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Salesforce ANC-201 Exam Dumps

Get All Building Lenses, Dashboards, and Apps in CRM Analytics Exam Questions with Validated Answers

ANC-201 Pack
Vendor: Salesforce
Exam Code: ANC-201
Exam Name: Building Lenses, Dashboards, and Apps in CRM Analytics
Exam Questions: 115
Last Updated: August 24, 2026
Related Certifications: Salesforce Consultant, CRM Analytics and Einstein Discovery Consultant
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Free Salesforce ANC-201 Exam Actual Questions

Question No. 1

Universal Containers' sales team is looking to build a dashboard that shows the total revenue from their top 10 accounts (based on revenue) and make it dynamic with the filters of the dashboard.

Which action is required to accomplish this?

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Correct Answer: A

To create a dashboard showing the top 10 accounts by revenue dynamically, the best approach is to create a query that sorts the accounts in descending order by revenue and limits the results to the top 10. This query can then be used as the data source for the widget, ensuring that it dynamically adjusts based on the filters applied to the dashboard.

This method efficiently handles the task because sorting by revenue and limiting the results to 10 ensures that only the top accounts are displayed, and it remains dynamic with dashboard filters.


Question No. 2

CRM Analytics team plans to enable data sync.

Which limit specific to data syne should the team consider before enabling the feature because it may impact existing jobs?

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Correct Answer: C

In CRM Analytics, when planning to enable data sync, one of the critical considerations is the limit on the number of objects that can be enabled for data sync. This limit is essential because it determines how many different Salesforce objects (like Accounts, Opportunities, etc.) can be synchronized concurrently. Exceeding this limit could impact the performance of existing sync jobs or prevent new sync jobs from being configured.

Key points to consider include:

Performance Impact: Syncing too many objects simultaneously can lead to increased load times and potential delays in data availability, impacting users' ability to access up-to-date information.

Resource Allocation: CRM Analytics allocates resources based on the number of objects being synchronized, and there are practical limits to these resources to ensure stable and efficient operation.

For a more detailed understanding and to manage these limits effectively, Salesforce provides documentation and guidelines within the CRM Analytics resources, which can be further explored in the Trailhead modules specifically focusing on data management and synchronization practices.


Question No. 3

Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.

Which CRM Analytics user interface features should be used to complete these requirements?

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Correct Answer: B

CRM Analytics provides out-of-the-box connectors for integrating external data sources like Microsoft Azure SQL Data Warehouse. To meet the requirement of daily automated data loading, the Microsoft Azure SQL Data Warehouse Connector can be used to pull data into CRM Analytics. Once the data is imported, dataflows or recipes can be used to transform and merge this data with the organization's Salesforce data. Recipes allow for merging datasets and applying any necessary transformations, ensuring the data from Azure is combined and transformed appropriately before analysis. Reference: CRM Analytics Connectors and Dataflows


Question No. 4

The CRM Analytics consultant at Cloud Kicks is asked to a dashboard displaying Opportunities data on the account's record page. The dashboard should display only opportunity data related to the current account viewed.

How should the consultant accomplish this?

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Correct Answer: B

Question No. 5

A CRM Analytics consultant wants to move a dataflow to a recipe in order to use aggregation nodes. To do so, they use the Dataflow to Recipe convertor and the recipe runs successfully.

However, they are unable to see the aggregated data in the dataset.

What is causing the issue?

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Correct Answer: C

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