Azure SQL Database: Processing Type for E-Commerce Application

E-Commerce Application

Question

You have an e-commerce application that reads and writes data to an Azure SQL database.

Which type of processing does the application use?

Answers

Explanations

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A. B. C. D.

D

OLTP is designed to serve as a persistent data store for business or front-end applications. OLTP administers day to day transaction of an organization.

https://sqlwizard.blog/2020/03/15/sql-server-oltp-vs-olap/

The correct answer is D. Online Transaction Processing (OLTP).

Explanation: An e-commerce application that reads and writes data to an Azure SQL database is an example of an online transaction processing (OLTP) application. OLTP systems are designed to support real-time transaction processing and are used for applications that require rapid access to data, such as point of sale systems, banking transactions, and e-commerce applications.

OLTP systems are characterized by short transactions that involve inserting, updating, and deleting small amounts of data in a database. The emphasis is on concurrency and the ability to handle multiple users accessing the database simultaneously. These systems are optimized for high availability and fast response times, and they typically run on powerful servers with large amounts of memory and fast storage.

In contrast, batch processing (option B) is a data processing technique that involves processing large volumes of data in batches, often during off-peak hours. This approach is typically used for tasks such as report generation, data warehousing, and ETL (extract, transform, load) processes.

Stream processing (option A) is a data processing technique that involves processing data in real-time as it is generated, such as from sensors, IoT devices, or social media feeds. This approach is typically used for tasks such as real-time analytics, fraud detection, and monitoring systems.

Online Analytical Processing (OLAP) (option C) is a data processing technique that involves analyzing large volumes of data to generate insights and support decision-making. This approach is typically used for tasks such as business intelligence, data mining, and predictive analytics.

In summary, the e-commerce application that reads and writes data to an Azure SQL database is an example of an online transaction processing (OLTP) system, which is optimized for real-time transaction processing, concurrency, and high availability.