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Databricks Associate-Developer-Apache-Spark-3.5 Exam Syllabus Topics:

Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:

1. 24 of 55.
Which code should be used to display the schema of the Parquet file stored in the location events.parquet?

A) spark.sql("SELECT * FROM events.parquet").show()
B) spark.sql("SELECT schema FROM events.parquet").show()
C) spark.read.parquet("events.parquet").printSchema()
D) spark.read.format("parquet").load("events.parquet").show()

2. 31 of 55.
Given a DataFrame df that has 10 partitions, after running the code:
df.repartition(20)
How many partitions will the result DataFrame have?

A) Same number as the cluster executors
B) 10
C) 5
D) 20

3. Which UDF implementation calculates the length of strings in a Spark DataFrame?

A) df.select(length(col("stringColumn")).alias("length"))
B) df.withColumn("length", spark.udf("len", StringType()))
C) df.withColumn("length", udf(lambda s: len(s), StringType()))
D) spark.udf.register("stringLength", lambda s: len(s))

4. 25 of 55.
A Data Analyst is working on employees_df and needs to add a new column where a 10% tax is calculated on the salary.
Additionally, the DataFrame contains the column age, which is not needed.
Which code fragment adds the tax column and removes the age column?

A) employees_df = employees_df.withColumn("tax", col("salary") * 0.1).drop("age")
B) employees_df = employees_df.withColumn("tax", lit(0.1)).drop("age")
C) employees_df = employees_df.withColumn("tax", col("salary") + 0.1).drop("age")
D) employees_df = employees_df.dropField("age").withColumn("tax", col("salary") * 0.1)

5. 21 of 55.
What is the behavior of the function date_sub(start, days) if a negative value is passed into the days parameter?

A) The same start date will be returned.
B) An error message of an invalid parameter will be returned.
C) The number of days specified will be removed from the start date.
D) The number of days specified will be added to the start date.

Solutions: