KX3-003 Kinaxis Certified RapidResponse Author Level 3 Exam Free Practice Exam Questions (2025 Updated)

Turning off bucket settings can improve performance by reducing the computational load required to generate the buckets. Adding an expression to filter out records that are beyond the one-year horizon ensures that only data relevant to the desired timeframe (one year's worth of forecast records) is displayed. This streamlines the data set, potentially improving load times and making the worksheet more responsive.

ReferencesKinaxis RapidResponse documentation recommends streamlining worksheet data and using filters to improve performance, especially when dealing with large data sets or long time horizons.

References:The answer is based on general best practices for performance improvement in data systems, which suggest limiting data to the necessary scope.Specific Kinaxis RapidResponse documentation cannot be accessed or verified by me, so please refer to the official Kinaxis training materials for RapidResponse Author Level 3 for detailed guidance12.

When an automation chain step that runs in parallel with other steps is removed, it does not affect the operation of the remaining steps. The other steps that were originally set up to run in parallel will continue to run in parallel unless their configuration is changed manually.

ReferencesKinaxis RapidResponse's documentation on automation chains clarifies the behavior of parallel steps in an automation chain when one step is modified or removed. The behavior and configuration of the remaining steps persist until they are manually changed.

References:The answer is based on general knowledge of automation chains and parallel processing.For specific Kinaxis RapidResponse functionality, please refer to the official training materials and documentation123.

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.

Structure II shows BuyerCode connected to Department and Department connected to Manager. This setup supports multiple departments per manager while allowing for each department to be on a specific floor. Since users may want to filter on combinations of BuyerCode, Manager, Department, and Floor, this design accommodates such queries efficiently by structuring the Department as a central entity that relates to the others. In Structure II, Department is linked to BuyerCode and Manager, enabling a query to traverse from BuyerCode to Manager through Department, making it optimal for the desired filters.

ReferencesBest practices for database design suggest structuring your data model to reflect the relationships between entities in a way that supports the expected queries and filters. In Kinaxis RapidResponse, this often means creating a logical structure that minimizes join complexity and optimizes the data model for typical user operations.

When setting the bucket date in an insert definition, if the requirement is to have the record due on the last workday of the week (which is Friday or Thursday if Friday is a non-workday), then the correct approach is to configure the insert definition to use the last workday in the bucket. This will ensure that the due date falls on the correct day according to the specified requirement.

ReferencesThe Kinaxis RapidResponse documentation details how to use bucket dates and adjust them according to workdays in the insert definition setup for crosstab worksheets.

When forecasts are spread into smaller time intervals using a spreading profile, the quantities are distributed according to the specified proportions in the profile. The graphic indicates that the profile points are 20, 20, 25, and 35 for each of the four weeks, respectively. To spread the monthly forecast of 500 units into weekly intervals, you multiply each proportion by the monthly forecast and divide by the sum of the profile points. So, (20/100) * 500 for the first two weeks, (25/100) * 500 for the third week, and (35/100) * 500 for the fourth week, which results in the weekly forecasts of 100, 100, 125, and 175, respectively.

ReferencesThe calculation uses basic arithmetic based on the principles of proportionally spreading a total quantity across a defined profile, as described in the Kinaxis RapidResponse demand planning documentation.

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.

To ensure that suppliers only receive reports relevant to their purchase orders, a profile variable tied to the supplier's user group is used to filter the report data. The Notify tab in the Alert properties window is used to configure the report distribution to the appropriate supplier's user group, ensuring that each supplier gets the tailored report.

References:

Kinaxis RapidResponse documentation on creating user groups, profile variables, and configuring alerts for report distribution.

Kinaxis training materials on workbook filter expressions and alert notification settings.

The code block IV is correctly using the script execution pattern in RapidResponse. It first gets the script usingrapidResponse.scripts.get()method with the correct parameters for the name and scope, and then calls the script with.call()method, passing the necessary scenario argument. This is how you would invoke another script from within a script.

ReferencesThe use ofrapidResponse.scripts.get()andcall()methods is standard practice in Kinaxis RapidResponse for executing one script from within another, as detailed in the Kinaxis RapidResponse scripting documentation.

The script is performing a data import operation into a worksheet that is configured to allow importing data for the purpose of inserting records, as shown in the worksheet properties exhibit. The JSON object in the console output would reflect the result of this import operation. The object details the number of records deleted, modified, and inserted. Since the worksheet is set up only to allow insertion, and the script is importing data for insertion, the "inserted" key would have a value of 1, and"deleted" and "modified" would have a value of 0, indicating a successful insert without any deletions or modifications.

