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Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Test - Questions Answers, Page 10

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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'

A.
q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', 'Y-Q'), partition=Region', ignoreLast=true);
A.
q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', 'Y-Q'), partition=Region', ignoreLast=true);
Answers
B.
q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month'. 'Y-M'), partition='Region');
B.
q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month'. 'Y-M'), partition='Region');
Answers
C.
q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', 'Y-Q'), partition='Region', seasonality=4);
C.
q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', 'Y-Q'), partition='Region', seasonality=4);
Answers
D.
q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', 'Y-Q'), partition='Region');
D.
q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', 'Y-Q'), partition='Region');
Answers
Suggested answer: B

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?

A.
flatten
A.
flatten
Answers
B.
compute Relative
B.
compute Relative
Answers
C.
compute Expression
C.
compute Expression
Answers
D.
append
D.
append
Answers
Suggested answer: C

The Universal Containers company built three Einstein Discovery stories that they want to use in Salesforce to predict and maximize their revenue per customer. The stories are for every region where they have business: EMEA, AMER, and APAC.

How can a consultant help them deploy the three Einstein models to Salesforce?

A.
Segment the account data per region and deploy the same model to all segments.
A.
Segment the account data per region and deploy the same model to all segments.
Answers
B.
Deploy the same model to all accounts and set the region field as an actionable variable.
B.
Deploy the same model to all accounts and set the region field as an actionable variable.
Answers
C.
Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.
C.
Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.
Answers
D.
Segment the account data per region and deploy the appropriate model for each segment.
D.
Segment the account data per region and deploy the appropriate model for each segment.
Answers
Suggested answer: D

Explanation:

https://help.salesforce.com/articleView?id=bi_edd_model_deploy_filter.htm&type=5

Which three parameters are used in a compare table formula field to calculate and display a field as percentage value? Choose 3 answers

A.
Calculation
A.
Calculation
Answers
B.
Column Color
B.
Column Color
Answers
C.
Format
C.
Format
Answers
D.
Length
D.
Length
Answers
E.
Column Name
E.
Column Name
Answers
Suggested answer: A, C, E

A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?

A.
digest transformation
A.
digest transformation
Answers
B.
flatten transformation
B.
flatten transformation
Answers
C.
delta transformation
C.
delta transformation
Answers
D.
sfdcDigest transformation
D.
sfdcDigest transformation
Answers
Suggested answer: B

An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fields does not return values when it is queried.

What can be the origin of this issue?

A.
The field does not contain any data in Salesforce.
A.
The field does not contain any data in Salesforce.
Answers
B.
The user who runs the dataflow does not have access to the field.
B.
The user who runs the dataflow does not have access to the field.
Answers
C.
The 'Integration User Profile' does not have access to the field.
C.
The 'Integration User Profile' does not have access to the field.
Answers
D.
The ''Security User Profile' does not have access to the field.
D.
The ''Security User Profile' does not have access to the field.
Answers
Suggested answer: A

The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.

How can an Einstein Consultant address this need?

A.
Create one application for each department and use roles to share applications.
A.
Create one application for each department and use roles to share applications.
Answers
B.
Create one application for each department, put common datasets in the shared app, and use profiles to share applications.
B.
Create one application for each department, put common datasets in the shared app, and use profiles to share applications.
Answers
C.
Create one application for each department, put common datasets in the shared app, and use roles to share applications.
C.
Create one application for each department, put common datasets in the shared app, and use roles to share applications.
Answers
D.
Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.
D.
Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.
Answers
Suggested answer: C

A new field called 'CardBalance' is added to the standard object. Account. The team wants to add this new field to an Einstein Analytics dataset that sources the Account object; however, the team needs to limit the users who are able to view that field's data in the dataset.

How can an Einstein Consultant help them implement this new requirement?

A.
Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.
A.
Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.
Answers
B.
Add the new field to the existing dataset and activate 'Sharing inheritance' in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.
B.
Add the new field to the existing dataset and activate 'Sharing inheritance' in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.
Answers
C.
Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.
C.
Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.
Answers
D.
Add the new field to the existing dataset and use 'Security Predicates' to hide it from users who should not access it.
D.
Add the new field to the existing dataset and use 'Security Predicates' to hide it from users who should not access it.
Answers
Suggested answer: C

When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

A.
No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
A.
No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
Answers
B.
No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
B.
No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
Answers
C.
yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
C.
yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
Answers
D.
Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
D.
Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
Answers
Suggested answer: B

As part of their analysis, Yasmine, Tonya, and Hadiqa need to create and save lenses to their project app. What is the minimum app role they need to do this?

A.
Manager
A.
Manager
Answers
B.
Viewer
B.
Viewer
Answers
C.
Editor
C.
Editor
Answers
D.
Designer
D.
Designer
Answers
Suggested answer: C

Explanation:

Save changes to existing dashboards, lenses, and datasets in the app (saving dashboards requires the appropriate permission set license and permission) available in Editor and Manager*##**##*

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