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Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:
1. 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_spark()
C) psdf.to_dataframe()
D) psdf.to_pyspark()
2. Given the code:
df = spark.read.csv("large_dataset.csv")
filtered_df = df.filter(col("error_column").contains("error"))
mapped_df = filtered_df.select(split(col("timestamp"), " ").getItem(0).alias("date"), lit(1).alias("count")) reduced_df = mapped_df.groupBy("date").sum("count") reduced_df.count() reduced_df.show() At which point will Spark actually begin processing the data?
A) When the groupBy transformation is applied
B) When the count action is applied
C) When the filter transformation is applied
D) When the show action is applied
3. A data engineer wants to write a Spark job that creates a new managed table. If the table already exists, the job should fail and not modify anything.
Which save mode and method should be used?
A) saveAsTable with mode ErrorIfExists
B) saveAsTable with mode Overwrite
C) save with mode Ignore
D) save with mode ErrorIfExists
4. A Data Analyst needs to retrieve employees with 5 or more years of tenure.
Which code snippet filters and shows the list?
A) employees_df.filter(employees_df.tenure >= 5).collect()
B) employees_df.filter(employees_df.tenure >= 5).show()
C) filter(employees_df.tenure >= 5)
D) employees_df.where(employees_df.tenure >= 5)
5. Which feature of Spark Connect is considered when designing an application to enable remote interaction with the Spark cluster?
A) It is primarily used for data ingestion into Spark from external sources
B) It provides a way to run Spark applications remotely in any programming language
C) It can be used to interact with any remote cluster using the REST API
D) It allows for remote execution of Spark jobs
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: D |
