What is one of the main advantages of Spark's distributed behavior?
PySpark and AWS: Master Big Data with PySpark and AWS - Why Spark

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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
It requires all data to be on a single machine.
It allows processing across multiple machines.
It only works with small datasets.
It is slower than its competitors.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a library provided by Spark for advanced analytics?
Spark SQL
Spark HTML
Spark XML
Spark CSS
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does Spark handle real-time data processing?
By processing data once a day.
By configuring input streams for real-time data.
By requiring all data upfront.
By using batch processing only.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What feature of Spark helps in reducing computational overhead?
Its caching mechanism.
Its lack of fault tolerance.
Its slow processing speed.
Its requirement for single machine processing.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which programming languages does Spark support for ease of deployment?
C++, Ruby, Perl, and PHP
Python, Scala, Java, and R
Swift, Kotlin, Go, and Rust
HTML, CSS, JavaScript, and SQL
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