Apache Spark 3 for Data Engineering and Analytics with Python - Managing Performance Errors

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a common issue when using Spark on a single node computer?
It automatically scales to multiple nodes.
It may experience performance issues and errors.
It requires no temporary space.
It has a built-in cluster manager.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step to take when encountering a disk block manager error in Spark?
Reinstall Spark.
Increase the memory allocation.
Restart the entire machine.
Stop the Spark session.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you ensure that large files do not cause errors in Spark?
Disable the Spark executor.
Use a different programming language.
Increase the number of nodes.
Convert the code cells to raw text.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What should you do if problems persist after restarting the Spark session?
Restart the entire machine.
Ignore the errors.
Contact technical support immediately.
Switch to a different software.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a recommended minimum amount of free space on your hard drive when using Spark?
2 GB
3 GB
1 GB
4 GB
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