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Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam With Confidence Using Practice Dumps

Exam Code:
Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5
Exam Name:
Databricks Certified Associate Developer for Apache Spark 3.5 – Python
Certification:
Databricks Certification
Vendor:
Databricks
Questions:
136
Last Updated:
Oct 21, 2025
Exam Status:
Stable
Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5: Databricks Certification Exam 2025 Study Guide Pdf and Test Engine

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Databricks Certified Associate Developer for Apache Spark 3.5 – Python Questions and Answers

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Question 1

49 of 55.

In the code block below, aggDF contains aggregations on a streaming DataFrame:

aggDF.writeStream \

.format("console") \

.outputMode("???") \

.start()

Which output mode at line 3 ensures that the entire result table is written to the console during each trigger execution?

Options:

A.

AGGREGATE

B.

COMPLETE

C.

REPLACE

D.

APPEND

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Question 2

Which command overwrites an existing JSON file when writing a DataFrame?

Options:

A.

df.write.mode("overwrite").json("path/to/file")

B.

df.write.overwrite.json("path/to/file")

C.

df.write.json("path/to/file", overwrite=True)

D.

df.write.format("json").save("path/to/file", mode="overwrite")

Question 3

A DataFrame df has columns name, age, and salary. The developer needs to sort the DataFrame by age in ascending order and salary in descending order.

Which code snippet meets the requirement of the developer?

Options:

A.

df.orderBy(col("age").asc(), col("salary").asc()).show()

B.

df.sort("age", "salary", ascending=[True, True]).show()

C.

df.sort("age", "salary", ascending=[False, True]).show()

D.

df.orderBy("age", "salary", ascending=[True, False]).show()

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