MCQs

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Overall MCQs for Reference

1. Which of the following best describes Online Transaction Processing (OLTP)?
   a. It focuses on complex analytical queries on historical data
   b. It enables real-time execution of numerous database transactions by many users
   c. It stores data only for backup purposes
   d. It is designed for batch processing without user interaction
   Answer: bibm​
2. What is a primary characteristic of OLTP systems?
   a. They process data in bulk
   b. They perform short, simple transactions concurrently
   c. They handle only read operations
   d. They are used only in offline mode
   Answer: bwikipedia+1​
3. Which is NOT a typical operation performed by OLTP?
   a. Insert
   b. Delete
   c. Complex aggregations
   d. Update
   Answer: clearninglabb+1​
4. What is the main goal of OLTP?
   a. Perform long-running data analysis
   b. Maintain data redundancy
   c. Efficiently process and store transactional data
   d. Support only non-financial operations
   Answer: clearn.microsoft​
5. OLTP systems are commonly used in:
   a. Market basket analysis
   b. ATM and banking transactions
   c. Social network analysis
   d. Fraud prediction
   Answer: btigerdata+1​
6. The typical database model used with OLTP is:
   a. Document-based
   b. Relational
   c. Multidimensional cubes
   d. Flat file
   Answer: baws.amazon​
7. OLTP systems are most sensitive to:
   a. High latency
   b. Data normalization
   c. Data denormalization
   d. Parallel querying
   Answer: ascylladb​
8. OLTP system ensures which property for each transaction?
   a. Atomicity
   b. Aggregation
   c. Standard deviation
   d. Star schema
   Answer: aaegissofttech​
9. An OLTP system can be described as:
   a. Handling historical aggregated data
   b. Processing real-time transactions on operational data
   c. Summarizing and visualizing data
   d. Only storing raw logs
   Answer: bsnowflake+2​
10. What is the typical architecture for OLTP systems?
    a. Single-tier
    b. Peer-to-peer
    c. Three-tier (presentation, logic, data store)
