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Overall MCQs for Reference
- Which characteristic is NOT essential for a data warehouse?
a. Subject-oriented
b. Integrated
c. Volatile
d. Time-variant
Answer: c. Volatileinterviewbit+1 - The concept of a data warehouse was first defined by:
a. Edgar F. Codd
b. Bill Inmon
c. Michael Stonebraker
d. Ralph Kimball
Answer: b. Bill Inmontestbook+1 - Data warehouses are optimized primarily for:
a. Transaction processing
b. Query processing
c. Image processing
d. File storage
Answer: b. Query processingscribd+1 - Which component organizes and manages the data storage in the warehouse architecture?
a. Metadata Repository
b. ETL Tools
c. Data Warehouse
d. OLAP Server
Answer: c. Data Warehouseeasyexamnotes - What schema arranges data in a central fact table surrounded by dimension tables?
a. Snowflake Schema
b. Star Schema
c. Constellation Schema
d. Hybrid Schema
Answer: b. Star Schemaeasyexamnotes - Which term describes the repository storing information about the structure and contents of the warehouse?
a. Data Mart
b. OLAP Server
c. Metadata Repository
d. ETL Tools
Answer: c. Metadata Repositoryeasyexamnotes - Combining data from disparate sources into a unified format is called:
a. Data Cleaning
b. Data Integration
c. Data Transformation
d. Data Reduction
Answer: b. Data Integrationeasyexamnotes - Partitioning in data warehousing is primarily used to:
a. Increase redundancy
b. Improve storage efficiency
c. Complicate analysis
d. Decrease data accuracy
Answer: b. Improve storage efficiencyeasyexamnotes - A subset of a data warehouse focused on specific subjects or users is a:
a. Data Warehouse
b. Data Mart
c. Data Cube
d. Fact Table
Answer: b. Data Marteasyexamnotes - The primary objective of data cleaning is to:
a. Complicate analysis
b. Improve data quality
c. Increase redundancy
d. Decrease storage costs
Answer: b. Improve data qualityeasyexamnotes - Which is NOT a typical operation in a data warehouse?
a. Data Cleaning
b. Data Transformation
c. Transaction Processing
d. Data Loading
Answer: c. Transaction Processingtestbook+1 - Data warehouse data is generally:
a. Volatile
b. Non-volatile
c. Temporary
d. Confidential
Answer: b. Non-volatileinterviewbit+1 - The time horizon in a data warehouse is usually:
a. 1-2 years
b. 3-4 years
c. 5-6 years
d. 5-10 years
Answer: d. 5-10 yearsscribd+1 - Data is stored, retrieved & updated in which system?
a. OLAP
b. OLTP
c. SMTP
d. FTP
Answer: b. OLTPscribd - Data contained in the warehouse is typically:
a. Subject-oriented
b. Integrated
c. Time-variant
d. All of the above
Answer: d. All of the aboveinterviewbit+1 - What is the full form of ETL?
a. Extract, Transform, Load
b. Evaluate, Test, Launch
c. Edit, Transform, Link
d. Extract, Transfer, List
Answer: a. Extract, Transform, Loadupesonline+1 - What is a major difference between a database and a data warehouse?
a. Data warehouse handles transactions
b. Data warehouse stores only real-time data
c. Data warehouse stores historical data
d. Database supports only batch processing
Answer: c. Data warehouse stores historical datacoursera+1 - Metadata is used to:
a. Store raw data
b. Provide information about data
c. Manage indexes
d. Run analytics
Answer: b. Provide information about datascribd+1 - What is the main role of OLAP in a warehouse?
a. Transaction processing
b. Analytical processing
c. Security management
d. Backup operations
Answer: b. Analytical processingfreshersnow+1 - Which schema uses normalized tables for dimensions?
a. Star Schema
b. Snowflake Schema
c. Constellation Schema
d. Hybrid Schema
Answer: b. Snowflake Schemacoursera+1 - Data marts are created to:
a. Store log files
b. Serve specific business needs
c. Replace operational databases
d. Increase system redundancy
Answer: b. Serve specific business needsfreshersnow+1 - Which process removes redundant or irrelevant data?
a. Data Integration
b. Data Cleaning
c. Data Transformation
d. Data Reduction
Answer: d. Data Reductioneasyexamnotes - Changing dimensions slowly over time is handled by:
a. Real-Time ETL
b. Slowly Changing Dimensions
c. Aggregate Tables
d. Data Partitioning
Answer: b. Slowly Changing Dimensionssimplilearn+1 - What component performs analytics in a warehouse?
a. ETL Tools
b. OLAP Server
c. Metadata Repository
d. Data Mart
Answer: b. OLAP Servertestbook+1 - Which warehouse method is used to optimize query performance?
a. Replication
b. Partitioning
c. Aggregation
d. Normalization
Answer: b. Partitioningdatacamp+1 - Which is an example of a cloud-based data warehouse?
a. MySQL
b. Redshift
c. Oracle DB
d. MongoDB
Answer: b. Redshiftupesonline+1 - Which process combines and transforms data for loading?
a. OLAP
b. ELT
c. ETL
d. HDFS
Answer: c. ETLinterviewbit+1 - What is an aggregate table in a warehouse?
a. Table storing all raw data
b. Table with summarized data
c. Table for backup
d. Table for meta information
Answer: b. Table with summarized datasimplilearn - Which operation is NOT associated with data warehousing?
