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Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Test - Questions Answers, Page 5

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What are the two types of bindings? Choose 2:
You can get data into Einstein Discovery:
A Tableau CRM consultant has created three recipes that each produce a dataset. Recipe1 creates Dataset1. Recipe2 created Dataset2. Recipe2 created Dataset3. Recipe3 is dependent on Dataset1, while Recipe1 and Recipe2 have no dependencies. How should the consultant implement the recipe schedule?
How many external files can be uploaded to Einstein Analytics on rolling 24 hour basis?
Number of queries per user per day
An Einstein Analytics team created a funnel chart to show the number of opportunities in each stage. The managers who use the chart report that the funnel shows stages in alphabetical order instead of sales cycle order. In which two ways can a consultant help them address this issue? Choose 2 answers
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to 'augment' the dataflow. Which phrase describes this transformation?
A customer displays a lot of data and wants a way to dynamically emphasize certain values on a bar chart in order to properly grab the user's attention. What can an Einstein Consultant use to accomplish this task?
A story has been deployed to the Opportunity object with a prediction field, Predicted Amount. How can all the Opportunity records be predictions written back to the Predicted Amount field?
A Tableau CRM consultant develops a dashboard called SalesPerformance_l in a sardbox environment. To deploy the recipe the consultant creates a package in workbench What is the correct meta data reference in the xml file?

Question 41

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A customer wants to change the default blue color on a bar chart. What is the easiest way to change blue to another color?

A.
Use conditional formatting under the bar chart widget properties by selecting the dimension.
A.
Use conditional formatting under the bar chart widget properties by selecting the dimension.
Answers
B.
Use conditional formatting under the bar chart widget properties by selecting the measure.
B.
Use conditional formatting under the bar chart widget properties by selecting the measure.
Answers
C.
Use bindings to specify a color per bar.
C.
Use bindings to specify a color per bar.
Answers
D.
Create a compare table formula to specify a hidden metric for coloring purposes.
D.
Create a compare table formula to specify a hidden metric for coloring purposes.
Answers
Suggested answer: B

Question 42

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The Einstein Analytics Plus Platform license is enabled for a Salesforce org and assigned to each user. However, these users cannot see the Einstein Analytics Studio in the App Launcher.

How can this issue be addressed?

A.
Share the app with the users in Einstein Analytics.
A.
Share the app with the users in Einstein Analytics.
Answers
B.
Create user accounts for the users in Einstein Analytics.
B.
Create user accounts for the users in Einstein Analytics.
Answers
C.
Assign the users to the permission set containing Use Analytics.
C.
Assign the users to the permission set containing Use Analytics.
Answers
D.
Assign the users to the permission set containing Manage Analytics.
D.
Assign the users to the permission set containing Manage Analytics.
Answers
Suggested answer: C

Question 43

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A company's Salesforce org has multi-currency enabled. This company's business intelligence team used Einstein Analytics to build a dataflow that creates a dataset, 'OpportunityDataSet'. This dataset is populated with data extracted from the standard object, Opportunity. One of the extracted fields is the standard field, Amount.

If a user explores the 'OpportunityDataSet' in Einstein Analytics, in which currency will the Amount values be shown?

A.
In the connected user's currency
A.
In the connected user's currency
Answers
B.
In the integration user's currency
B.
In the integration user's currency
Answers
C.
In the currency that is set on the 'currency' attribute in the dataset
C.
In the currency that is set on the 'currency' attribute in the dataset
Answers
D.
In the currency that is set on the 'currency' attribute in the dataflow
D.
In the currency that is set on the 'currency' attribute in the dataflow
Answers
Suggested answer: B

Explanation:

https://salesforce-trailblazer.com/einstein-analytics-multi-currency/

Question 44

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A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources- The consultant enabled data sync (replication) to increase the speed of data refreshing from these sources.

What is the maximum number of dataflow definitions available in this situation?

A.
45
A.
45
Answers
B.
35
B.
35
Answers
C.
25
C.
25
Answers
D.
30
D.
30
Answers
Suggested answer: D

Explanation:

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

Question 45

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A small Business Intelligence team is overwhelmed with multiple requests to create new dashboards. An option is to use layout templates to help with dashboard development.

What are two advantages of using layout templates? Choose 2 answers

A.
Layout templates are equipped with design best practice, such as optimally positioned KPIs and filters
A.
Layout templates are equipped with design best practice, such as optimally positioned KPIs and filters
Answers
B.
Layout templates are fast to create because they are fixed and read-only
B.
Layout templates are fast to create because they are fixed and read-only
Answers
C.
Layout templates offer a consistent end user experience
C.
Layout templates offer a consistent end user experience
Answers
D.
Layout templates offer a universal layout thus reducing the hours spent on design
D.
Layout templates offer a universal layout thus reducing the hours spent on design
Answers
Suggested answer: C, D

Question 46

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A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.

An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy.

The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner.

Given this information, how can an Einstein Consultant implement the above requirements?

A.
As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == '$User.UserRoleId' && 'Ownerld' == 'SUser.Id'.
A.
As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == '$User.UserRoleId' && 'Ownerld' == 'SUser.Id'.
Answers
B.
As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == '$User.UserRoleId' || 'Ownerld' == '$User.Id'.
B.
As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == '$User.UserRoleId' || 'Ownerld' == '$User.Id'.
Answers
C.
As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == '$User.UserRoleId' || 'Ownerld' == '$User.Id'.
C.
As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == '$User.UserRoleId' || 'Ownerld' == '$User.Id'.
Answers
D.
As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == '$User.UserRoleId' || TeamMember.Id' == '$User. Id' || 'Ownerld' == 'SUser.Id'.
D.
As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == '$User.UserRoleId' || TeamMember.Id' == '$User. Id' || 'Ownerld' == 'SUser.Id'.
Answers
Suggested answer: D

Question 47

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The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.

The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.

Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?

A.
Update
A.
Update
Answers
B.
Append
B.
Append
Answers
C.
Overwrite
C.
Overwrite
Answers
D.
Upsert
D.
Upsert
Answers
Suggested answer: C

Question 48

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What are two benefits of designing using the 'Progressive Disclosure' principle? Choose 2 answers

A.
improved ease of use for end users
A.
improved ease of use for end users
Answers
B.
Discounted EA licenses when growth is achieved
B.
Discounted EA licenses when growth is achieved
Answers
C.
Automatic conditional formatting
C.
Automatic conditional formatting
Answers
D.
Better dashboard performance
D.
Better dashboard performance
Answers
Suggested answer: A, D

Explanation:

https://developer.salesforce.com/blogs/developer-relations/2017/04/lightning-components-performance-best-practices.html

Question 49

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A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.

Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?

A.
This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
A.
This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
Answers
B.
Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
B.
Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
Answers
C.
Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
C.
Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
Answers
D.
Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
D.
Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
Answers
Suggested answer: D

Explanation:

https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2

Question 50

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A list widget is added to a dashboard with existing charts and tables. What must be true for the list widget to facet the dashboard charts and tables using widget properties?

A.
The list, chart, and table steps must share a common name.
A.
The list, chart, and table steps must share a common name.
Answers
B.
The list, chart, and table steps must share common dimensions from different datasets.
B.
The list, chart, and table steps must share common dimensions from different datasets.
Answers
C.
The list, chart, and table steps must share the same dataset.
C.
The list, chart, and table steps must share the same dataset.
Answers
D.
Chart and table steps must have their own list widgets.
D.
Chart and table steps must have their own list widgets.
Answers
Suggested answer: C
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