Question: How can redundancy be reduced in a data store to optimize storage efficiency?
Answer:
Redundancy can be reduced in a data store to optimize storage efficiency by organizing data in a way that minimizes duplication.
MCQ: How can redundancy be reduced in a data store to optimize storage efficiency?
Explanation:
Redundancy can be reduced in a data store to optimize storage efficiency by organizing data in a way that minimizes duplication.
Discuss a Question
Related Questions
- 1. What is the role of a data store in ensuring data persistence in web applications?
- 2. How does caching contribute to improving the performance of web applications with data stores?
- 3. What is the impact of a well-designed data store on the overall performance of a web application?
- 4. In the context of data stores, what does scalability refer to?
- 5. How does data normalization contribute to improving the efficiency of data storage in a data store?
- 6. What is a relational database?
- 7. What type of data is typically stored in a document-oriented database?
- 8. What is the purpose of a key-value store database?
- 9. What type of database is suitable for handling large-scale, distributed data sets?
- 10. What is the primary characteristic of an in-memory database?
You may be interested in:
Web Security MCQsRecently Added Articles
The Importance of Ensuring a Seamless Global Experience for Your Software Applications
Last updated on: June 17, 2025Posted by: ExamRadar
Top 5 Kahoot Winner Strategies Students Are Using Right Now
Last updated on: May 14, 2025Posted by: ExamRadar
Daily Routine to Cover the RBI Grade B Syllabus Fast
Last updated on: May 14, 2025Posted by: ExamRadar
How Can AI Simplify the Academic Life of Students?
Last updated on: April 16, 2025Posted by: ExamRadar
Want to Clear IBPS RRB PO? Master These Mock Test Hacks!
Last updated on: March 10, 2025Posted by: ExamRadar
Top AI Tools for Instantly Detecting Plagiarized Writing
Last updated on: December 5, 2024Posted by: ExamRadar
Applying Algorithmic Trading Techniques to Forex: Insights for Programmers and Data Scientists
Last updated on: November 22, 2024Posted by: ExamRadar