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

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

1. A developer is trying to join two tables, sales.purchases_fct and sales.customer_dim, using the following code:

fact_df = purch_df.join(cust_df, F.col('customer_id') == F.col('custid')) The developer has discovered that customers in the purchases_fct table that do not exist in the customer_dim table are being dropped from the joined table.
Which change should be made to the code to stop these customer records from being dropped?

A) fact_df = purch_df.join(cust_df, F.col('customer_id') == F.col('custid'), 'right_outer')
B) fact_df = cust_df.join(purch_df, F.col('customer_id') == F.col('custid'))
C) fact_df = purch_df.join(cust_df, F.col('customer_id') == F.col('custid'), 'left')
D) fact_df = purch_df.join(cust_df, F.col('cust_id') == F.col('customer_id'))

2. What is the behavior for function date_sub(start, days) if a negative value is passed into the days parameter?

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

3. 46 of 55.
A data engineer is implementing a streaming pipeline with watermarking to handle late-arriving records.
The engineer has written the following code:
inputStream \
.withWatermark("event_time", "10 minutes") \
.groupBy(window("event_time", "15 minutes"))
What happens to data that arrives after the watermark threshold?

A) 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.
B) 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.
C) The watermark ensures that late data arriving within 10 minutes of the latest event time will be processed and included in the windowed aggregation.
D) Any data arriving more than 10 minutes after the watermark threshold will be ignored and not included in the aggregation.

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

5. 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_spark()
B) psdf.to_pandas()
C) psdf.to_pyspark()
D) psdf.to_dataframe()

Solutions: