Welcome to your Sales and Demand Forecasting. Keep in mind that you have only 2 attempts! All topics in certification are available in our knowledge base Name: Email: 1. iERP Demand forecasting module is providing to customersSales forecasting onlyInventory purchase and manufacturing quantity recommendationsSales business intelligenceFeatures like new product forecasting or market intelligenceAll of the above 2. Demand forecasting is considering during machine learning external indicators like GDP, Unemployment, CPI, and more.TrueFalse 3. Users can define their historical and future internal indicators like strikes, holidays, promotions, and similar.TrueFalse 4. When you are defining algorithm parameters and you select ‘Month’ on Demand forecasting as ‘Units of time for Training’ on Algorithm tab thenSales data for training will be consolidated per customer, product and per monthOnly last month data of sales data will be considered for algorithm trainingSystem will use daily data for algorithm training 5. iERP forecasting engine is supporting forecast for following units of time defined on 'Algorithm' tabMinutes, hours, daysDays, weeks, monthsWeeks, months and years 6. Is iERP Demand forecasting supporting selection of decimal rounding on forecasting data at 'Algorithm' tab?YesNo 7. Can users specify how far ahead they want to generate forecast for on 'Algorithm' tab selection?No, it is fixed to 5 monthsYes, without any limitation on forecast lengthYes, for period of 9 months 8. Can user change parameters of algorithm (time forecasting, length, etc.) once you move from algorithm selection to training screen?NoYes 9. How many data files can user upload on Demand forecasting Trainer Sources?1369 10. Indicator input files usually contains following data:Only history events like breakdowns, holidays, promotions only.History and also future events like holidays, promotions, breakdowns, or economic indicators.Weather data only. 11. Columns tab in demand forecasting 'Training' section is used to:Training executionValidation of data load to the systemAPI setup 12. Is possible to print PDF report with data validation and potential errors on Trainer Columns screen?YesNo 13. If error is found in the data on Trainer Columns screen, user can correct errors by:Uploading new file on Trainer sources screen.Correcting data in CSV file and then click on Reload and validate buttonYou have to create new project 14. Data tab on 'Trainer' screen is used to:Review loaded dataReview basic sales business intelligence tabsReload data in case user finds any error in the dataAll of the above 15. Does user need to adjust any configuration before machine learning execution on Trainer tab in 'Training'?Yes, there are many setup parametersNo, algorithm training is straightforward and one button click process 16. How many machine learning algorithms is iERP Studio using for sales and demand forecasting?550100+ 17. Machine learning training can occupy 100% CPU while performing training of algorithms:FalseTrue 18. Algorithm training duration is dependent on:Dataset sizeHardware configurationAll of the above 19. Sources tab in 'Forecaster' section is used for:Upload the most recent data to be used for most accurate predictions based on already trained modelMachine learning trainingReview forecasting results 20. Visualisation on Data tab on ‘Forecaster’ section isExactly the same business intelligence as on Data tab on ‘Trainer’ screenAdvance business intelligence for users to get instant overview of sales in all locations 21. Visualisation on Data tab on Forecaster section consist of BI data displaying:Overview of sales this week, this month, this quarter and this year and comparison to previous period.All locations sale and specific location sales data.All products sale and specific product sales data.All customer sale and specific customers sales data.All of the above. 22. Forecasting results can be reviewed:With assisted forecasting as visual chart at studio.As manual entry in studio.Exported as CSV.Integrated with API.All of the above. 23. Assisted forecasting visual chart can be reviewed for:One product and location at the time.As many products and locations as user want. 24. How many different forecast types is displaying visual chart of assisted forecasting?One, predicted sales forecast.Two, predicted sales forecast and realistic forecast on committed purchase orders or manufacturing jobs.Three, predicted sales forecast, realistic forecast on committed purchase orders or manufacturing jobs, and user adjusted forecast based on market intelligence. 25. CSV export of forecast can be filtered by Location or ProductTrueFalse 26. CSV export forecast is listing predictions of all combinations of products and locationsTrueFalse 27. iERP Studio is providing along with sales forecast information about excess or low inventory level quantity based on inventory file and more inventory related information:TrueFalse 28. iERP studio has its own API engine which can be integrated to any of open architecture systemsTrueFalse 29. Demand forecasting market intelligence functionality allows users to:Manually adjust forecast for upcoming periods as plus or minus percentageReview prices on stock exchangeReview crypto market status 30. Demand forecasting product like functionality allows users to:Like and share with other users their favourite products.Group products based on like preferences.Assign history sales of existing product to the new product so system can generate forecast for newly introduced products. Time is Up!