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Databricks-Certified-Professional-Data-Engineer Exam Dumps : Databricks Certified Data Engineer Professional Exam

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Databricks Certified Data Engineer Professional Exam Questions and Answers

Question 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?

Options:

A.

The data files compacted by vacuum are not tracked by the cloned metadata; running refresh on the cloned table will pull in recent changes.

B.

Because Type 1 changes overwrite existing records, Delta Lake cannot guarantee data consistency for cloned tables.

C.

The metadata created by the clone operation is referencing data files that were purged as invalid by the vacuum command

D.

Running vacuum automatically invalidates any shallow clones of a table; deep clone should always be used when a cloned table will be repeatedly queried.

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Question 2

The data governance team is reviewing user for deleting records for compliance with GDPR. The following logic has been implemented to propagate deleted requests from the user_lookup table to the user aggregate table.

Assuming that user_id is a unique identifying key and that all users have requested deletion have been removed from the user_lookup table, which statement describes whether successfully executing the above logic guarantees that the records to be deleted from the user_aggregates table are no longer accessible and why?

Options:

A.

No: files containing deleted records may still be accessible with time travel until a BACUM command is used to remove invalidated data files.

B.

Yes: Delta Lake ACID guarantees provide assurance that the DELETE command successed fully and permanently purged these records.

C.

No: the change data feed only tracks inserts and updates not deleted records.

D.

No: the Delta Lake DELETE command only provides ACID guarantees when combined with the MERGE INTO command

Question 3

A data architect has designed a system in which two Structured Streaming jobs will concurrently write to a single bronze Delta table. Each job is subscribing to a different topic from an Apache Kafka source, but they will write data with the same schema. To keep the directory structure simple, a data engineer has decided to nest a checkpoint directory to be shared by both streams.

The proposed directory structure is displayed below:

Which statement describes whether this checkpoint directory structure is valid for the given scenario and why?

Options:

A.

No; Delta Lake manages streaming checkpoints in the transaction log.

B.

Yes; both of the streams can share a single checkpoint directory.

C.

No; only one stream can write to a Delta Lake table.

D.

Yes; Delta Lake supports infinite concurrent writers.

E.

No; each of the streams needs to have its own checkpoint directory.