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Databricks Updated Databricks-Certified-Professional-Data-Engineer Exam Questions and Answers by coby

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

Exam Name: Databricks Certified Data Engineer Professional Exam
Exam Code: Databricks-Certified-Professional-Data-Engineer Dumps
Vendor: Databricks Certification: Databricks Certification
Questions: 120 Q&A's Shared By: coby
Question 24

The view updates represents an incremental batch of all newly ingested data to be inserted or updated in the customers table.

The following logic is used to process these records.

MERGE INTO customers

USING (

SELECT updates.customer_id as merge_ey, updates .*

FROM updates

UNION ALL

SELECT NULL as merge_key, updates .*

FROM updates JOIN customers

ON updates.customer_id = customers.customer_id

WHERE customers.current = true AND updates.address <> customers.address

) staged_updates

ON customers.customer_id = mergekey

WHEN MATCHED AND customers. current = true AND customers.address <> staged_updates.address THEN

UPDATE SET current = false, end_date = staged_updates.effective_date

WHEN NOT MATCHED THEN

INSERT (customer_id, address, current, effective_date, end_date)

VALUES (staged_updates.customer_id, staged_updates.address, true, staged_updates.effective_date, null)

Which statement describes this implementation?

Options:

A.

The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.

B.

The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.

C.

The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.

D.

The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.

Discussion
Question 25

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?

Options:

A.

Databricks jobs must have exactly one owner; "Owner" privileges cannot be assigned to a 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.

A user can only transfer job ownership to a group if they are also a member of that group.

E.

Only workspace administrators can grant "Owner" privileges to a group.

Discussion
Question 26

A junior data engineer on your team has implemented the following code block.

Questions 26

The view new_events contains a batch of records with the same schema as the events Delta table. The event_id field serves as a unique key for this table.

When this query is executed, what will happen with new records that have the same event_id as an existing record?

Options:

A.

They are merged.

B.

They are ignored.

C.

They are updated.

D.

They are inserted.

E.

They are deleted.

Discussion
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Question 27

Which statement characterizes the general programming model used by Spark Structured Streaming?

Options:

A.

Structured Streaming leverages the parallel processing of GPUs to achieve highly parallel data throughput.

B.

Structured Streaming is implemented as a messaging bus and is derived from Apache Kafka.

C.

Structured Streaming uses specialized hardware and I/O streams to achieve sub-second latency for data transfer.

D.

Structured Streaming models new data arriving in a data stream as new rows appended to an unbounded table.

E.

Structured Streaming relies on a distributed network of nodes that hold incremental state values for cached stages.

Discussion
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