ReferencesKinaxis RapidResponse documentation for data importing and console operations would support this behavior, outlining how the importData method interacts with worksheet configurations.

Referring to the graphic, it appears that there is a target allocation ratio between Supplier 1 and Supplier 2 (not visible in the image, but this can be inferred from the allocation quantities). When a new demand for 800 units is introduced, the SourceRule.AllotmentRule set to OnGoing will distribute the demand based on the ongoing target ratio. Since Supplier 1 has a running total that far exceeds Supplier 2, and both have a 'Multiple Qty' of 250, the next allotment will attempt to balance the ongoing total closer to the target ratio. It's likely that the new demand will be allocated by filling up to the nearest multiple of 250 that does not exceed the demand. Therefore, Supplier 1 gets 250, and the remaining 550 units would go to Supplier 2. Since Supplier 2 also must supply in multiples of 250, it rounds up to 750 units.

ReferencesThis understanding is derived from the Kinaxis RapidResponse concepts for managing supply allocations and the behavior of ongoing rules as described in the Kinaxis RapidResponse documentation.

References:

The Kinaxis RapidResponse documentation on SourceRule.AllotmentRule indicates that ongoing allotment is based on the target ratios set for suppliers1.

The Certified RapidResponse Author Level 3 materials cover the configuration and implications of SourceRule.AllotmentRule settings2.

To manage the demand forecast effectively while simplifying user controls, enabling hierarchy columns would allow users to make selections across different levels of the data hierarchy in one go. For instance, if a user wanted to select a particular product for a specific customer region and distribution site, they could do so without navigating through multiple filters. Additionally, having a hierarchy available for users to select regional distribution sites will allow them to filter data based on their particular region, which aligns with the management of demand forecast by customer region and distribution site. Disabling default filters that are not relevant to the users’ needs can also simplify the user experience but is not specifically mentioned in the given options.

ReferencesThe guidance is based on Kinaxis RapidResponse workbooks best practices, which suggest using hierarchies for filtering to simplify user experience and enable efficient data navigation, as documented in the RapidResponse Author Level 3 training resources.

References:

Kinaxis RapidResponse documentation highlights the importance of using hierarchies to simplify user controls and enhance data management within workbooks1.

The Certified RapidResponse Author Level 3 badge details the skills required to create and edit various types of complex workbooks, which includes managing hierarchies effectively2.

To identify an automation chain and its associated resources, searching for resources based on the specific table involved in the automation (in this case, "HistoricalPartKPI") will help you find the correct automation chain. This approach ensures that you identify all the resources related to that particular table, including automation chains.

ReferencesThe Kinaxis RapidResponse documentation for administrators provides guidance on how to search for and identify resources associated with specific tables or actions within the system, which includes searching for resources based on table names.

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.

The SalesForecast for the TV family is for 1000 units, as shown in the graphic. The MPSConfig planning BOM will generate a planned order equal to the SalesForecast quantity because there is no available supply. OptionRatio and QuantityPer indicatethe proportion of the forecast to be planned for each product type (LCD and Plasma), not the total quantity to be planned. Therefore, the planned order quantity will match the total forecasted demand, which is 1000 units.

ReferencesThis conclusion is drawn from the Master Production Schedule (MPS) and Bill of Materials (BOM) configuration rules within Kinaxis RapidResponse. When there is no supply to meet demand and forecasts are being translated into planned production, the full amount of the forecast typically becomes the planned order quantity.

To highlight differences between scenarios, a hidden column that calculates the difference (QuantityDelta) can be created. The actual Quantity column would show the actual value, while the QuantityDelta column would calculate the difference between the baseline scenario and the comparison scenario. Conditional formatting can then be applied to the Quantity column to highlight when the QuantityDelta is not equal to zero, indicating a difference between the scenarios.

ReferencesThe method for comparing scenario data and highlighting differences using conditional formatting is a common practice in Kinaxis RapidResponse, as outlined in the application's user guide and best practices for building worksheets.

Adding a dedicated input table with a single key reference to the Customer table and a field for the MostRecentOrderDate is the most memory-efficient approach. This design avoids adding additional fields to tables that may contain a large numberof records, which would increase memory usage. Instead, the MostRecentOrderDate is stored once per customer in a separate table, minimizing the memory footprint and optimizing query performance since only the relevant data is accessed.

References:

Kinaxis RapidResponse documentation on data modeling and performance optimization.

Best practices in database normalization and data model efficiency provided by Kinaxis.