster.

4. A junior data engineer has manually configured a series of jobs using the Databricks Jobs UI.
Upon reviewing their work, the engineer realizes that they are listed as the "Owner" for each job.
They attempt to transfer "Owner" privileges to the "DevOps" group, but cannot successfully accomplish this task.
Which statement explains what is preventing this privilege transfer?
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A) A user can only transfer job ownership to a group if they are also a member of that group.
B) The creator of a Databricks job will always have "Owner" privileges; this configuration cannot be changed.
C) Other than the default "admins" group, only individual users can be granted privileges on jobs.
D) Only workspace administrators can grant "Owner" privileges to a group.
E) Databricks jobs must have exactly one owner; "Owner" privileges cannot be assigned to a group.

5. Which statement describes Delta Lake Auto Compaction?

A) Data is queued in a messaging bus instead of committing data directly to memory; all data is committed from the messaging bus in one batch once the job is complete.
B) Optimized writes use logical partitions instead of directory partitions; because partition boundaries are only represented in metadata, fewer small files are written.
C) Before a Jobs cluster terminates, optimize is executed on all tables modified during the most recent job.
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D) An asynchronous job runs after the write completes to detect if files could be further compacted; if yes, an optimize job is executed toward a default of 128 MB.
E) An asynchronous job runs after the write completes to detect if files could be further compacted; if yes, an optimize job is executed toward a default of 1 GB.

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