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Title: Aug 09, 2024 PASS Kinaxis KX3-003 EXAM WITH UPDATED DUMPS [Q26-Q46]

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 Aug 09, 2024 PASS Kinaxis KX3-003 EXAM WITH UPDATED DUMPS
KX3-003 Questions PDF [2024] Use Valid New dump to Clear Exam


QUESTION 26You have a new demand for 800 units of a product. SourceRule.AllotmentRule for this part is set to OnGoing.Referring to the graphic, which planned order results will be created to satisfy this demand?
 Supplier1: quantity 250Supplier2: quantity 750
 Supplier1: quantity 750Supplier2: quantity 250
 Supplier1: quantity 1000
 Supplier2: quantity 1000
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’ of250, 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.QUESTION 27You have a hierarchy called PartFamily that is based on the PartCustomer table. There is a second hierarchy in use, also based on the PartCustomer table called PartPlanner. When the PartFamily hierarchy is used, performance is noticeably worse than when the PartPlanner hierarchy is used.In this situation, which design issue would contribute most to poor performance?
 A level in the PartFamily hierarchy uses the Part.Solutions::PartClass.Value expression.
 A level in the PartFamily hierarchy uses the Part.ProductFamily.Value expression.
 A level in the PartFamily hierarchy uses the expression Part.AGCP::NameAndDescription.NameAndDescription is a calculated field in the AGCP namespace. The calculation is Name + ” (” + Description + “)”.
 A level in the PartFamily hierarchy uses the Part.Name + ” (” + Part.Description +”)” expression.
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.QUESTION 28A part has several demands due in a particular week. All demands are the same priority. Available supplies are shown in the graphic. The control table settings for the OrderPriority.AllocationRule is FairShare and PlanningCalendars.AllocationCalendar is Week.How much of the supply quantity on Thursday will be allocated to the Wednesday demand?
 20
 25
 30
 40
Given that the control table setting for OrderPriority.AllocationRule is FairShare and all demands are the same priority, the available supply quantity will be allocated evenly among the demands. The graphic shows there are demands due on Monday, Tuesday, and Wednesday with planned orders due on each day as well. If the total supply on Thursday is not specified in the question, we assume it is enough to meet or exceed the demand. Since all demands have the same priority and the allocation rule is FairShare, the entire supply quantity for Thursday will be evenly distributed. Without the exact supply quantity, the best assumption is that the full quantity needed for the demand due on Wednesday will be allocated.ReferencesThis explanation is based on the FairShare allocation rule which distributes available supply evenly across all demands when they have the same priority, as per the Kinaxis RapidResponse documentation on supply allocation.QUESTION 29You are asked to create a workbook that identifies the change in IndependentDemandAvailableDate in workdays from a child scenario to its parent.Which worksheet properties shown in the graphic identifies the correct configuration and expression?
 I
 II
 III
 IV
The worksheet properties shown in the graphic indicate how to calculate the change in theAvailableDateof IndependentDemandbetween a child and its parent scenario. Configuration II shows the expression[:AvailableDate#0 – :AvailableDate#1 Workday], where#0refers to the child scenario and#1refers to the parent scenario. This expression calculates the difference in workdays between theAvailableDateof the independent demand in the child scenario and the parent scenario.The worksheet should be set to calculate using the final results from other columns, ensuring that it takes into consideration the latest available data from the child and parent scenarios for accurate calculation of the workday difference.References:* Kinaxis RapidResponse documentation on worksheet expressions and scenario comparison.* Kinaxis training materials on configuring worksheets for scenario analysis.QUESTION 30A part has demands on 06-01, 06-04, and 06-05 as shown in the exhibit. The part source has this configuration:* OrderGenerationRule = ‘AfterPTF’* LeadTime = 2 days* PTFRule = Lead* PlanningTimeFence = 2Referring to the graphic, which table shows the resulting planned orders?
 I
 II
 III
 IV
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.QUESTION 31You are asked to create a worksheet that shows which process orchestration activity performers are late and how much they are late for each activity. There could be more than one performer per activity.How would you accomplish this task?
