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2023 Updated Verified ANC-201 Downloadable Printable Exam Dumps

The Ultimate Salesforce ANC-201 Dumps PDF Review

Salesforce ANC-201: Building Lenses, Dashboards, and Apps in Tableau CRM is a certification exam designed for professionals who want to prove their skills in building lenses, dashboards, and apps using Tableau CRM. ANC-201 exam is suitable for individuals who are Tableau CRM developers, architects, and consultants. Building Lenses, Dashboards, and Apps in Tableau CRM certification exam is developed by Salesforce, a leading provider of customer relationship management (CRM) software.

 

QUESTION 130
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?

 
 
 
 

QUESTION 131
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?

 
 
 
 

QUESTION 132
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’

 
 
 
 

QUESTION 133
A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.
Which two actions must be performed when writing the SAQL query?
Choose 2 answers

 
 
 
 

QUESTION 134
What’s the magic of faceting?

 
 
 
 

QUESTION 135
When Analytics runs a dataflow that accesses Salesforce objects, which user does it use?

 
 
 
 

QUESTION 136
How many concurrent stories per org are allowed?

 
 
 
 

QUESTION 137
An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads more quickly. After some analysis, the consultant found that most of the dashboard steps run in less than five seconds; however, the Opportunities Table takes 30 seconds to run.
How can the consultant improve the performance of this dashboard?

 
 
 
 

QUESTION 138
When deploying a model to an existing Prediction, w number should be considered”1

 
 
 
 

QUESTION 139
Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?

 
 
 
 

QUESTION 140
The client asks an Einstein Consultant to build a dashboard with a chart that shows revenue and quantity of units sold. Which type of Combo Chart can the consultant use?

 
 
 
 

QUESTION 141
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?

 
 
 
 

QUESTION 142
Universal Containers has a Dashboard for Sales Managers. They need to visualize their win rate.
Which chart type can be used to keep track if they are below of beyond the target?

 
 
 
 

QUESTION 143
Can you share dashboards with others in your org?

 
 
 
 

QUESTION 144
You can get data into Einstein Discovery:

 
 
 
 

QUESTION 145
A company asks a Tableau CRM consultant to review the performance of their local data sync.
After removing unused objects and fields from connected
data, what else can the consultant do to improve performance of data sync”*

 
 
 
 

QUESTION 146
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?

 
 
 
 

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