KX3-003 Exam Dumps : Certified RapidResponse Author Level 3 Exam

The migration of the Supplier.Id filter to the secondary filter expression box allows for enabling caching because it is a user-specific filter. Moving user-specific or session-specific expressions to the secondary filter ensures that the primary filter canbe cached independently of user sessions. This way, the overall data set can be cached, and the user-specific filtering is applied afterward, improving performance.

References:

• Kinaxis RapidResponse documentation on primary and secondary worksheet filters.
• Kinaxis support resources on caching strategies and performance improvements for worksheets.

When you share a scheduled task with other users in Kinaxis RapidResponse and the option "When other users run this scheduled task, run as: Scheduled task owner" is selected, those users will be able to run the task using the resource access rights of the task owner. This means that even if the users do not have access to all the resources used in the task, they can still run it because the task will execute with the owner's permissions.

ReferencesThe Kinaxis RapidResponse help documentation explains how sharing and permissions work, including details on what happens when scheduled tasks are shared with users who might not have access to all the necessary resources.

If each order is associated with a single salesperson and the goal is to filter records by the salesperson's name, the most straightforward solution is to add a field directly to the DemandOrder table where orders are recorded. This avoids unnecessary joins to another table and simplifies the data model. According to database normalization principles, if the field is non-repetitive and directly related to the entity (in this case, the order), it should be placed on the same table.

ReferencesThe addition of a single attribute that is not multi-valued, non-repeating, and directly related to the primary key in the table aligns with the first normal form (1NF) in database normalization. This approach is also supported by Kinaxis best practices for efficient data retrieval.