PASS GUARANTEED 2025 SALESFORCE THE BEST ANC-201: BUILDING LENSES, DASHBOARDS, AND APPS IN TABLEAU CRM RELIABLE TEST ONLINE

Pass Guaranteed 2025 Salesforce The Best ANC-201: Building Lenses, Dashboards, and Apps in Tableau CRM Reliable Test Online

Pass Guaranteed 2025 Salesforce The Best ANC-201: Building Lenses, Dashboards, and Apps in Tableau CRM Reliable Test Online

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The Salesforce ANC-201 is a very prestigious certificate that is considered a guarantee of a well-paid job in a reputed tech firm. Most candidates attempting the Building Lenses, Dashboards, and Apps in Tableau CRM test are nervous. Very few applicants can earn the Building Lenses, Dashboards, and Apps in Tableau CRM ANC-201 certificate on their first attempts because of the challenging level of topics included in the Salesforce ANC-201 test. ActualtestPDF ANC-201 actual dumps help applicants in clearing the test very easily.

Another vital area of the ANC-201 Certification Exam is building dashboards. Dashboards provide real-time, actionable insights into critical business metrics. Candidates should be well-versed in the different types of dashboards, including operational, strategic, and analytical dashboards. They should also have a good understanding of the different components of a dashboard, such as charts, tables, and filters.

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The Salesforce ANC-201 exam covers various topics such as building lenses, creating dashboards, designing and building apps, and using Tableau CRM data. It also tests the candidate's knowledge of Tableau CRM security, access controls, and user management. ANC-201 Exam is based on the latest version of Tableau CRM, and candidates should be familiar with the latest features and functionalities.

Salesforce Building Lenses, Dashboards, and Apps in Tableau CRM Sample Questions (Q46-Q51):

NEW QUESTION # 46
What can you do with the dataflow?

  • A. Extract Salesforce object data into Analytics
  • B. Extract data from an external CSV file into Analytics
  • C. Explore a dataset
  • D. Build a dashboard

Answer: A


NEW QUESTION # 47
Refer to the exhibit.

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?

  • A. coalesce()
  • B. number_to_string()
  • C. substr()
  • D. replace()

Answer: A


NEW QUESTION # 48
Which of these is not a method for controlling record-level access?

  • A. Role Hierarchy
  • B. Sharing Rules
  • C. Organization-Wide Defaults
  • D. Profiles

Answer: D

Explanation:
https://help.salesforce.com/articleView?id=bi_security_datasets_row_level.htm
https://help.salesforce.com/articleView?id=managing_the_sharing_model.htm&type=5


NEW QUESTION # 49
Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The models are for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

  • A. Segment the account data per region and deploy the appropriate model for each segment.
  • B. Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.
  • C. Filter the account data per region and deploy the same model to all segments.

Answer: A

Explanation:
In deploying Einstein Discovery models that are tailored to different regions (EMEA, AMER, and APAC), the best approach is to segment the account data by region and apply the specific model designed for each segment. This method ensures the following:
Relevance and Accuracy: Each model can be specialized to understand and predict based on regional dynamics, which may differ significantly across geographies in terms of market behavior, customer preferences, and economic conditions.
Efficiency: Deploying region-specific models avoids the dilution of predictive power that might occur if a single model were used across all regions, which could lead to less accurate predictions.
Scalability: This approach is scalable as UC can further refine each model as more regional data becomes available or as regional market conditions evolve.


NEW QUESTION # 50
The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an "activitylD" dimension and a "userlD" dimension Dataset B: contains a list of users with a "userlD" dimension The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?

  • A. Use an external ETL tool to extract both datasets and delete records.
  • B. Use the dataflow transformation "delete" and set "userlD" as the deletion ID.
  • C. Use a combination of dataflow transformations: "augment" and "filter."

Answer: C

Explanation:
D, Use the recipe operation "delete" and set "userlD" as the deletion ID.


NEW QUESTION # 51
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