Sure Pass Exam Tableau-CRM-and-Einstein-Discovery-Consultant PDF

The correct timeseries statement to fix the SAQL query for predicting sales in each sales region is:

• C: q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date_Quarter', "Y-Q"), partition='Region', seasonality=4). This statement correctly specifies the required parameters for a timeseries analysis, including the date columns, the partition by 'Region', and the seasonality factor, which is crucial for accurate forecasting in time series analysis.

The Chi-square test in statistics is used to identify whether there is a significant association between categorical variables. It is especially useful in scenarios like in Tableau CRM where one might want to determine if the differences between observed and expected frequencies in one or more categories are just random variations or are statistically significant. This test helps in identifying categories that exhibit a pattern that deviates from the overall average, making it a valuable tool for data analysis in categorical data sets. Reference: &type=5

The configuration wizard in Salesforce Tableau CRM Einstein Discovery asks questions about various measurements that are critical for understanding and analyzing customer interactions and service effectiveness, which include:

• A: Case duration
• B: Customer geography
• C: Customer satisfaction
• D: Case resolution
• E: All of the above