QUESTION: 89

A consultant built an Einstein Analytics app for the Sales Operations team. The team wants to share this app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.

In the process of creating the template, which role does the original Einstein Analytics app for the Sales Operation team play?

It is the template.
It is the instance.
It is the master.
It is the target.

Answer(s): C

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QUESTION: 90

A company used Einstein Analytics to create two datasets:

1. "Opportunity With Account- dataset, which contains data from the Opportunity standard object augmented by the Account data.

2. "Case with Account" dataset. which contains data from the Case standard object augmented by the Account data.

The company wants to build a lens showing the total number of Opportunities and Cases per Account. How can a consultant help them build this lens'

Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.
Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.
Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.
Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.

Answer(s): D

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QUESTION: 91

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'

q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);
q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');
q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);
q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');

Answer(s): B

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QUESTION: 92

A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter shows numbers instead of names.

How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

flatten
compute Relative
compute Expression
append

Answer(s): C

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QUESTION: 89

QUESTION: 90

QUESTION: 91

QUESTION: 92

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