Tableau-CRM-Einstein-Discovery-Consultant PDF Pass Leader, Tableau-CRM-Einstein-Discovery-Consultant Latest Real Test [Q103-Q121]

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Tableau-CRM-Einstein-Discovery-Consultant PDF Pass Leader, Tableau-CRM-Einstein-Discovery-Consultant Latest Real Test

Valid Tableau-CRM-Einstein-Discovery-Consultant Test Answers & Tableau-CRM-Einstein-Discovery-Consultant Exam PDF

To prepare for the Salesforce Tableau CRM Einstein Discovery Consultant exam, candidates should have experience using the Tableau CRM Einstein Discovery platform. This includes knowledge of data modeling, data preparation, and data analysis techniques. Candidates should also be familiar with statistical concepts and machine learning algorithms, as well as how to use the Tableau CRM Einstein Discovery platform to build predictive models.

NEW QUESTION 103
Default rows in values table

100

200

NEW QUESTION 104
Insights in a story show you how different variables and combinations of variables explain the variation of what kind of variable?

Explanatory variable

Outcome variable

Global variable

Local variable

Tertiary variable

When you configure the story, you tell Einstein Discovery to maximize/minimize the variable. The variable is ‘outcome variable’ in your story

NEW QUESTION 105
What can changing an answer to a wizard question do?

Alter your Service Cloud implementation

Fine-tune dashboards to reflect how your company measures key indicators

Create a new set of dashboards with new KPIs

Use up one of the three wishes granted you by the wizard

NEW QUESTION 106
A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.
Which two design considerations should be determined at this time? Choose 2 answers

Which fonts to use for headers and body text

Which charts to use to best support the defined goal

How many charts should be allowed on a single dashboard

Which colors to use and how to use them

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

NEW QUESTION 107
A company wants to allow users who belong to an account team to see all the Opportunities associated with that Account in Einstein Analytics.
Which two actions accomplish this requirement? Choose 2 answers

Apply sharing inheritance.

Create a master-detail relationship between the Salesforce Account and Opportunity objects.

In the dataflow, extract the AccountTeamMember object and augment it with the Opportunity object using ‘Accountld’ as the join field and apply following security predicate: ‘AccountTeamMember.Userld’ == “$User.Id”.

In the dataflow, extract the OpportunityTeamMember object and augment it with the Opportunity object using ‘Opportunityld’ as the join field and apply the following security predicate: ‘OpportunityTeamMember.Userld’ == “$User.Id”.

NEW QUESTION 108
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?

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.

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.

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.

Add the new field to the existing dataset and use “Security Predicates’ to hide it from users who should not access it.

NEW QUESTION 109
What does a configuration wizard do?

Automatically creates multiple versions of the same app

Lets you know the best way to set up your Salesforce data

Asks you questions about how you store data in your org to help you create your app

Customizes your template based on Salesforce settings

https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_in_action

NEW QUESTION 110
Universal Containers has a dashboard for Sales Managers to visualize the YoY Growth of their customers- The formula used is: YoY = [(This Year – Last Year) / Last Year] % Based on the graphic, when there is no account in the Last Year column, the YoY Growth shows null results. The Sales Managers want to replace it with 100% value.
What is the correct function to use?

replace()

number_to_string()

coalesce()

substr()

NEW QUESTION 111
Exhibit:

Universal Containers has a Sales Manager dashboard. They need to build a table as shown in the graphic and calculate the summary as the first line in a compare table.
How can the summary be calculated’

Use the Show Summary option in the compare table.

Add a formula field to calculate the summary.

Use a SAQL query since the summary is not available in standard interface.

Create a computeExpression field in the Dataflow to calculate the summary.

NEW QUESTION 112
An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?

Add a text widget to the dashboard to indicate Fahrenheit or Celsius.

Use the XMD node in the dataflow to customize the number format of the field.

Customize the number format in the number widget properties of the dashboard.

In Explorer, go to the Fields menu and then customize the number format of the measure.

NEW QUESTION 113
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?

Segment the account data per region and deploy the same model to all segments.

Deploy the same model to all accounts and set the region field as an actionable variable.

Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.

Segment the account data per region and deploy the appropriate model for each segment.

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

NEW QUESTION 114
Which of the following are included in the template object?

ui.json

app.json

variables.json

A,B and C

A,C

* template-info.json manages all elements of your template, including metadata information about the template, the Analytics objects that define dashboards and lenses, and the other files that are part of the template. * ui.json manages the configuration wizard that drives app creation. It defines the number of wizard pages, the order of wizard questions, and any messages you want the user to see. * variables.json contains all template variables, including text for wizard questions and specifications for the answers. Variables also define conditional questions. For example, you may want some questions to appear in the wizard only if an org contains certain data. Or you might want to add more specific questions based on the answers to more general wizard questions. * template-to-app-rules.json defines the rules the template follows. For example, you could define a rule that specifies that if an org doesn’t use certain Salesforce objects, the app won’t refer to them in dashboards or include them in the dataflow. Rules also define how variables are handled. For example, if the wizard asks which fields to include in filters for accounts, template-to-app-rules.json determines how that choice is reflected in dashboards.

NEW QUESTION 115
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
What solution should be recommended?

Create two custom apps: one for marketing dashboards with marketing as “viewer” and one for sales dashboards with sales as
“viewer.” Add the datasets as references to both custom apps.

Create three custom apps: one for marketing dashboards with marketing as “viewer,” one for sales dashboards with sales as
“viewer,” and one for datasets where marketing and sales are “viewer.”

Create one custom app for the datasets and share it with marketing and sales as “viewer.”

Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as “editor” and one for sales dashboards and datasets with sales as “editor.”

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

NEW QUESTION 116
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?

This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.

Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.

Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.

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.

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

NEW QUESTION 117
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?

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

NEW QUESTION 118
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?

Manager

Viewer

Editor

Designer

Reference:
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*##**##*

NEW QUESTION 119
A Tableau CRM consultant has just completed deployment of an analytic app containing a recipe plus several datasets and dashboards. While conducting post deployment a smoke test, the new datasets don’t seem to have migrated.
What post migration step has likely been forgotten?
What post migration step has likely been forgotten?

Apply security predicates on datasets

Run the recipe

Provide read access on the datasets

Go to Analytics Settings in Setup and approve the deployment

NEW QUESTION 120
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?

digest transformation

flatten transformation

delta transformation

sfdcDigest transformation

NEW QUESTION 121
The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.
Where is an edgemart transformation specified?

Dataflow Editor

Recipes Editor

Step Editor

Settings

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

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Salesforce Tableau CRM Einstein Discovery Consultant Certification Exam is designed for individuals who have expertise in implementing and managing the Tableau CRM Einstein Discovery platform. Tableau-CRM-Einstein-Discovery-Consultant exam covers a wide range of topics such as data modeling, data preparation, analysis, and visualization. It also tests the candidate’s ability to integrate Tableau CRM with other Salesforce platforms and tools such as Einstein Analytics, Salesforce CRM, and Salesforce CPQ.

Tableau-CRM-Einstein-Discovery-Consultant Dumps Ensure Your Passing: https://www.topexamcollection.com/Tableau-CRM-Einstein-Discovery-Consultant-vce-collection.html

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Tableau-CRM-Einstein-Discovery-Consultant PDF Pass Leader, Tableau-CRM-Einstein-Discovery-Consultant Latest Real Test [Q103-Q121]

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