Intelligent process automation (IPA) isn’t for everyone. Let me explain. Intelligent process automation is meant for large-scale digital transformations. So if you're looking to make small changes at the margins, like automating simple tasks, IPA probably isn't for you. IPA is better suited to large organizations with lots of data that want to streamline complex, enterprise-wide processes—to digitally transform their workflows, top to bottom.
When doing testing automation, it is extremely critical to be able to perform data-driven testing. Data-driven testing (DDT) at the test case level allows you to add one or more data files and manage data binding at the test case level. The most common approach is to provide an Excel or CSV file as input to the test case. The file is modeled per test case structure and then populated with different datasets.
Test automation has become an essential part of the software development process. Rather than spending hours conducting manual tests, you can write a script once and execute it with each release. This helps to maximize test coverage and save time, resulting in lower testing costs and a better customer experience. But which test automation tool should you use? What’s the difference?
Bank turmoil associated with recent bank failures has highlighted the importance of due diligence for managing financial risk, growing revenue, and retaining jittery customers. Regulators will likely ramp up their scrutiny–even after hitting financial institutions with a jaw-dropping $2.7 billion in fines in 2021 for failing to meet compliance and due diligence standards.
In this section, we’ll explore the basic manual testing interview questions that all testers should be able to answer. These questions aim to discover the candidate’s understanding of manual testing, automation testing, the differences between the two, as well as the process of testing.
