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Quiz RDD in Spark

Quiz RDD in Spark

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Question 1 of 10

1. Question

What does RDD stand for in Apache Spark?

Remote Data Document
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Random Distributed Dataset
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Resilient Distributed Dataset
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Relational Data Directory
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Question 2 of 10

2. Question

What is the primary feature of RDDs in Spark?

They are stored in relational databases
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They can only be used with SQL queries
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They are fault-tolerant and can be distributed across multiple nodes
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They work only on static files
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Question 3 of 10

3. Question

Which of the following is a correct way to create an RDD in PySpark?

sc.buildRDD()
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spark.newRDD()
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sc.parallelize([1, 2, 3, 4])
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rdd.create()
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Question 4 of 10

4. Question

Which type of operation is lazy in Spark RDDs?

collect()
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map()
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count()
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take()
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Question 5 of 10

5. Question

What kind of operations can be applied on RDDs?

Transformations and Actions
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Only SQL Queries
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Only visualization operations
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Compression and Encryption
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Question 6 of 10

6. Question

Which of the following is a transformation in RDD?

count()
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collect()
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saveAsTextFile()
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filter()
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Question 7 of 10

7. Question

What happens when an RDD partition is lost due to node failure?

The entire job fails
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Spark re-executes lineage to recompute the lost partition
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Spark deletes the RDD
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Spark sends an error to the driver
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Question 8 of 10

8. Question

Which method is used to persist an RDD in memory across operations?

cache()
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reload()
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commit()
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repartition()
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Question 9 of 10

9. Question

Which of the following is an action operation in RDD?

map()
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filter()
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reduce()
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flatMap()
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Question 10 of 10

10. Question

Which of the following best describes lineage in RDD?

A method to save RDDs to disk
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A log of RDD usage
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The sequence of transformations that created an RDD
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A tool for measuring Spark memory
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