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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

The following code has been migrated to a Databricks notebook from a legacy workload:

The code executes successfully and provides the logically correct results, however, it takes over 20 minutes to extract and load around 1 GB of data.

Which statement is a possible explanation for this behavior?

Options:

A.

%sh triggers a cluster restart to collect and install Git. Most of the latency is related to cluster startup time.

B.

Instead of cloning, the code should use %sh pip install so that the Python code can get executed in parallel across all nodes in a cluster.

C.

%sh does not distribute file moving operations; the final line of code should be updated to use %fs instead.

D.

Python will always execute slower than Scala on Databricks. The run.py script should be refactored to Scala.

E.

%sh executes shell code on the driver node. The code does not take advantage of the worker nodes or Databricks optimized Spark.

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Question 2

The data science team has requested assistance in accelerating queries on free form text from user reviews. The data is currently stored in Parquet with the below schema:

item_id INT, user_id INT, review_id INT, rating FLOAT, review STRING

The review column contains the full text of the review left by the user. Specifically, the data science team is looking to identify if any of 30 key words exist in this field.

A junior data engineer suggests converting this data to Delta Lake will improve query performance.

Which response to the junior data engineer s suggestion is correct?

Options:

A.

Delta Lake statistics are not optimized for free text fields with high cardinality.

B.

Text data cannot be stored with Delta Lake.

C.

ZORDER ON review will need to be run to see performance gains.

D.

The Delta log creates a term matrix for free text fields to support selective filtering.

E.

Delta Lake statistics are only collected on the first 4 columns in a table.

Question 3

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?

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

Options:

A.

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

B.

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.

C.

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