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

1. Given this view definition:
df.createOrReplaceTempView("users_vw")
Which approach can be used to query the users_vw view after the session is terminated?
Options:

A) Save the users_vw definition and query using Spark
B) Persist the users_vw data as a table
C) Query the users_vw using Spark
D) Recreate the users_vw and query the data using Spark

2. Given the code fragment:

import pyspark.pandas as ps
psdf = ps.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
Which method is used to convert a Pandas API on Spark DataFrame (pyspark.pandas.DataFrame) into a standard PySpark DataFrame (pyspark.sql.DataFrame)?

A) psdf.to_pandas()
B) psdf.to_pyspark()
C) psdf.to_spark()
D) psdf.to_dataframe()

3. 54 of 55.
What is the benefit of Adaptive Query Execution (AQE)?

A) It optimizes query execution by parallelizing tasks and does not adjust strategies based on runtime metrics like data skew.
B) It allows Spark to optimize the query plan before execution but does not adapt during runtime.
C) It automatically distributes tasks across nodes in the clusters and does not perform runtime adjustments to the query plan.
D) It enables the adjustment of the query plan during runtime, handling skewed data, optimizing join strategies, and improving overall query performance.

4. Given this code:

.withWatermark("event_time", "10 minutes")
.groupBy(window("event_time", "15 minutes"))
.count()
What happens to data that arrives after the watermark threshold?
Options:

A) The watermark ensures that late data arriving within 10 minutes of the latest event_time will be processed and included in the windowed aggregation.
B) Data arriving more than 10 minutes after the latest watermark will still be included in the aggregation but will be placed into the next window.
C) Records that arrive later than the watermark threshold (10 minutes) will automatically be included in the aggregation if they fall within the 15-minute window.
D) Any data arriving more than 10 minutes after the watermark threshold will be ignored and not included in the aggregation.

5. 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.dropField("age").withColumn("tax", col("salary") * 0.1)
D) employees_df = employees_df.withColumn("tax", col("salary") * 0.1).drop("age")

Solutions: