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NEW QUESTION # 16
At a customer site, there are multiple TimePhasedSafety records that are duplicated in the Baseline scenario.
This is caused by the cross-scenario update from a child scenario.
What are two Kinaxis best practices for cross-scenario updates to prevent this situation? (Choose two.) Choose 2 answers
Answer: B,D
Explanation:
To prevent duplication of TimePhasedSafety records in cross-scenario updates:
* Statement A:Including all key and reference fields in the update is a best practice. This ensures that the database can accurately match records across scenarios, reducing the risk of duplications.
* Statement C:Listing identifying fields ahead of other columns in the update process helps in prioritizing these fields during the matching process, enhancing the accuracy of record linkage and minimizing duplication errors.
References
* Kinaxis RapidResponse documentation and best practices on Automation Chains and Scheduled Tasks.
References:The search did not yield specific documentation on best practices for cross-scenario updates in Kinaxis RapidResponse. However, these answers are aligned with general best practices for database management and updates to prevent duplication and ensure data integrity.
NEW QUESTION # 17 
You 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?
Answer: A
Explanation:
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.
NEW QUESTION # 18 
The graphic shows the Carrier table view in the data model dialog.
Which three statements about this table are true? (Choose three.)
Choose 3 answers
Answer: B,C,E
Explanation:
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.
NEW QUESTION # 19 
Forecasts 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?
Answer: C
Explanation:
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.
NEW QUESTION # 20
You need to create a new custom field to be used for record filtering that will be populated with the salesperson's name. Each order will have a single associated salesperson's name.
Following database design principles and Kinaxis best practices, which action accomplishes this task?
Answer: D
Explanation:
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.
NEW QUESTION # 21
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