Question 1

Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?

Options :

A : Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width.

B : Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type.

C : Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device.

D : Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.

Answer: D

Question 2

The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app. How should the consultant fix the problem?

Options :

A : Develop separate dashboards and datasets and put them in the Manager-s app.

B : Apply data encryption using Salesforce Shield.

C : Create separate apps, datasets, and dashboards, and share them with the proper users.

Answer: C

Question 3

An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?

Options :

A : Show the customer how to export and review the R-Code model validation results

B : Check the p-values and standard deviation

C : Use the Share and Export feature to help the customer determine if the findings make logical sense

D : Consult with a Data Scientist to validate the findings

Answer: C

Question 4

The client is trying to create a SAQL step to predict sales in each sales region. They cannot get the query to return any results, but have identified that the error is in the time series statement. They have asked an Einstein Consultant to review the following query and fix any errors.

Which timeseries statement will fix the query'

Options :

A : q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);

B : q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');

C : q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);

D : q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');

Answer: B

Question 5

A company realizes it has a lot of rich information around its cases, but unfortunately, most of this isunstructured/textual data. Thecompany is exploring how to include some of this information in its case prioritization. Which option within CRM Analytics should a consultant leverage?

Options :

A : Bucket transformation in Recipes

B : Cluster transformation in Recipes

C : Detect Sentiment transformation in Recipes

Answer: C