Apache Spark

Apache Spark

Apache Spark

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Question 1 of 10

1. Question
What is Apache Spark primarily used for?
- Web development
- Data analytics
- Mobile applications
- Network security
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Question 2 of 10

2. Question
Which language is NOT natively supported by Apache Spark?
- Python
- Java
- R
- C++
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Question 3 of 10

3. Question
What does RDD stand for in Apache Spark?
- Real Distributed Data
- Resilient Distributed Dataset
- Rapid Data Deployment
- Reliable Data Delivery
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Question 4 of 10

4. Question
What is the role of the Spark Driver?
- It manages the cluster resources only.
- It runs the main() function of an application and is the point of entry of a Spark job.
- It handles storage of all data in the cluster.
- It communicates directly with the storage system.
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Question 5 of 10

5. Question
Which Apache Spark component is responsible for scheduling and distributing jobs?
- Spark Executor
- Spark Core
- Spark Cluster Manager
- Spark SQL
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Question 6 of 10

6. Question
What does the action “collect” do in Apache Spark?
- It sends all data from the workers to the driver as a single list.
- It distributes data across the cluster.
- It configures a new RDD.
- It saves the output to an external storage system.
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Question 7 of 10

7. Question
In Apache Spark, what is a DataFrame?
- A type of RDD optimized for tabular data operations.
- A machine learning model.
- A non-relational database system.
- A network communication protocol.
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Question 8 of 10

8. Question
How does Spark achieve data processing speed?
- By using disk storage for all operations.
- By using in-memory processing.
- By sending data to external processors.
- By reducing network usage.
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Question 9 of 10

9. Question
Which module of Apache Spark is used for structured data processing?
- Spark Streaming
- Spark MLlib
- Spark SQL
- Spark Graphics
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Question 10 of 10

10. Question
What is Spark Streaming?
- A tool for real-time data processing.
- A tool for static data processing.
- A storage system for large data sets.
- A security system for data encryption.
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