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Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Dumps : Databricks Certified Associate Developer for Apache Spark 3.5 – Python

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

Question 1

Given the schema:

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:

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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Question 2

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()

Question 3

48 of 55.

A data engineer needs to join multiple DataFrames and has written the following code:

from pyspark.sql.functions import broadcast

data1 = [(1, "A"), (2, "B")]

data2 = [(1, "X"), (2, "Y")]

data3 = [(1, "M"), (2, "N")]

df1 = spark.createDataFrame(data1, ["id", "val1"])

df2 = spark.createDataFrame(data2, ["id", "val2"])

df3 = spark.createDataFrame(data3, ["id", "val3"])

df_joined = df1.join(broadcast(df2), "id", "inner") \

.join(broadcast(df3), "id", "inner")

What will be the output of this code?

Options:

A.

The code will work correctly and perform two broadcast joins simultaneously to join df1 with df2, and then the result with df3.

B.

The code will fail because only one broadcast join can be performed at a time.

C.

The code will fail because the second join condition (df2.id == df3.id) is incorrect.

D.

The code will result in an error because broadcast() must be called before the joins, not inline.