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Salesforce ANC-201 Dumps - Pass Building Lenses, Dashboards, and Apps in CRM Analytics Exam in First Attempt 2026
The Salesforce ANC-201 exam, Building Lenses, Dashboards, and Apps in CRM Analytics, is part of the Salesforce Consultant,CRM Analytics and Einstein Discovery Consultant certification path. It is designed for candidates who work with CRM Analytics and need to build effective analytics experiences using apps, lenses, and dashboards. Passing this exam shows that you can create clear, useful, and controlled analytics solutions for business users. It is an important step for professionals who want to validate practical Salesforce CRM Analytics skills.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Apps and Assets | Creating and organizing apps, managing assets, sharing assets within apps, asset usage and structure | 22% |
| 2 | Dashboard Design | Layout planning, chart selection, filters and interactions, building user-friendly dashboard views | 26% |
| 3 | Dashboard Design Best Practices | Visual clarity, consistent design, performance considerations, effective use of space and components | 18% |
| 4 | Dashboard Visibility | Access control, sharing settings, audience targeting, visibility rules for dashboards and content | 20% |
| 5 | Supplemental Materials and Optional Project | Reference materials review, guided practice, optional project application, reinforcing exam readiness | 14% |
This exam tests more than memorization. Candidates must understand how to build CRM Analytics content, design dashboards that are effective for users, and apply best practices for visibility and usability. It also evaluates practical knowledge of apps and assets, so you need both conceptual understanding and hands-on ability to work in realistic scenarios.
How QA4Exam.com Helps You Pass
QA4Exam.com provides Exam PDF and Online Practice Test materials that are built to help you prepare for the Salesforce ANC-201 exam with confidence. The PDF format gives you actual questions and answers for focused study, while the practice test helps you experience a real exam simulation before test day. Both resources are updated to reflect current exam needs, include verified answers, and help you understand the question style and timing. With repeated practice, you can improve time management, identify weak areas, and increase your chance of passing on the first attempt.
FAQ
This exam is for candidates pursuing the Salesforce Consultant,CRM Analytics and Einstein Discovery Consultant certification path and for professionals who work with CRM Analytics dashboards, apps, and visibility settings.
It can be challenging because it tests practical understanding of apps, dashboard design, best practices, and visibility. Candidates who study the exam topics and practice with realistic questions are better prepared.
Braindumps alone are not the best approach. You should combine them with topic review and practice so you understand why answers are correct and can handle new question wording in the exam.
Hands-on experience is very helpful because the exam focuses on building lenses, dashboards, and apps in CRM Analytics. Practical exposure makes it easier to understand design choices, visibility settings, and best practices.
They are designed to be a strong preparation tool, especially when used for review and simulation. For the best results, study the topics, practice consistently, and use the verified answers to reinforce your understanding.
QA4Exam.com offers an Exam PDF and an Online Practice Test. The PDF supports focused study, and the online test helps you experience a timed, exam-like environment.
Practice tests help you learn the question style, manage your time, and identify weak areas before the real exam. That preparation can improve confidence and support a first-attempt pass.
The questions for ANC-201 were last updated on Jul 20, 2026.
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A new picklist value was added for the Category field on the Account object. This field is already added as part of the Account object data sync and the respective recipe that uses this field.
The CRM Analytics team reports that when they start the recipe it runs successfully with no errors or warnings, but they are unable to See this new values on their existing dashboards.
What is the oridi4 of this issue?
Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first 6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing
the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How should a CRM Analytics consultant help UC build this lens?
Universal Containers has a dashboard for sales managers. They need to visualize the percentage of their opportunities in the pipeline in a Gauge chart. They want to customize the chart to keep track if they are below or beyond the target.
Which widget parameters should a consultant use?
In the scenario described, the sales managers at Universal Containers require a Gauge chart that not only shows the current percentage of opportunities in their pipeline but also indicates whether they are below or beyond their set targets. The appropriate widget parameters to achieve this visualization in Salesforce CRM Analytics (formerly known as Einstein Analytics) are:
Reference Line: This parameter is crucial for defining a specific target value on the gauge chart. It visually marks a point that represents the target goal, providing an immediate visual cue as to whether the current percentage is below or above this point.
Markers: Markers are used to represent and highlight specific values on the gauge chart. They can be utilized to emphasize the current percentage level of the pipeline, making it instantly visible how close or far the current value is from the reference line or target.
Conditional Formatting: This feature allows the chart to change color or style based on whether the current values meet, exceed, or fall below the target. It is a critical visual tool for quickly communicating performance against targets. Conditional formatting can be set to alter the appearance of the gauge's fill color based on whether the values are above, equal to, or below the reference line, thereby providing an intuitive visual representation of performance relative to targets.
The combination of these three parameters enables a highly effective visualization for sales managers to monitor their performance against key metrics and targets directly on their dashboards. This setup is aligned with Salesforce's best practices for creating meaningful and actionable insights within CRM dashboards, ensuring that users can easily interpret and react to the data presented.
For more details on configuring these parameters, you can refer to Salesforce documentation and specific Trailhead modules that cover dashboard creation and customization:
Building Lenses, Dashboards, and Apps in CRM Analytics
These resources provide in-depth training and examples to help users effectively use Salesforce CRM Analytics for a wide range of data visualization needs.
Universal Containers plans to upload target data from an external tool to CRM Analytics so it can calculate the sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales rep, the target amount, and the month of the target. For each sales rep, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?
For uploading target data that changes on a monthly basis and includes historical data (previous years' targets), the appropriate operation is 'Overwrite.' This ensures that each time the CSV file is uploaded, the existing data in the dataset is replaced with the new data. This is critical because the target data includes both current and historical data, and using 'Overwrite' will update the entire dataset while maintaining historical accuracy.
'Append' would add new data without replacing the old records, leading to duplication, and 'Update' is not suitable for completely replacing data in this context.
A dashboard designer at Cloud Kicks creates a dashboard in CRM Analytics. The designer notices fields display on the dashboard with their API labels, such as "AccountId.Industry", and wants to change this behavior.
The designer also notices that the fields and their order appear to randomly change when a values table is created.
What should the CRM Analytics consultant explain to help the designer?
For the scenario at Cloud Kicks where fields display with their API labels and the fields in a values table seem to change order randomly, the correct approach is to modify these settings in the dataset explorer within CRM Analytics. This allows for a more intuitive display and control over how data is presented in dashboards.
Here's how these adjustments help:
Modifying Field Labels: Changing the field labels from their API names to more user-friendly names enhances readability and user experience. This can be done directly in the dataset explorer, which affects how fields appear across all dashboards utilizing that dataset.
Controlling Field Order: The order of fields in a values table can seem random if not explicitly set. By using the dataset explorer, a designer can specify the order in which fields appear, which then reflects consistently in the dashboard's values table.
This functionality is part of CRM Analytics' aim to provide flexible and customizable data visualization tools. Training on these features is available through various Salesforce Trailhead modules that discuss dashboard and dataset customization techniques, providing practical insights and guided tutorials to enhance dashboard design and user interaction.
Both these explanations are consistent with best practices as outlined in Salesforce's CRM Analytics documentation and the Trailhead educational content, ensuring that users are well-equipped to leverage the full capabilities of CRM Analytics for effective data management and presentation.
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