Practice Core Components Of Hadoop (13.2.2) - Big Data Technologies (Hadoop, Spark)

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9 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does HDFS stand for?
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Think of the full name of the file system.
Question 2.
What is the purpose of YARN?
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Consider what an administrator does for a team.
3Question 3.
What does HDFS do?
- Store data in a single node
- Distribute data across multiple nodes
- Encrypt data
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Think about how large files might be handled across a network.
4Question 4.
True or False: MapReduce allows for real-time data processing.
- True
- False
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Consider the processing model's nature.
Question 5.
How would you implement fault tolerance in your Hadoop system using HDFS?
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Consider how many copies you might need.
Question 6.
Explain how you would optimize a MapReduce job for faster processing.
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Think about how to reduce overhead and maximize efficiency.

5 more questions in this section. Enroll free to practise them all.