UNIT 3 QUIZ NGD

Question 1

Which type of application benefits the most from in-memory databases?

Accepted Answer

High-frequency trading systems

Question 2

Why do columnar databases achieve high compression rates?

Accepted Answer

They store similar data together, enabling better compression algorithms

Question 3

What is SparkSQL used for?

Accepted Answer

Querying structured data using SQL within Apache Spark

Question 4

What type of storage does an in-memory database typically use to ensure data persistence?

Accepted Answer

RAM plus disk-based persistence mechanisms

Question 5

Which technique is commonly used in columnar databases to improve storage efficiency?

Accepted Answer

Data compression

Question 6

Which programming model does VoltDB follow?

Accepted Answer

NewSQL model

Question 7

Which of the following is NOT an advantage of columnar databases?

Accepted Answer

Faster transactional updates

Question 8

How does SparkSQL handle data storage?

Accepted Answer

It can integrate with Hive, Parquet, ORC, and JDBC sources

Question 9

What happens when an in-memory database runs out of RAM?

Accepted Answer

It automatically offloads data to disk

Question 10

What type of database is Oracle TimesTen?

Accepted Answer

An in-memory relational database

Question 11

Which of the following workloads benefits the most from a columnar database?

Accepted Answer

OLAP

Question 12

What is a common use case for in-memory databases?

Accepted Answer

Real-time analytics and processing

Question 13

What is an In-Memory Database

Accepted Answer

A database that stores data primarily in RAM for faster access

Question 14

Which of the following best describes how columnar databases handle updates and deletes?

Accepted Answer

They use delete vectors and append new values

Question 15

Which of the following is a commonly used persistence mechanism in in-memory databases?

Accepted Answer

Snapshot-based storage and transaction logs

Question 16

Which of the following is an example of an in-memory database system?

Accepted Answer

Redis

Question 17

What is the primary reason in-memory databases are often combined with disk-based databases?

Accepted Answer

To support larger datasets than available RAM

Question 18

SparkSQL can be integrated with which of the following?

Accepted Answer

Apache Hive

Question 19

Which of the following best describes how columnar databases handle updates and deletes?

Accepted Answer

They use delete vectors and append new values

Question 20

Which of the following in-memory databases supports both key-value and document storage?

Accepted Answer

Redis

Question 21

What is a key characteristic of VoltDB?

Accepted Answer

In-memory storage for fast transactions

Question 22

Which programming languages can be used with SparkSQL?

Accepted Answer

Java, Scala, Python, and R

Question 23

Which of the following is a major reason why in-memory databases are faster than disk-based databases?

Accepted Answer

They avoid disk I/O latency

Question 24

What is VoltDB primarily designed for?

Accepted Answer

High-frequency transaction processing

Question 25

Which query type benefits the most from columnar storage?

Accepted Answer

Aggregation queries

Question 26

What is the primary advantage of a columnar database over a row-based database?

Accepted Answer

Efficient data retrieval for analytical queries

Question 27

VoltDB primarily supports which type of transactions?

Accepted Answer

Short-lived, ACID-compliant transactions

Question 28

What is one limitation of in-memory databases?

Accepted Answer

Higher RAM requirements increase costs

Question 29

How does TimesTen persist data?

Accepted Answer

It periodically writes snapshots and logs to disk

Question 30

Which of the following is a key benefit of in-memory databases?

Accepted Answer

Improved transactional processing speed

Question 31

In a columnar database, data is stored in which of the following ways?

Accepted Answer

Sequentially in columns

Question 32

What is a key disadvantage of columnar databases compared to row-based databases?

Accepted Answer

Slower performance for transactional workloads

Question 33

What is the main reason columnar databases are preferred for analytical workloads?

Accepted Answer

They are optimized for read-heavy operations

UNIT 3 QUIZ NGD

Questions 33

UNIT 3 QUIZ NGD

Questions 33