 Create a worksheet based on the Assignment table in the ProcOrch namespace.
 Create a worksheet based on the Activity table in the ProcOrch namespace.
 Create a worksheet based on the ProcessInstance table in the Mfg namespace.
 Create a worksheet on the Activity table in the Mfg namespace.
To track which performers are late and by how much for each activity in a process orchestration scenario, you need to access data that includes information on activity assignments, due dates, and completion status. The Assignment table within the ProcOrch (Process Orchestration) namespace contains this data. You can use this table to identify the performers assigned to each activity, check the planned completion dates against actual completion dates, and calculate the delays.By creating a worksheet based on the Assignment table, you can include columns for activity IDs, performer IDs, due dates, completion dates, and a calculated field for the delay. The delay can be calculated by comparing the due date with the completion date or the current date if the activity is not yet completed. If there is more than one performer per activity, each performer’s assignment will be a separate record in the Assignment table, allowing the worksheet to show delays for each performer.References:* Kinaxis RapidResponse documentation on creating worksheets based on specific tables.* Training and knowledge resources provided by Kinaxis on how to use and configure worksheets in RapidResponse for process orchestration scenarios.QUESTION 32You want to create a workbook command that will modify the existing records on the worksheet shown in the graphic. You want the records to copy the date value in New Due Date to the DueDate field in each record.What should you change in the worksheet to create the modify command?
 Make the Due Date column not editable.
 Switch the order of the Due Date and New Due Date columns.
 Remove the Control Set column from the worksheet.
 Make the Order column a reference to the Order and delete the Order Site, Order Type, Control Set, and Line columns.
To create a modify command that updates the DueDate field with the New Due Date, it’s essential to simplify the worksheet. Making the Order column a reference and removing unnecessary columns like Order Site, Order Type, Control Set, and Line ensures that the modify command focuses on the relevant data for the update.References:The search did not yield specific documentation on creating modify commands in Kinaxis RapidResponse.However, the answer aligns with general best practices for simplifying data management tasks123.QUESTION 33You have a crosstab, bucketed worksheet that shows forecast records. There are forecast records on the first workday of every month for 18 months from the Planning Date. The bucket settings are set for 52 Weeks from the Planning Date. You want to improve performance for this worksheet, but still display it as a crosstab worksheet. You also want to display one year’s worth of forecast records.How would you accomplish this task?
 Change the bucket settings to display 365 Everyday from the Planning Date.
 Turn off the bucket settings for this worksheet and add an expression to filter out records that are beyond the one year horizon.
 Turn off grouping settings for this worksheet and add an expression to filter out records that are beyond the one year horizon.
 Change the bucket settings to display 18 Months from the Planning Date and add an expression to filter out records that are beyond the one year horizon.
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.QUESTION 34You are creating a new script that must insert a new customer record, archive that record weekly in a new scenario, and then commit the child scenario to a parent scenario. You already have a script that commits child scenarios.Referring to the graphic, which code will call the script that commits child scenarios in your new script?
 I
 II
 III
 IV
The code block IV is correctly using the script execution pattern in RapidResponse. It first gets the script using rapidResponse.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.QUESTION 35A client wants to provide their sales staff the ability to add forecasts for the global total of demand across all SKUs by each customer by month. The client wants to use their historical demand to allocate from a monthly forecast to a weekly forecast.Which three actions would accomplish this task? (Choose three.)Choose 3 answers
 Create a worksheet based on the HistoricalDemandActual table.
 Create workbook variables for Start Date and End Date.
 Create a workbook variable for Calendar with a value of Month.
 Define a custom Insert Definition.
 Include only columns for Part, Site, and Customer from the HistoricalDemandActual table.
For the sales staff to add forecasts, they need a framework that allows them to inputdata within a specified range (hence Start Date and End Date variables). A Calendar workbook variable set to ‘Month’ will align the input with the monthly granularity required. A custom Insert Definition is needed to facilitate the input of new forecast data. Including only the necessary columns would streamline the process, but it does not directly contribute to enabling the forecast addition as required by the client, hence why E is not a correct choice here.References:* Kinaxis RapidResponse documentation on setting up worksheets for forecast entry.* Kinaxis learning resources on workbook variables and custom insert definitions.QUESTION 36var dataArray = [[line, orderNo, site, orderType, partName, site, dueDate, quantity]]; var dataSettings = {scenarios: [scenario], filter: fAllParts, siteGroup: sgSite} var wbOrderChng = rapidResponse.workbooks.get({name:’Change Orders’, scope:’Private’}, dataSettings); var cmdDeleteData= wbOrderChng.commands.get(‘DeleteData’); var wsOrderChng = wbOrderChng.worksheets.get(‘ChangeOrders’) Which two lines of code would potentially delete records in a table if they appeared after the code shown in the exhibit? (Choose two.) Choose 2 answers
 var executeResult = cmdDeleteData.execute();
 var removeResult = wbOrderChng.remove(wsOrderChng.getData());
 var removeResult = wsOrderChng.remove(dataArray);
 var importResult = wsOrderChng.importData(dataArray);
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 methods execute()for running commands andremove()for removing data from worksheets. Both can be used to delete records when executed with the proper context and data.QUESTION 37Given the following order policies:* MultipleQty: 10* MinimumQty: 15* MultipleUsage: Use* MinimumUsage: UseReferring to the graphic, what are the sizes of the three planned orders A, B, and C?
 A = 30, B = 20, C = 20
 A = 30, B = 15, C = 15
 A = 30, B = 15, C = 10
 A = 25, B = 15, C = 15
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 of12, 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.QUESTION 38You want to define a custom data structure connecting BuyerCode to additional information: Manager, Department, and Floor. A manager might be responsible for more than one department. You expect that users will want to filter this information on combinations of each of those data elements.Referring to the graphic, which data model structure should you use?
 I
 II
 III
 IV
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.QUESTION 39You want to track the date of the most recent order placed by each Customer. You also want to make the most efficient use of memory, and query and algorithm performance.Considering Kinaxis best practices, which data model design would you use?
 Add an input field, DateOrdered, to IndependentDemand and use a set operation from Customer to Order to IndependentDemand to find the maximum DateOrdered.
 Add an input field, MostRecentOrderDate, to the Customer table.
 Add an input field, MostRecentOrderDate, to the PartCustomer table.
 Add an input table with a single key reference to Customer, containing a MostRecentOrderDate.
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.QUESTION 40You are creating an insert definition to insert records using a crosstab worksheet, which contains weekly buckets that begin on Monday. You want the inserted records to be due on Friday of that week but if Friday is a non-workday, you want the inserted record to be due on Thursday.In this situation, how would you set the bucket date in the insert definition?
 Use the first date in the bucket.
 Use the first date in the bucket adjusted by three workdays.
 Use the last workday in the bucket.
 Use the MRPDate.
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.QUESTION 41Forecasts are being received on a monthly basis and you are asked to spread these forecasts into weekly intervals. The month has four weeks, and you are using the spreading profile shown in the graphic where the first week is on the left. The monthly forecast is for a quantity of 500. The PlanningCalendars.ForecastCalendar=Month and PlanningCalendars.SecondCalendar=Week.Referring to the graphic, what will the weekly forecast quantities be?
 100, 100, 125, 175
 100, 100, 135, 165
 100, 100, 140, 160
 125, 125, 125, 125
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.QUESTION 42You have a report based on an InventoryTransfer table. Due to currency fluctuation, you are asked to report the difference between the future EffectiveUnitTransferCost and the cost to transfer it today.Which expression will accomplish this task?