    d. Multi-cloud mesh
    Answer: coracle​
11. What type of query is most common in OLTP databases?
    a. JOIN with multi-terabyte tables
    b. Simple SELECT, INSERT, UPDATE, DELETE
    c. ETL jobs
    d. MapReduce queries
    Answer: bcelerdata+1​
12. OLTP and OLAP differ in that OLTP is:
    a. Frequently used for historical reporting
    b. Used for batch data mining
    c. Used for mission-critical operational transactions
    d. Optimized for slow, complex queries
    Answer: caerospike+1​
13. Data in OLTP environments is typically:
    a. Highly denormalized
    b. Pre-aggregated
    c. Normalized
    d. Anonymized
    Answer: clearn.microsoft+1​
14. What is typically minimized in OLTP databases?
    a. Transaction isolation
    b. Data redundancy
    c. Indexing
    d. Concurrent access
    Answer: baegissofttech+1​
15. Which of the following is NOT a suitable use case for OLTP?
    a. Real-time purchase processing
    b. Airline reservation systems
    c. Inventory update after a sale
    d. Generating quarterly sales trends
    Answer: dibm+1​
16. How does OLTP handle concurrent users?
    a. With strict scheduling and limited sessions
    b. With mechanisms for concurrent transaction management
    c. By denying concurrent access
    d. By only allowing read access
    Answer: bwikipedia+1​
17. What is the main focus of OLTP in business operations?
    a. Trend forecasting
    b. Ensuring data consistency and integrity for daily transactions
    c. Multidimensional cube building
    d. Predictive modeling
    Answer: bgeeksforgeeks+1​
18. Which component is crucial in an OLTP system for ensuring transaction durability?
    a. Data mart
    b. Write-ahead log (WAL) or redo log
    c. Cache-only storage
    d. Message bus
    Answer: bcelerdata​
19. In an OLTP context, “real-time” means:
    a. Batch processed after daily business close
    b. Transactions processed as they occur
    c. Data exported for analysis daily
    d. Delayed write to archive
    Answer: blakefs+1​
20. Processing a customer withdrawal at an ATM is best handled by:
    a. An OLAP database
    b. A flat file
    c. An OLTP system
    d. A cloud data lake
    Answer: ctigerdata+1​
21. Which is a challenge for OLTP systems as transaction volumes increase?
    a. Maintaining historical snapshots
    b. Sustaining low latency and high throughput
    c. Supporting advanced analytics in-database
    d. Reducing normalization
    Answer: blakefs+1​
22. OLTP systems are less suitable for:
    a. Storing operational data
    b. Handling slow-changing dimension tables
    c. High-frequency transactional operations
    d. Managing current business records
    Answer: bestuary​
23. What improves OLTP system scalability in modern architectures?
    a. Denormalized massive tables
    b. Integration with streaming and analytic layers
    c. Manual data exports
    d. Tape drives
    Answer: bcelerdata​
24. How is data consistency usually enforced in OLTP databases?
    a. ACID properties
    b. BASE properties
    c. Lambda functions
    d. Eventual consistency
    Answer: awikipedia+1​
25. In the context of machine learning, OLTP data is often used for:
    a. Training predictive models on historical data only
    b. Supporting real-time decisioning like fraud checks
    c. Large-scale feature engineering
    d. Image classification
    Answer: barxiv+1​
26. A main-memory OLTP database helps by:
    a. Slowing transaction response time
    b. Increasing real-time transaction speeds
    c. Reducing concurrency
    d. Disabling atomicity
    Answer: barxiv​
27. The transaction log in OLTP is useful for:
    a. Recovering from system crashes
    b. Drawing complex visualizations
    c. Forecasting future sales
    d. Converting schema designs
    Answer: aoracle+1​
28. OLTP systems, when used in e-commerce, primarily ensure:
    a. Product recommendation computation
    b. Session state and purchase order processing
    c. Data pipeline scheduling
    d. Ad-hoc summary reporting
    Answer: bibm+1​
29. Machine learning is used with OLTP for:
    a. Creating slower batch pipelines
    b. Optimizing transaction scheduling and performance
    c. Only historical query builds
    d. Schema federation
    Answer: barxiv+1​
30. Which is not an advantage of OLTP?
    a. Fast insert/update/delete
    b. High data redundancy
    c. Real-time response
    d. Supports high concurrency
    Answer: blakefs+1​
31. OLTP databases typically store:
    a. Historical data snapshots
    b. Operational, current data
    c. Summarized cubes
    d. Aggregated metadata
    Answer: baws.amazon+1​
32. In OLTP, the “presentation tier” refers to:
    a. The backend data warehouse
    b. The user-facing application or interface
    c. Middleware for logging
    d. Batch loader systems
    Answer: boracle​
33. Which of the following is a core requirement for OLTP system uptime?
    a. Planned daily downtime
    b. Continuous availability
    c. Weekly maintenance windows only
    d. Eventual consistency
    Answer: baerospike+1​
34. OLTP systems are characterized by:
    a. Long-running queries
    b. Transactional integrity and fast processing
    c. Data pipelines
    d. Machine learning modeling
    Answer: bsnowflake+1​
35. Examples of OLTP systems include all except:
    a. Airline booking
    b. Retail point of sale (POS)
