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Cloudera CDP Data Engineer - Certification Sample Questions:

1. In the context of Spark, what is a potential downside of indiscriminate use of data caching, especially with the MEMORY_AND DISK storage level?

A) It can decrease network traffic by reducing the need for data shuffling.
B) It enhances data security by storing intermediate results in encrypted form.
C) It may increase execution time due to overheads from frequent disk 1/0 operations.
D) It can lead to reduced fault tolerance due to reliance on in-memory storage.

2. Consider the following code snippet:# Sample DataFrame (assuming it exists) df = spark.createDataFrame(...)
# Attempt to add a new column with a case-when expression (fix the error) df = df.withColumn("category", F.when(df["price"] ] 100, "Expensive").otherwise("Cheap")) df.show() What is the error in this code, and how can it be fixed?

A) The error is using the wrong syntax for case-when expressions. Fix: Use SQL-like syntax with CASE WHEN and END.
B) There is no error in the code snippet.
C) The error is attempting to modify the original DataFrame in-place. Fix: Use df.withColumn to create a new DataFrame with the added column.
D) The error is missing parentheses around the conditions in the when function. Fix: F.when((df["price"] ] 100), "Expensive").otherwise("Cheap")

3. Your team is using Spark on Kubernetes, and you've been tasked with improving the efficiency of resource utilization. You decide to enable dynamic allocation of executors based on workload. Which of the following PySpark session configurations correctly enables dynamic allocation?

A)

B)

C)

D)

4. You're designing a scalable and fault-tolerant Spark application for processing large-scale geospatial dat a. What additional considerations should you take into account beyond the general distributed processing principles?

A) Use a dedicated cluster specifically for geospatial processing tasks
B) Choose a larger virtual machine size for Spark executors
C) Implement custom partitioning strategies based on geospatial coordinates
D) Leverage geospatial libraries like GeoSpark for efficient spatial operations

5. How can you monitor the storage level and usage of persisted RDDs in your Spark application?

A) Manually analyze the Spark application code
B) All of the above
C) Leverage Spark metrics like rdd.getStorageLevel() and rdd.getPersistedSize()
D) Use Spark's web UI and look for information under the "Storage" tab

Solutions: