Free Kinaxis KX3-003 Practice Exam with Questions & Answers

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.

Line A withcmdDeleteData.execute();would execute a command to delete data in RapidResponse, which, if configured correctly, would delete records. Line C withwsOrderChng.remove(dataArray);is a method that would also potentially delete records from the worksheet if the dataArray contains the correct keys for the records that need to be removed.

ReferencesThe Kinaxis RapidResponse scripting and workbook API documentation explain the methodsexecute()for running commands andremove()for removing data from worksheets. Both can be used to delete records when executed with the proper context and data.

The AvailableRule control table is used to define how available dates for supply and demand are calculated in Kinaxis RapidResponse. This includes the rules for when supplies are considered available for meeting demand and vice versa, such as lead times, transit times, and other considerations that might affect when a part can realistically be expected to be available.

ReferencesThe function of the AvailableRule control table and its impact on the calculation of available dates for supplies and demands is outlined in Kinaxis RapidResponse configuration settings for supply chain planning processes.

Matching the sort order and direction in both component worksheets before creating a composite worksheet can improve performance. This alignment ensures that the composite worksheet does not have to re-sort the data from each component worksheet, which can be computationally expensive, especially for large datasets.

ReferencesThe recommendation to match sort orders and directions for performance optimization in composite worksheets is in line with best practices for data management in Kinaxis RapidResponse, which can be found in the training and documentation materials.

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.

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.

A. The DeliveryRoutes being a Set data type indicates that there can be multiple Delivery Routes referencing a carrier, allowing for one-to-many relationships between a carrier and delivery routes.

C. The Shipments being a Set data type as well indicates that multiple shipments can reference a single carrier, also suggesting a one-to-many relationship.

D. The DefaultTransportationMode being a Reference data type allows for the possibility that several carriers can share the same transportation mode, as references do not enforce uniqueness.

B is not correct because the TransitCalendar being a Reference data type indicates a one-to-one relationship; each carrier can reference only one Transit Calendar. E is also incorrect because the Sources field being a Set data type implies that a carrier can be associated with multiple sources.

References:

• Kinaxis RapidResponse documentation on data modeling and table relationships.
• Kinaxis learning resources on understanding data types and their implications on table relationships.

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 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.

Given the order policies of MultipleQty: 10, MinimumQty: 15, MultipleUsage: Use, and MinimumUsage: Use, the sizes of the planned orders are determined by rounding up to meet the minimum quantity and then to the nearest multiple of the MultipleQty. Order A needs to meet the demand of 25, so it must at least meet the MinimumQty of 15 and then round up to the nearest multiple of 10, which is 30. Order B, with a demand of 12, will also round up to the minimum quantity of 15 and then to the nearest multiple of 10, which is 20, since the MultipleUsage is "Use." The same logic applies to order C, with an initial demand of 20, it is already at a multiple of 10, so it remains 20.

ReferencesThis answer applies the principles of order quantity rounding based on multiples and minimums as commonly used in supply chain planning and as described in Kinaxis RapidResponse's order policy settings.

References:

• The Kinaxis RapidResponse documentation and training materials provide guidelines on how to apply order policies to determine the sizes of planned orders123.