Analytics-Con-201 Exam Dumps : Salesforce Certified CRM Analytics and Einstein Discovery Consultant

Bucket transformation in Recipes

Cluster transformation in Recipes

Detect Sentiment transformation in Recipes

Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".

Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as “editor” and one for sales dashboards and datasets with sales as "editor".

Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as “viewer". Add the datasets as references to both custom apps.

q= timeseries q generate 'sum_Sales' as ‘Forecasted_Sales' with (dateCols=(‘Date_Year’, ‘Date Quarter’, "Y-Q"), partition='Region', seasonality=4);

q = timeserles q generate 'sum_Sales’ as 'Forecasted_Sales’ with (length=12,dateCols=("Date_Year', ‘Date_Month', "Y-M"), partition='Region');

q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=(‘Date_Quarter’, 'Date_Month’, "Q-M"), partition='Region’, ignoreLast=true);