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

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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: sam
Question 12

An upstream system has been configured to pass the date for a given batch of data to the Databricks Jobs API as a parameter. The notebook to be scheduled will use this parameter to load data with the following code:

df = spark.read.format("parquet").load(f"/mnt/source/(date)")

Which code block should be used to create the date Python variable used in the above code block?

Options:

A.

date = spark.conf.get("date")

B.

input_dict = input()

date= input_dict["date"]

C.

import sys

date = sys.argv[1]

D.

date = dbutils.notebooks.getParam("date")

E.

dbutils.widgets.text("date", "null")

date = dbutils.widgets.get("date")

Discussion
Question 13

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.

Discussion
Question 14

A data engineer wants to join a stream of advertisement impressions (when an ad was shown) with another stream of user clicks on advertisements to correlate when impression led to monitizable clicks.

Questions 14

Which solution would improve the performance?

A)

Questions 14

B)

Questions 14

C)

Questions 14

D)

Questions 14

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Discussion
Question 15

A Spark job is taking longer than expected. Using the Spark UI, a data engineer notes that the Min, Median, and Max Durations for tasks in a particular stage show the minimum and median time to complete a task as roughly the same, but the max duration for a task to be roughly 100 times as long as the minimum.

Which situation is causing increased duration of the overall job?

Options:

A.

Task queueing resulting from improper thread pool assignment.

B.

Spill resulting from attached volume storage being too small.

C.

Network latency due to some cluster nodes being in different regions from the source data

D.

Skew caused by more data being assigned to a subset of spark-partitions.

E.

Credential validation errors while pulling data from an external system.

Discussion
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