Practice Challenges In Big Data Processing (13.1.2) - Big Data Technologies (Hadoop, Spark)

Practice: Challenges in Big Data Processing

Lesson 13.1.2Big Data Technologies (Hadoop, Spark)

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10 questions

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5 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
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is scalability in big data systems?
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Think about what happens when data increases.
Question 2.
Define fault tolerance.
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Consider reliability during failures.
3Question 3.
What does scalability refer to in big data?
- The ability to retrieve data quickly
- The ability to handle increasing amounts of data
- The ability to analyze data instantly
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Think about how a growing business needs a bigger system.
4Question 4.
True or False: Fault tolerance allows a system to fail completely without any loss of data.
- True
- False
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Consider if a system can recover during failures.
Question 5.
What strategies would you recommend to achieve fault tolerance in a large-scale data processing environment?
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Consider solutions that ensure the system keeps running even when parts fail.
Question 6.
Explain the trade-offs between having very fast retrieval systems versus the cost of maintaining large storage solutions.
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Think about businesses needing quick data access and how they manage their budgets.

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