adplus-dvertising
frame-decoration

Question

What is the role of memory caching or memory-based storage in high-performance databases?

a.

To slow down data access times

b.

To reduce the need for CPU processing

c.

To optimize memory performance

d.

To improve disk performance

Posted under Big Data Computing

Answer: (c).To optimize memory performance Explanation:Memory caching or memory-based storage is used in high-performance databases to optimize memory performance.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What is the role of memory caching or memory-based storage in high-performance databases?

Similar Questions

Discover Related MCQs

Q. How does network capability impact the performance of Big Data management?

Q. What is the CAP theorem and how does it relate to Big Data solutions?

Q. How do NoSQL databases differ from traditional relational databases?

Q. What is the BASE property in NoSQL databases?

Q. What is the role of graph databases in Big Data solutions?

Q. What is the purpose of faceted results in data access?

Q. Why is data security particularly important in Big Data solutions?

Q. What is DRM (Digital Rights Management) in the context of data security?

Q. How does DRM contribute to data privacy in Big Data solutions?

Q. What is the purpose of Conditional Access Systems (CAS) in data security?

Q. In the context of data security, what is meant by "conditional access"?

Q. How does data security relate to data privacy in Big Data solutions?

Q. What is the role of encryption in data security?

Q. What are some of the tasks that data analytic algorithms perform in Big Data processing?

Q. What is one of the major challenges in working with Big Data in terms of data analysis?

Q. How do data analytic algorithms help in uncovering insights from Big Data?

Q. Which areas do data analytic algorithms often take into account when processing Big Data?

Q. What types of algorithms are commonly used in Big Data analytics?

Q. How do data analytic algorithms help in optimizing Big Data solutions?

Q. What is the trade-off that often exists between data ingestion speed, query response time, and data quality in Big Data solutions?