Kinaxis Certified RapidResponse Author Level 3 Exam KX3-003 Exam Dumps: Updated Questions & Answers (October 2025)

To provide a worksheet based on the CRPOperation table that reports the destination location and to view all valid work centers that feed a given stock location:

Statement B:Create a reference field on the CRPOperation table to the Location table. This approach establishes a direct relationship between operations and their respective locations, enabling efficient reporting and querying capabilities for the secondary requirement of viewing work centers related to a stock location.

Creating a reference field on the CRPOperation table to the Location table (B) is the most efficient way to report destination location while allowing visibility of all valid work centers that feed a given stock location.

References:

Kinaxis RapidResponse Author Level 3 training emphasizes the importance of efficient data modeling and reference creation for performance optimization1.

The Kinaxis RapidResponse documentation suggests that creating direct references between tables ensures better performance than creating additional lookup tables or worksheets23.

The OrderGenerationRule of 'AfterPTF' with a LeadTime of 2 days and a PlanningTimeFence (PTF) of 2 means that planned orders will be generated for demands occurring after the planning time fence period, considering the lead time for production. Table II shows negative balances past the planning time fence (06-01 and 06-02 are within the planning time fence), indicating planned orders are created after these dates to cover upcoming demands. Therefore, planned orders appear on 06-04 and 06-05, taking into account the 2-day lead time post the planning time fence.

ReferencesThis follows Kinaxis RapidResponse rules for order generation where the PlanningTimeFence and LeadTime dictate when planned orders are created in response to demand, as detailed in the Kinaxis documentation on planning strategies.

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.

In the context of creating a metric worksheet for calculating the number of late orders, you want to group by DueDate to consolidate orders that are due on the same day, and then sum the Count for each of these groups to get the total number of late orders per day. Therefore, DueDate should be the grouping column, and Count should use the Sum function to add up all instances of late orders for each DueDate.

References:

Kinaxis RapidResponse documentation on creating metric worksheets.

Kinaxis learning resources on the use of expressions and functions for grouping and aggregation in worksheets.

To determine the total number of unique customers that have orders for each part, the COUNT function with a By qualifier is used. This counts the number of unique instances of a field within a set, which in this case is the Customer field within the IndependentDemands.

ReferencesThe COUNT function with a By qualifier is detailed in the Kinaxis RapidResponse documentation regarding aggregation functions, which specifies how to count unique occurrences of a field within a data set.

A. Enabling the Bucket data by date checkbox and setting the Bucket Size to Day and the Number of Buckets to 730 would directly create a view that organizes daily historical data into daily buckets spanning the last two years (since there are 365 days in a year, multiplied by 2).

C. Creating calendar interval, start date, and end date variables using the CalendarDate table allows for the configuration of a custom time range in the worksheet. These variables can be referenced to display historical data for the desired period.

B is not correct because adjusting the Anchor date by 1 year would only provide data for the last year, not two. D is not correct because it suggests a method of filtering data by date without bucketing, which does not align with the requirement to show historical data in daily buckets.

References:

Kinaxis RapidResponse documentation on bucketing data by date.

Kinaxis support resources on configuring worksheets with date variables and bucketing.

Using the NOT IN operator with the key fields from the PlannedOrder table in the LKPScheduledReceipt worksheet is the most direct and efficient way to excluderecords that already exist. This filter checks if the combination of Part and DueDate from PlannedOrder records does not exist in the LKPScheduledReceipt worksheet, ensuring that only new ScheduledReceipt records will be created.

ReferencesThe best practices for filter expressions in Kinaxis RapidResponse workbooks, as described in the documentation, recommend using simple and direct expressions that efficiently exclude existing records to improve performance.

To enable customers to view only their independent demands within RapidResponse, profile variables and worksheet filters are used. The profile variable 'CustomerView' will be set to match the customer name to the user's group name. In the worksheet filter, theOrder.Customer.IDis the correct field to match against the profile variable because user IDs and customer IDs are more likely to be used as unique identifiers in system configurations, rather than customer names which could potentially have duplicates or variations.

Thus, when customers log in, the worksheet filter will apply, and they will only see the independent demands that correspond to their own customer ID, ensuring data visibility is restricted appropriately.

References:

Kinaxis RapidResponse documentation on user group configuration and data access control.

Kinaxis training materials on creating profile variables and configuring worksheet filters for personalized data views.

ReferencesThe information is based on the best practices for creating filters and profile variables within RapidResponse as indicated in the training materials and documentation provided by Kinaxis123.

When defining a new table in the TRM namespace that requires a key reference to a table in another namespace (in this case, the Mfg namespace), you must add the namespace containing the referenced table as a dependency to the namespace where the new table will be created. By doing this, the new namespace acknowledges the existence of the other namespace and its tables, allowing for proper reference linking. This is why the correct action to take is to add the Mfg namespace as a dependency for the TRM namespace.

ReferencesThis information is in line with the principles of data modeling in Kinaxis RapidResponse, where namespaces serve as containers for data model components such as tables and fields, and dependencies between namespaces must be defined to create cross-references between tables located in different namespaces.

References:

Kinaxis RapidResponse Author Level 3 training materials emphasize the importance of setting dependencies between namespaces to ensure proper reference and functionality within the data model12.

The Kinaxis documentation on data modeling and table creation within RapidResponse provides guidelines on how to manage namespaces and their dependencies34.

Performance issues often stem from the complexity of calculations and the size of the data sets they are applied to. In this case, the use of a calculated field (NameAndDescription) in the hierarchy definition is the most likely cause of performance degradation. This field is calculated on the fly using a concatenation of the Name and Description, which is a more resource-intensive process compared to using static fields.

Calculated fields, especially those involving string operations like concatenation, can be significantly slower because they require runtime computation. This contrasts with static fields that are indexed and retrieved directly from the database without additional computational overhead.

References:

Kinaxis RapidResponse documentation on hierarchy design and performance considerations.

Kinaxis best practices for creating efficient hierarchies and using calculated fields.

Using a calculated field, especially one that concatenates strings like in option C, can significantly impact performance because it requires additional computation for each record. This is more resource-intensive than using a direct field value, which would explain the poorer performance when using the PartFamily hierarchy compared to the PartPlanner hierarchy.

References:

Kinaxis RapidResponse Author Level 3 training materials1.

Web search results and Kinaxis best practices2.