The ANC-201 exam validates your ability to design and build effective analytics solutions using Salesforce CRM Analytics. This certification is ideal for consultants and developers who implement dashboards, lenses, and apps that drive business insights. The exam tests both conceptual knowledge and practical decision-making across the full analytics workflow. This page maps the syllabus, question types, and study strategies to help you prepare efficiently and confidently.
Use this topic map to guide your study for Salesforce ANC-201 (Building Lenses, Dashboards, and Apps in CRM Analytics) within the Salesforce Consultant, CRM Analytics and Einstein Discovery Consultant path.
The ANC-201 exam uses multiple question types to assess both foundational knowledge and applied reasoning. Questions progress in difficulty and reflect real-world analytics implementation challenges.
Questions emphasize practical application and encourage you to think through trade-offs between design elegance, performance, and user needs.
Effective preparation balances topic review with hands-on practice and timed drills. Allocate study time proportionally to the syllabus weight, and use practice questions to identify gaps early. The goal is to internalize patterns and build confidence in your decision-making.
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Dashboard Design and Dashboard Design Best Practices typically account for a significant portion of the exam. However, all five topic areas are tested, and questions often integrate multiple concepts. For example, a scenario might require you to design a dashboard (design), configure its visibility (visibility), and organize it within an app (apps and assets). Balance your study across all topics, but allocate extra time to dashboard design patterns and best practices.
In practice, you start by planning your Apps and Assets structure to organize analytics for your team. Then you design individual Dashboards using best practices for layout and interactivity. Next, you configure Dashboard Visibility to enforce security and control who sees what data. Finally, you use Supplemental Materials like labs to test your work and refine your approach. Understanding these dependencies helps you answer scenario questions that span multiple topics.
Hands-on experience is valuable because it builds muscle memory and reveals how design choices affect user experience. Prioritize labs that let you create a lens, build a dashboard from scratch, configure filters and drill-downs, and manage app permissions. If time is limited, focus on dashboard creation and design iteration, as these skills are heavily tested. Optional projects that simulate real business problems are especially useful for scenario-based questions.
Many candidates overlook the importance of mobile optimization and accessibility in dashboard design. Others confuse dashboard-level visibility settings with row-level security, or fail to consider performance implications of complex lens calculations. A frequent error is choosing a visualization type that doesn't match the data story or user goal. Review the explanations in practice questions carefully to avoid repeating these patterns on exam day.
In the final week, shift from learning new content to reinforcing weak areas and building speed. Retake practice tests in timed mode and focus on questions you missed. Review the explanations and trace back to the relevant syllabus topic. Spend 20-30 minutes daily on scenario-based questions to sharpen your decision-making. On the day before the exam, do a light review of key terms and best practices, then rest well to arrive focused and confident.
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger. This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.
In Data Alerts, a field named Region is 96.5% North Americ
a. The consultant believes that this is an important field since the majority of sales is in the North American market.
What is the appropriate action?
Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing 'Account' dataset as follows:
This, however, does not seem to be working as expected.
What is causing the issue?
The issue with the security predicate not functioning as expected likely stems from a permissions issue related to the custom field Demographic__c on the User object. Here's a detailed explanation:
Field-Level Security: If the sales reps do not have access to the Demographic__c field, the security predicate which references this field cannot execute properly as the system cannot evaluate the predicate without accessing the field.
Permission Settings: Ensuring that the sales reps have the necessary permissions to view and use the Demographic__c field is crucial for the security predicate to function correctly.
Data Visibility: The security model in CRM Analytics relies heavily on the underlying data permissions in Salesforce. If these permissions are not correctly configured, the expected data visibility through CRM Analytics will not be achieved.
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?
A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to use security predicates, which allow fine-tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.
