Practice Partitioning And Sharding (19.2.4) - Advanced SQL and NoSQL for Data Science

Practice: Partitioning and Sharding

Lesson 19.2.4Advanced SQL and NoSQL for Data Science

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10 questions

Flashcard drill
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 Partitioning?
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Think of it as breaking a big problem into smaller pieces.
Question 2.
What is one advantage of Sharding?
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Consider why a server can slow down.
3Question 3.
What is the main purpose of Partitioning in databases?
- To improve data retrieval speed
- To create backups
- To merge data
- To add more data types
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Think about how data size affects query performance.
4Question 4.
Sharding is primarily used to achieve:
- True
- False
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What does spreading data over multiple servers allow?
Question 5.
Develop a system for a social media application that requires both Partitioning and Sharding. Detail how you would utilize both strategies.
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Consider how users are distributed around the world and how long they’ve been users.
Question 6.
Analyze a scenario where data consistency could be problematic with Sharding and suggest possible solutions.
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Think about how synchronization works across different servers.

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