Online Analytical Processing (OLAP) MCQs

By: Prof. Dr. Fazal Rehman Shamil | Last updated: August 7, 2024

Question: What is OLAP (Online Analytical Processing)?

A) A technique for online transaction processing
B) A technique for real-time data integration
C) A technology for complex analysis of data from multiple perspectives
D) A technique for data compression
Answer: C) A technology for complex analysis of data from multiple perspectives

Question: Which of the following is a characteristic of OLAP systems?

A) Optimized for high-speed data entry
B) Optimized for complex analytical queries
C) Optimized for handling real-time data streams
D) Optimized for maintaining data consistency
Answer: B) Optimized for complex analytical queries

Question: What does OLAP cube represent in OLAP systems?

A) A hierarchical structure for organizing data
B) A compressed format for storing data
C) A schema for relational databases
D) A technique for data normalization
Answer: A) A hierarchical structure for organizing data

Question: Which type of OLAP cube structure stores precomputed aggregations at multiple levels of granularity?

A) MOLAP (Multidimensional OLAP)
B) ROLAP (Relational OLAP)
C) HOLAP (Hybrid OLAP)
D) DOLAP (Desktop OLAP)
Answer: A) MOLAP (Multidimensional OLAP)

Question: In OLAP terminology, what does “drill-down” refer to?

A) Moving from detailed data to summary data
B) Moving from summary data to detailed data
C) Analyzing data in real-time
D) Converting OLAP data into OLTP data
Answer: B) Moving from summary data to detailed data

Question: Which OLAP operation involves rotating the cube to view it from different perspectives?

A) Drill-down
B) Slice
C) Dice
D) Pivot
Answer: D) Pivot

Question: What is the purpose of the “slice” operation in OLAP?

A) To aggregate data across multiple dimensions
B) To view a subset of data for a specific dimension
C) To perform complex data transformations
D) To store OLAP data in a relational database
Answer: B) To view a subset of data for a specific dimension

Question: Which OLAP architecture stores data in a relational database management system (RDBMS)?

A) MOLAP (Multidimensional OLAP)
B) ROLAP (Relational OLAP)
C) HOLAP (Hybrid OLAP)
D) DOLAP (Desktop OLAP)
Answer: B) ROLAP (Relational OLAP)

Question: What is the benefit of using a HOLAP (Hybrid OLAP) approach?

A) It provides fast query performance with pre-aggregated data
B) It supports real-time data processing
C) It offers a compressed storage format for data
D) It integrates OLAP and OLTP operations
Answer: A) It provides fast query performance with pre-aggregated data

Question: Which OLAP operation involves selecting data based on multiple criteria across multiple dimensions?

A) Drill-down
B) Slice
C) Dice
D) Pivot
Answer: C) Dice

Question: How does OLAP support decision-making processes in organizations?

A) By optimizing data entry processes
B) By enabling interactive analysis of multidimensional data
C) By automating data integration tasks
D) By performing real-time data validation
Answer: B) By enabling interactive analysis of multidimensional data

Question: What role does the OLAP server play in OLAP systems?

A) It manages user access controls
B) It handles online transaction processing (OLTP)
C) It executes complex analytical queries and calculations
D) It optimizes data storage in a data warehouse
Answer: C) It executes complex analytical queries and calculations

Question: Which OLAP architecture is known for its ability to handle large volumes of data and complex queries efficiently?

A) MOLAP (Multidimensional OLAP)
B) ROLAP (Relational OLAP)
C) HOLAP (Hybrid OLAP)
D) DOLAP (Desktop OLAP)
Answer: A) MOLAP (Multidimensional OLAP)

Question: What does the term “OLAP cube” refer to?

A) A compressed data structure for storing OLTP data
B) A multidimensional structure for organizing and representing data in OLAP systems
C) A relational database schema optimized for OLAP operations
D) A hierarchical data model for OLAP data integration
Answer: B) A multidimensional structure for organizing and representing data in OLAP systems

Question: How does OLAP differ from OLTP (Online Transaction Processing)?

A) OLAP focuses on real-time data entry, while OLTP focuses on analytical queries.
B) OLAP is optimized for complex analytical queries, while OLTP is optimized for transaction processing.
C) OLAP uses a normalized database schema, while OLTP uses a denormalized schema.
D) OLAP supports data validation, while OLTP supports data integration.
Answer: B) OLAP is optimized for complex analytical queries, while OLTP is optimized for transaction processing.

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