a. Dice
b. Roll up
c. Drill down
d. Sticking
Answer: d. Stickingsanfoundry - What is the primary use case for a data warehouse?
a. Supporting operational applications
b. Large-scale analytics and reporting
c. Website management
d. Image processing
Answer: b. Large-scale analytics and reportingdatacamp+1 - The warehouse architecture layer responsible for extracting data is:
a. ETL Layer
b. Presentation Layer
c. Metadata Layer
d. Analytics Layer
Answer: a. ETL Layerupesonline+1 - OLTP systems are used for:
a. Analytical processing
b. Transaction processing
c. Data warehousing
d. File storing
Answer: b. Transaction processingtestbook+1 - What is the purpose of using a star schema?
a. To normalize data
b. To simplify complex queries
c. To collect raw data
d. To increase redundancy
Answer: b. To simplify complex queriesupesonline+1 - Which is NOT a layer in typical warehouse architecture?
a. Source Layer
b. Data Storage Layer
c. Presentation Layer
d. Network Layer
Answer: d. Network Layercoursera+1 - Which tool is NOT typically an ETL tool?
a. Informatica
b. Talend
c. Tableau
d. SSIS
Answer: c. Tableausimplilearn+1 - How is data loaded into the warehouse?
a. Direct transfer
b. Through ETL
c. By manual entry
d. Network migration
Answer: b. Through ETLinterviewbit+1 - Which technique arranges data in cubes for analysis?
a. Data Mart
b. OLAP
c. Metadata
d. ETL
Answer: b. OLAPfreshersnow+1 - Data profiling is mainly used for:
a. Performance optimization
b. Identifying data anomalies
c. Query writing
d. Data encryption
Answer: b. Identifying data anomaliesdatacamp+1 - The main advantage of a constellation schema is:
a. Decentralization
b. Supporting multiple fact tables
c. Single data source
d. High redundancy
Answer: b. Supporting multiple fact tablessimplilearn+1 - Which of the following ensures data security in warehouses?
a. Indexing
b. Encryption
c. Aggregation
d. Data binding
Answer: b. Encryptiondatacamp+1 - The process of scheduling periodic ETL loads is called:
a. Incremental loading
b. Full refresh
c. Job scheduling
d. Rollback
Answer: c. Job schedulingdatacamp+1 - A warehouse typically stores data from:
a. Single source
b. Multiple sources
c. Temporary logs
d. One-time batch
Answer: b. Multiple sourcestestbook+1 - Which is NOT a feature of data warehouse?
a. Time variant
b. Non-volatile
c. Transactional
d. Integrated
Answer: c. Transactionalscribd+1 - Which component allows business users to analyze and query data?
a. OLAP
b. OLTP
c. ETL
d. Metadata
Answer: a. OLAPfreshersnow+1 - A snowflake schema is said to:
a. Denormalize dimensions
b. Normalize dimension tables
c. Centralize facts
d. Confuse users
Answer: b. Normalize dimension tablessimplilearn+1 - Which of these is a challenge for real-time warehousing?
a. Hardware cost
b. Legacy data
c. Latency
d. Data warehouse size
Answer: c. Latencyupesonline+1 - For performing trend analysis, what is required in a warehouse?
a. Text Mining
b. Aggregated historical data
c. Image processing
d. SQL ranking
Answer: b. Aggregated historical datatestbook+1 - What’s NOT part of the ETL process?
a. Extraction
b. Transformation
c. Looping
d. Loading
Answer: c. Loopinginterviewbit+1 - To reduce storage costs in a warehouse, use:
a. Data redundancy
b. Data reduction techniques
c. More indexing
d. Data cleaning
Answer: b. Data reduction techniquessimplilearn+1 - A data warehouse’s primary goal is to:
a. Support routine business operations
b. Provide actionable insights from historical data
c. Archive emails
d. Host websites
Answer: b. Provide actionable insights from historical datadatacamp+1
- https://www.interviewbit.com/data-warehousing-mcq/
- https://www.scribd.com/document/440492610/Data-Warehouse-MCQS-with-Answer-docx
- https://testbook.com/objective-questions/mcq-on-data-warehousing-and-data-mining–5eea6a0939140f30f369daaf
- https://easyexamnotes.com/data-warehousing-mcq/
- https://upesonline.ac.in/blog/data-warehousing-interview-questions-for-freshers-and-experienced
- https://www.coursera.org/in/articles/data-warehouse-interview-questions
- https://www.freshersnow.com/data-warehouse-mcqs-and-answers-with-explanation/
- https://www.simplilearn.com/tutorials/data-analytics-tutorial/data-warehouse-interview-questions
- https://www.datacamp.com/blog/data-warehouse-interview-questions
- https://www.sanfoundry.com/1000-data-mining-questions-answers/
- https://interviewkickstart.com/blogs/interview-questions/data-warehousing-mcqs-answers
- https://www.scribd.com/document/506878080/232863722-unit-I-MCQ
- https://www.youtube.com/watch?v=HJQBvJVyBzE
- https://www.examveda.com/database/practice-mcq-question-on-data-warehousing/
- https://www.interviewbit.com/data-warehouse-interview-questions/
- https://cozmocard.com/data-warehousing-mcq-questions-and-answers/2/
- https://www.wecreateproblems.com/interview-questions/data-warehousing-interview-questions