Database Design & Patterns

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Database Design & Patterns

Up to 20 questions, shuffled on every run

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Welcome to the Database Design & Patterns Quiz! Test your knowledge on database normalization, indexing, query optimization, ACID properties, sharding, replication, and more. Each question has a hint and detailed explanations for all options. Good luck!

Answer key and explanations20 questions

The quiz above draws 20 questions at random from these 30, so a second attempt will not be the same run. Everything in the pool is listed here.

  1. What is database normalization?

    AnswerThe process of organizing data to reduce redundancy and improve data integrity

  2. What is denormalization?

    AnswerStrategically duplicating data to improve read performance at the cost of write complexity

  3. What is database indexing?

    AnswerCreating auxiliary structures to speed up data retrieval while increasing write overhead

  4. What is a compound index?

    AnswerA single index entry created on multiple columns to optimize specific multi-column queries

  5. What is query optimization?

    AnswerImproving execution efficiency via index selection, plan analysis, and query rewriting

  6. What is ACID?

    AnswerA set of properties ensuring that database transactions are processed reliably and safely

  7. What is BASE (Eventual Consistency)?

    AnswerA design philosophy prioritizing availability and scale by relaxing strict consistency rules

  8. What is sharding?

    AnswerDistributing a large dataset across multiple independent database instances or servers

  9. What is replication?

    AnswerMaintaining synchronized copies of the database across multiple servers to ensure availability

  10. What is CAP theorem?

    AnswerThe principle that a distributed system can only provide two of three specific guarantees

  11. What is materialized view?

    AnswerA database object that contains the results of a query and is stored on disk for speed

  12. What is transaction isolation level?

    AnswerA setting that defines the degree to which transactions are visible to other concurrent operations

  13. What is n+1 query problem?

    AnswerA performance antipattern where an application makes separate queries for each related item

  14. What is EXPLAIN in databases?

    AnswerA diagnostic statement that returns the execution plan chosen by the query optimizer

  15. What is referential integrity?

    AnswerA state where all foreign key values correctly correspond to existing primary keys

  16. What is a deadlock in databases?

    AnswerA situation where two or more transactions are permanently blocked by each other’s locks

  17. What is connection pooling?

    AnswerMaintaining a cache of open database connections to be reused by multiple requests

  18. What is optimistic vs pessimistic locking?

    AnswerTwo concurrency models that differ in whether they lock data before or after a transaction

  19. What is OLTP vs OLAP?

    AnswerTwo workload categories: one for real-time transactions and one for complex data analysis

  20. What is database partitioning?

    AnswerThe process of dividing a large table into smaller, more manageable pieces on a single server

  21. What is a window function?

    AnswerA function that performs calculations across a set of table rows related to the current row

  22. What is a CTE (Common Table Expression)?

    AnswerA temporary named result set that can be referenced within a single SQL statement

  23. What is write-ahead logging (WAL)?

    AnswerA technique where changes are recorded in a log before being applied to the main database

  24. What is schema migration?

    AnswerThe management of incremental, reversible changes to a database schema over time

  25. What is the hot table problem?

    AnswerA performance bottleneck caused by high contention for locks on a single, popular table

  26. What is read replica?

    AnswerA read-only copy of the primary database used to offload traffic from the master node

  27. What is lazy loading vs eager loading?

    AnswerTwo strategies defining whether related data is fetched on-demand or during the initial query

  28. What is database backup strategy?

    AnswerA defined plan combining full, incremental, and log backups to enable data recovery

  29. What is a primary key design consideration?

    AnswerThe decision between using inherent domain data or system-generated IDs as identifiers

  30. What is database caching strategy?

    AnswerA plan for storing frequently accessed data in high-speed memory to reduce backend load

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