Winter Sale Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: pass65

Discussions
  1. Home
  2. Discussions
  3. Databricks
  4. Databricks
  5. Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Discussions
  6. Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 1 Question 1 Discussion
 Databricks Discussions
Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 All Questions
Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 All Questions

View all questions & answers for the Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 exam

Go to Exam

Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 1 Topic 1 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 1 Question 1 Discussion:
Question #: 1
Topic #: 1

A Data Analyst is working on the DataFramesensor_df, which contains two columns:

Which code fragment returns a DataFrame that splits therecordcolumn into separate columns and has one array item per row?

A)

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 1

B)

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 1

C)

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 1

D)

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 1
A.

exploded_df = sensor_df.withColumn("record_exploded", explode("record"))

exploded_df = exploded_df.select("record_datetime", "sensor_id", "status", "health")

B.

exploded_df = exploded_df.select(

"record_datetime",

"record_exploded.sensor_id",

"record_exploded.status",

"record_exploded.health"

)

exploded_df = sensor_df.withColumn("record_exploded", explode("record"))

C.

exploded_df = exploded_df.select(

"record_datetime",

"record_exploded.sensor_id",

"record_exploded.status",

"record_exploded.health"

)

exploded_df = sensor_df.withColumn("record_exploded", explode("record"))

D.

exploded_df = exploded_df.select("record_datetime", "record_exploded")

Get Premium Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Questions
Actual exam question for Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 exam by Kai14192 at May 30, 2025, 5:44:37 AM

Contribute your Thoughts:


Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.

Submit