What is one potential risk of not testing integration points before data load?

What is one potential risk of not testing integration points before data load?

• A. All user accounts will be deleted
• B. Data may be inaccessible due to system downtime
• C. Disruptions may occur in data exchange
• D. Data will be automatically archived

Answer: (C)

Not testing integration points before a data load can lead to disruptions in data exchange, which is a significant risk during the implementation of systems like Workday. Integration points are crucial for ensuring that data flows correctly between different systems and processes. If these points are not tested, there may be configuration errors or compatibility issues that can prevent data from being exchanged properly. For instance, if an integration relies on a particular format or data mapping that hasn't been validated, the system may not recognize incoming data or might process it incorrectly. This can cause delays in workflows, result in lost or incorrectly categorized information, and ultimately undermine the reliability of the data being loaded into the new system. Such disruptions can have cascading effects, impacting overall system functionality and user trust in the data accuracy. While the other choices reference potential concerns related to data management and system accessibility, they do not directly stem from failing to test integration points. For example, user accounts being deleted or data being archived are typically outcomes of mis-configurations or system settings rather than integration testing. Similarly, accessibility issues due to system downtime can occur for many reasons unrelated to the integration specifically. Thus, the most pertinent risk associated with not testing integration points prior to a data load is the potential for disruptions in data exchange, which

Not testing integration points before a data load can lead to disruptions in data exchange, which is a significant risk during the implementation of systems like Workday. Integration points are crucial for ensuring that data flows correctly between different systems and processes. If these points are not tested, there may be configuration errors or compatibility issues that can prevent data from being exchanged properly.

For instance, if an integration relies on a particular format or data mapping that hasn't been validated, the system may not recognize incoming data or might process it incorrectly. This can cause delays in workflows, result in lost or incorrectly categorized information, and ultimately undermine the reliability of the data being loaded into the new system. Such disruptions can have cascading effects, impacting overall system functionality and user trust in the data accuracy.

While the other choices reference potential concerns related to data management and system accessibility, they do not directly stem from failing to test integration points. For example, user accounts being deleted or data being archived are typically outcomes of mis-configurations or system settings rather than integration testing. Similarly, accessibility issues due to system downtime can occur for many reasons unrelated to the integration specifically. Thus, the most pertinent risk associated with not testing integration points prior to a data load is the potential for disruptions in data exchange, which