Data Warehouse Architecture MCQs

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

Question: What is a data warehouse?

A) A database optimized for online transaction processing (OLTP)
B) A database optimized for real-time data analytics
C) A centralized repository for integrated data from multiple sources
D) A distributed file system for storing unstructured data
Answer: C) A centralized repository for integrated data from multiple sources

Question: What is the primary purpose of a data warehouse?

A) To store raw, unprocessed data
B) To support online transaction processing (OLTP)
C) To facilitate decision-making through data analysis and reporting
D) To manage data access permissions
Answer: C) To facilitate decision-making through data analysis and reporting

Question: Which component of a data warehouse architecture is responsible for extracting data from multiple sources?

A) Data integration layer
B) Data storage layer
C) Data presentation layer
D) Data access layer
Answer: A) Data integration layer

Question: What role does the data storage layer play in a data warehouse architecture?

A) It transforms and cleanses data before loading it into the warehouse
B) It stores historical and current data in a structured format
C) It provides visualization tools for data analysis
D) It manages user queries and data retrieval
Answer: B) It stores historical and current data in a structured format

Question: Which component of a data warehouse architecture facilitates querying and reporting?

A) Data integration layer
B) Data storage layer
C) Data presentation layer
D) Data access layer
Answer: D) Data access layer

Question: What is the purpose of the data integration layer in a data warehouse architecture?

A) To store and manage metadata
B) To provide data visualization capabilities
C) To integrate data from heterogeneous sources
D) To manage user access controls
Answer: C) To integrate data from heterogeneous sources

Question: Which architectural approach involves storing data in a denormalized format to optimize query performance?

A) Star schema
B) Snowflake schema
C) Third normal form (3NF)
D) Entity-Relationship (ER) model
Answer: A) Star schema

Question: In data warehouse architecture, what does the ETL process refer to?

A) Extraction, Transformation, and Loading of data into the warehouse
B) Extraction and Tracking of data lineage
C) Entity, Transformation, and Loading of data
D) Extraction, Transmission, and Loading of data into the warehouse
Answer: A) Extraction, Transformation, and Loading of data into the warehouse

Question: Which component of a data warehouse architecture is responsible for data presentation and visualization?

A) Data integration layer
B) Data storage layer
C) Data presentation layer
D) Data access layer
Answer: C) Data presentation layer

Question: What does metadata management involve in the context of a data warehouse?

A) Managing access control lists (ACLs) for data security
B) Storing and managing information about data sources, definitions, and relationships
C) Managing the physical storage of data files
D) Optimizing database performance through indexing
Answer: B) Storing and managing information about data sources, definitions, and relationships

Question: Which type of schema is commonly used in data warehouse architectures for representing dimensional data?

A) Third normal form (3NF)
B) Star schema
C) Snowflake schema
D) Entity-Relationship (ER) model
Answer: B) Star schema

Question: What is the benefit of using a snowflake schema in data warehouse architecture?

A) It reduces query complexity
B) It simplifies data integration
C) It optimizes data storage
D) It improves data visualization
Answer: B) It simplifies data integration

Question: How does partitioning contribute to data warehouse performance?

A) By optimizing query execution across distributed data nodes
B) By reducing the size of the database
C) By encrypting sensitive data
D) By managing data redundancy
Answer: A) By optimizing query execution across distributed data nodes

Question: Which data warehouse architecture component ensures data consistency and accuracy?

A) Data integration layer
B) Data storage layer
C) Data presentation layer
D) Data quality layer
Answer: D) Data quality layer

Question: What role does OLAP (Online Analytical Processing) play in a data warehouse architecture?

A) It handles online transaction processing (OLTP)
B) It supports real-time data analytics
C) It enables complex analytical queries and multidimensional analysis
D) It manages data access permissions
Answer: C) It enables complex analytical queries and multidimensional analysis

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