190+ PostgreSQL MCQ With Online Practice Test

PostgreSQL, often referred to as Postgres, is a powerful open-source relational database management system (RDBMS) known for its scalability, robustness, and extensibility. It offers advanced features like ACID compliance, support for complex data types, and support for both SQL and NoSQL data. PostgreSQL is highly regarded for its performance, security, and reliability, making it a popular choice for applications ranging from small startups to large enterprises. Its active developer community continuously enhances and maintains the software. PostgreSQL is an excellent choice for data storage, analysis, and management in various domains, including web applications, data warehousing, and geospatial applications.

Practice Test

151. What is the primary purpose of a data warehouse in the context of PostgreSQL?

Answer: To store and consolidate historical data for analysis and reporting

152. What does the term "ETL" stand for in data warehousing with PostgreSQL?

Answer: Extract, Transform, Load

153. Which PostgreSQL feature is often used for handling large volumes of data in data warehousing?

Answer: Partitioning

154. What is a "star schema" in the context of data warehousing with PostgreSQL?

Answer: A schema design where fact tables are connected to dimension tables

155. What does the "fact table" represent in a star schema of a data warehouse?

Answer: It contains measures and numeric data for analysis

156. What is the purpose of "OLAP" in data warehousing with PostgreSQL?

Answer: Online Analytical Processing (OLAP) is used for complex, interactive analysis of data in a data warehouse

157. What is the role of "cubes" in multidimensional analysis in data warehousing with PostgreSQL?

Answer: Cubes provide a structured way to aggregate and explore data for analytical purposes

158. What is "slowly changing dimension" (SCD) in data warehousing with PostgreSQL?

Answer: It refers to handling changes in data over time, especially in dimension tables

159. Which PostgreSQL extension is commonly used for data warehousing to manage large datasets?

Answer: "pgCube"

160. In data warehousing, what does "denormalization" refer to?

Answer: Combining data from multiple normalized tables into a single table for performance
Topic Tags