    c. Business intelligence dashboards
    d. Bank ATMs
    Answer: ctigerdata+1​
36. OLTP is not suitable for which kind of workload?
    a. Balance queries
    b. Individual ticket booking
    c. Company-wide sales trend analysis
    d. Inventory decrement
    Answer: clearninglabb+1​
37. Which data modeling approach is most associated with OLTP?
    a. Entity-relational modeling
    b. Dimensional modeling
    c. Star schema
    d. Snowflake schema
    Answer: aaerospike​
38. Which operation would stress an OLTP system?
    a. Updating stock after each sale
    b. Monthly executive reporting
    c. Time series forecasting
    d. Data warehouse refresh
    Answer: aaegissofttech+1​
39. What happens if an OLTP system fails to ensure atomicity?
    a. Some transactions may partially execute, causing data inconsistencies
    b. System performance increases
    c. Queries are faster
    d. Model training improves
    Answer: awikipedia+1​
40. Which of the following technologies is often integrated with OLTP systems for modern applications?
    a. Kafka for event streaming
    b. Only disk-based file systems
    c. Tape libraries
    d. Data cubes
    Answer: acelerdata​
41. What is a “short transaction” in the OLTP context?
    a. A batch job running overnight
    b. A single unit of work executed quickly and fully
    c. A multi-week analytic process
    d. A log archive
    Answer: bsnowflake+1​
42. OLTP’s role in machine learning-driven fraud detection is typically:
    a. To aggregate logs for deep learning models
    b. To provide real-time transaction data for instant scoring
    c. To visualize sales patterns
    d. To extract historical features
    Answer: barxiv+1​
43. OLTP is essential for companies because it:
    a. Handles only internal analytics
    b. Enables day-to-day business operations and instant transactions
    c. Is primarily used in marketing campaigns
    d. Supports non-critical legacy applications
    Answer: baegissofttech+1​
44. Write-ahead logs (WAL) in OLTP help achieve:
    a. Durability
    b. Ease of use
    c. Dimensional modeling
    d. Delayed updates
    Answer: aoracle+1​
45. Which is a disadvantage of OLTP systems?
    a. Not suitable for running broad analytical queries
    b. Lacks support for current transactions
    c. Limited to one user
    d. No real-time transaction support
    Answer: alearninglabb​
46. OLTP environments typically maintain:
    a. Aggregated facts
    b. Summary tables only
    c. Detailed, current transaction records
    d. Unstructured text blobs
    Answer: caws.amazon+1​
47. In retail, OLTP enables which core functionality?
    a. Sales forecast generation
    b. Real-time inventory and purchase updates
    c. Executive dashboard analytics
    d. Data lake management
    Answer: bibm+1​
48. One difference between OLTP and OLAP is that OLTP:
    a. Stores petabytes of historical data
    b. Is focused on operational transaction data
    c. Designed for slow, planned queries
    d. Uses only unstructured data
    Answer: baerospike+2​
49. Which is NOT an OLTP use case?
    a. Hotel room booking
    b. Real-time message processing
    c. Product checkout in e-commerce
    d. Building historical data cubes
    Answer: dlearninglabb+1​
50. In OLTP-based machine learning applications, transactional logs can be used for:
    a. Training real-time anomaly detection models
    b. Aggregating decade-old business reports
    c. Only static schema definition
    d. Broadcasting bulk promotions
    Answer: aarxiv​

1. https://www.ibm.com/think/topics/oltp
2. https://en.wikipedia.org/wiki/Online_transaction_processing
3. https://learninglabb.com/difference-between-olap-and-oltp-in-data-mining/
4. https://www.geeksforgeeks.org/dbms/on-line-transaction-processing-oltp-system-in-dbms/
5. https://learn.microsoft.com/en-us/azure/architecture/data-guide/relational-data/online-transaction-processing
6. https://www.tigerdata.com/learn/understanding-oltp
7. https://aws.amazon.com/compare/the-difference-between-olap-and-oltp/
8. https://www.scylladb.com/glossary/online-transaction-processing/
9. https://www.aegissofttech.com/insights/what-is-oltp/
10. https://www.snowflake.com/en/fundamentals/olap-vs-oltp-the-differences/
11. https://www.oracle.com/in/database/what-is-oltp/
12. https://celerdata.com/glossary/online-transaction-processing-oltp
13. https://aerospike.com/blog/oltp-vs-olap/
14. https://www.stitchdata.com/resources/oltp-vs-olap/
15. https://www.geeksforgeeks.org/dbms/difference-between-olap-and-oltp-in-dbms/
16. https://lakefs.io/blog/oltp-guide-enterprise-data-architecture/
17. https://estuary.dev/blog/oltp-vs-olap/
18. https://arxiv.org/pdf/1903.02990.pdf
19. https://www.sprinkledata.com/blogs/oltp
20. https://www.ibm.com/think/topics/olap-vs-oltp