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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

A nightly job ingests data into a Delta Lake table using the following code:

The next step in the pipeline requires a function that returns an object that can be used to manipulate new records that have not yet been processed to the next table in the pipeline.

Which code snippet completes this function definition?

def new_records():

Options:

A.

return spark.readStream.table("bronze")

B.

return spark.readStream.load("bronze")

C.

D.

return spark.read.option("readChangeFeed", "true").table ("bronze")

E.

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Question 2

A Delta Lake table representing metadata about content posts from users has the following schema:

    user_id LONG

    post_text STRING

    post_id STRING

    longitude FLOAT

    latitude FLOAT

    post_time TIMESTAMP

    date DATE

Based on the above schema, which column is a good candidate for partitioning the Delta Table?

Options:

A.

date

B.

user_id

C.

post_id

D.

post_time

Question 3

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.