Characteristics of Online Transaction Processing (OLTP) Workload
Question
What are three characteristics of an Online Transaction Processing (OLTP) workload? Each correct answer presents a complete solution.
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Answers
Explanations
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A. B. C. D. E. F.BDF
B: Transactional data tends to be heavy writes, moderate reads.
D: Typical traits of transactional data include: schema on write, strongly enforced
F: Transactional data tends to be highly normalized.
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/online-transaction-processingOnline Transaction Processing (OLTP) workload is a type of workload that is characterized by a high volume of short and fast transactions, such as database inserts, updates, and deletes. These transactions are typically related to business operations, and OLTP systems are designed to support real-time processing of these transactions. Below are the three characteristics of an OLTP workload:
B. Heavy writes and moderate reads: OLTP workload is characterized by a high volume of write transactions, such as inserting or updating records in a database. These transactions are typically short and fast, and require immediate processing. In contrast, read transactions in OLTP workload are usually moderate in volume, as users typically query for specific records or sets of records in real-time.
F. Normalized data: OLTP systems usually store data in a normalized form, which means that data is organized into smaller, more manageable tables to reduce redundancy and improve data consistency. Normalization ensures that each table has a single purpose and is free of redundant data. This design approach helps to optimize data storage and retrieval, and also facilitates better data management.
D. Schema on write: OLTP systems typically use the schema on write approach, which means that the data schema is defined and enforced when data is inserted or updated in the database. This approach ensures data integrity and consistency, as the schema is enforced at the point of data entry, rather than at the time of retrieval. It also ensures that data conforms to a predefined structure, which helps to facilitate data processing and analysis.
In summary, OLTP workloads are characterized by heavy writes and moderate reads, normalized data, and schema on write approach. These characteristics make OLTP systems ideal for real-time processing of short and fast transactions, such as those associated with business operations.
