Which type of performance testing should a Solution Architect recommend for testing data at scale on this project?

Universal Containers (UC) is implementing a Salesforce B2B multi-cloud project with large volumes of data and daily transactions from multiple third-party systems via multiple integrations. UC is looking at transactions of more than 1 million records a week and, in higher seasons, 10 million records a week. UC has made the decision to get a full copy sandbox to use to test all of its third-party integrations across its multiple clouds. UC has also invested in MuleSoft and the Anypoint Platform as the single enterprise service bus for all of the third-party data going into Salesforce.

Which type of performance testing should a Solution Architect recommend for testing data at scale on this project?
A . Perform API load test against the full copy sandbox before go live.
B. Perform unit testing against the full copy sandbox codebase before go live in production.
C. Perform page load testing against production after go live.
D. Perform API load test against the partial copy sandbox before go live.

View Answer

Answer: A

Explanation:

There are different types of performance testing, such as load testing, stress testing, endurance testing, and spike testing. Each type has a different purpose and goal.

the best type of performance testing is API load test against the full copy sandbox before go live. This type of test can help you evaluate how well your integrations handle high volumes of data and transactions from multiple sources. It can also help you validate the functionality and performance of your MuleSoft Anypoint Platform.

To perform an API load test, you need to create a test plan that defines the test scenarios, test data, test tools, and test metrics. You also need to submit a request for performance testing to Salesforce2 and follow their guidelines and best practices.

A full copy sandbox is a good environment for API load test because it has the same data and metadata as your production org3. This can help you simulate realistic conditions and avoid data skew issues.

When dealing with large volumes of data and multiple integrations, it is important to perform load

testing to ensure that the system can handle the expected load. An API load test against the full copy sandbox will simulate the expected load and help identify any performance bottlenecks before the system goes live in production. This type of testing should be performed prior to go live to ensure that the system can handle the expected load and provide a good user experience.