 EffectiveUnitTransferCost – (CONVERTONDATE(TransferCost, ShipDate) / Quantity)
 CONVERTONDATE(EffectiveUnitTransferCost, today) – (TransferCost / Quantity)
 EffectiveUnitTransferCost – (TransferCost / Quantity)
 EffectiveUnitTransferCost – (CONVERTONDATE(TransferCost, today) / Quantity)
The expression that calculates the difference between the future EffectiveUnitTransferCost and the cost to transfer today would take the future cost and subtract the current cost converted to today’s date, considering the transfer quantity. The CONVERTONDATE function is used to convert the historical TransferCost to its value as of today, and then this value is divided by Quantity to get the unit cost as of today. This unit cost is then subtracted from the EffectiveUnitTransferCost to find the difference.ReferencesThis uses the CONVERTONDATE function in Kinaxis RapidResponse, which is designed to adjust historical cost figures to their equivalent value on a different date, accounting for factors such as currency fluctuation, as outlined in the Kinaxis formula and functions documentation.QUESTION 43A user wants to build a crosstab worksheet that shows historical data in daily buckets for the last two years.Currently, historical data is stored in days.What are two ways to accomplish this task? (Choose two.)Choose 2 answers
 Enable the Bucket data by date checkbox, then select Day in the Bucket Size and 730 (365*2) in the Number of Buckets.
 Enable Advanced Bucketing, select Day in the Bucket Size and 365 in the Number of Buckets, and then adjust the Anchor date by 1 Year.
 Create calendar interval, start date, and end date variables using the CalendarDate table, and then reference these variables in the worksheet that displays historical data.
 Clear the Bucket data by date checkbox and then filter the worksheet for the last 2 years as Date >= MRPDate – 730 and Date <= MRPDate
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.QUESTION 44Given this information and referring to the graphic:* Number of Days of Supply: 2* DaysSupplyRule: ByPeriod* PeriodSupplyInterval: Week* PeriodSupplyDueCalendar: WeekWhich statement about the planned order(s) that are created is true?
 Two planned orders will be created; one due on day 1 (first Monday) for a quantity of 80 and another on day 6 (second Monday) for a quantity of 75.
 Two planned orders will be created; one due on day 2 (first Tuesday) for a quantity of 80 and another on day 6 (second Monday) for a quantity of 75.
 A single planned order will be created due on day 2 (first Tuesday) for a quantity of 155.
 A single planned order will be created due on day 1 (first Monday) for a quantity of 155.
The DaysSupplyRule set to ByPeriod with a PeriodSupplyInterval of a Week means that the planned orders will be generated to cover demands within each supply interval (week) separately. For the first week, the total demand is 25+15+30=70, but the order quantity is rounded up to the nearest multiple of the Days of Supply number, which is 2. Therefore, the order quantity is 80. For the second week, the demand is 40+20+15=75, which matches the Days of Supply number, hence no rounding is needed, and the order quantity is 75.ReferencesThis answer is based on the Kinaxis RapidResponse concepts for demand and supply planning where Days of Supply calculations determine the size and timing of planned orders, considering the rules set for supply intervals and calendars.QUESTION 45After the most recent planning cycle, a planner asks you why there were no new records in the HistoricalPartKPI table. They expected these records to be written as part of a scheduled automation chain.You must determine if the automation chain has been disabled, but you are not familiar with which automation chain should perform this action. As the first step in identifying the automation chain, you need to search for any of its associated resources.In this situation, which process would guarantee that you have the correct associated resources of the automation chain?
 From Tools > Search Resources: search for resources based on the table “HistoricalPartKPI”.
 From Tools > Search Resources: search for resources containing the text “HistoricalPartKPI”.
 From Administration > Automation Log: search for “HistoricalPartKPI” in Automation Task Log.
 From Administration > Administration Log: search for “HistoricalPartKPI” in Input Records and Scenarios.
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.QUESTION 46You are asked to improve the performance of a worksheet based on the WhereConsumedForDemand table.You notice there is no filter control selected.Which type of filter will improve performance?
 a filter based on the Part table
 a filter based on the IndependentDemand table
 a filter based on the SupplyDemand table
 a filter based on the Demand table
A filter based on the IndependentDemand table would improve the performance of a worksheet based on the WhereConsumedForDemand table, assuming that the demand is what drives the consumption. By filtering on IndependentDemand, you reduce the number of records the worksheet needs to process, thus improving load times and responsiveness, especially if there are a large number of records in the WhereConsumedForDemand table.ReferencesThe Kinaxis RapidResponse documentation suggests that filtering based on driving factors such as demand can significantly enhance performance by narrowing down the data set to the most relevant records. Loading …






	
	

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