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Quiz on Action on RDD in Spark

Quiz on Action on RDD in Spark

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Question 1 of 10

1. Question

What is an action in Spark RDD?

An operation that changes the schema of a DataFrame
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A command that creates a new RDD
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An operation that triggers the execution of transformations
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A step to define SparkSession
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Question 2 of 10

2. Question

Which of the following is an action operation in Spark?

map()
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filter()
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collect()
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flatMap()
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Question 3 of 10

3. Question

What does the count() action do?

Counts the number of partitions in RDD
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Returns the total number of records in the RDD
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Counts the number of keys in a DataFrame
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Deletes duplicates in RDD
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Question 4 of 10

4. Question

What is the risk of using collect() on a very large RDD?

It removes all data from HDFS
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It converts the RDD to a DataFrame
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It can cause memory issues by bringing too much data to the driver
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It deletes the RDD from Spark context
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Question 5 of 10

5. Question

What does the take(n) action do?

Deletes n elements from RDD
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Returns first n elements from the RDD
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Transfers n records to HDFS
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Repartitions the RDD
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Question 6 of 10

6. Question

Which of the following actions is used to store RDD output in a file?

saveAsTextFile()
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toFileSystem()
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dumpToCSV()
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output()
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Question 7 of 10

7. Question

What does reduce(func) do on an RDD?

Applies a function to each row
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Combines all elements using a function and returns a single result
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Splits RDD into smaller RDDs
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Removes null values
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Question 8 of 10

8. Question

Which action is commonly used to apply side-effects (like writing to an external database) in Spark?

map()
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foreach()
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collectAsMap()
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repartition()
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Question 9 of 10

9. Question

What is the result of the first() action in RDD?

The first 10 elements of the RDD
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The element with the highest key
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The first element of the RDD
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A sorted list of elements
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Question 10 of 10

10. Question

What is the difference between takeOrdered(n) and top(n)?

They both return data in the same order
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takeOrdered(n) returns smallest n elements; top(n) returns largest n elements
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top(n) works only with strings
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takeOrdered(n) only works on DataFrames
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