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Databricks Certified Associate Developer for Apache Spark 3.5 – Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 18 Topic 2 Discussion

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Databricks Certified Associate Developer for Apache Spark 3.5 – Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 18 Topic 2 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 2 Question 18 Discussion:
Question #: 18
Topic #: 2

Given the schema:

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 18

event_ts TIMESTAMP,

sensor_id STRING,

metric_value LONG,

ingest_ts TIMESTAMP,

source_file_path STRING

The goal is to deduplicate based on: event_ts, sensor_id, and metric_value.

Options:
A.

dropDuplicates on all columns (wrong criteria)

B.

dropDuplicates with no arguments (removes based on all columns)

C.

groupBy without aggregation (invalid use)

D.

dropDuplicates on the exact matching fields

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Actual exam question for Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 exam by Echo84128 at Oct 19, 2025, 3:12:43 PM

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