[Oct 03, 2025] Download Free Salesforce ANC-201 Real Exam Questions [Q63-Q77]

Rate this post

[Oct 03, 2025] Download Free Salesforce ANC-201 Real Exam Questions

Pass Your Exam With 100% Verified ANC-201 Exam Questions

Salesforce ANC-201 certification exam is designed for professionals who are interested in building lenses, dashboards, and apps using Tableau CRM. Building Lenses, Dashboards, and Apps in Tableau CRM certification program is ideal for individuals who want to demonstrate their expertise in creating custom applications that can help businesses to gain valuable insights from their data. ANC-201 exam is designed to test candidates’ knowledge of the Tableau CRM platform, as well as their ability to build effective data visualizations, dashboards, and lenses.

Salesforce ANC-201: Building Lenses, Dashboards, and Apps in Tableau CRM is a crucial certification exam for individuals who are looking to showcase their expertise in Tableau CRM Data Analytics, and gain a competitive edge in the job market. ANC-201 exam validates an individual’s skills in designing, configuring, and developing applications on the Tableau CRM platform, making it a valuable asset for any professional who wishes to succeed in the field.

Q63. After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?

Create a layout with the property “phone” to show the dashboard on the mobile app similar to creating a layout with the property “dashboard” to show on the desktop for the same dashboard,

If no layouts are eligible for the mobile device, an error message will be displayed but the dashboard will still be visible on the desktop without errors.

“Tablet” or “Phone” layout-where only minWidth and maxWidth have been set-may be displayed on a desktop if the dashboard is embedded in a small frame, or if the browser window is small.

When designing for different device types in CRM Analytics, particularly for mobile layouts, it’s crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here’s the rationale for focusing on this consideration:
Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.
Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.
User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.
This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.

Q64. The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.
Which consideration should the consultant keep in mind?

The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.

The total duration of the recipe runtimes can exceed the limit of 1 hour.

The number of concurrent recipe run limits that are associated with the org.

In CRM Analytics, recipes are used to prepare and combine data for datasets. The total duration of the recipe runtime is an important consideration when scheduling dataset refreshes. In this case, the combined runtime for both recipes (43 minutes + 25 minutes = 68 minutes) exceeds 1 hour. Since dataset refreshes cannot be scheduled more frequently than the total recipe runtime, it would be impossible to refresh the datasets every hour. This limitation must be considered when managing dataset refresh schedules.

Q65. A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters “*&**(&*(%”, which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

The column header is prefixed with “X” upon upload.

The column header is auto-updated to “Column” + column number.

The column header Is set to *&**(&*(%.

When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules. Headers containing non-alphanumeric characters, such as “&**(&(%”, will automatically be adjusted. Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with “X” to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.

Q66. After getting approval of the dashboard layout design for a desktop, the Einstein Analytics consultant is ready to start the design process for a mobile layout.
What are three considerations that the consultant should keep in mind when developing the layout? Choose 3 answers

If no layouts are eligible for the mobile device, the first defined layout is used. (Missed)

If no layouts are eligible for the mobile device, an error message will be displayed.

If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used. (Missed)

A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.

There are widgets that cannot be displayed on mobile layouts.

https://trailhead.salesforce.com/en/content/learn/modules/wave_dashboard_designer_basics/wave_take_analytics_on_the_go

Q67. Exhibit:

Universal Containers has a Sales Manager dashboard. They need to build a table as shown in the graphic and calculate the summary as the first line in a compare table.
How can the summary be calculated’

Use the Show Summary option in the compare table.

Add a formula field to calculate the summary.

Use a SAQL query since the summary is not available in standard interface.

Create a computeExpression field in the Dataflow to calculate the summary.

Q68. Your sales team requests that datasets for their dashboards are refreshed every hour. You agree to investigate if this is possible and find that the dashboards use A datasets created from two recipes. The first recipe takes 43 min to run and the second recipe takes 25 min to run.
Is it possible to refresh data every hour?

Yes, the number of recipe runs does not exceed the limit of 60 in a 24 hour rolling period.

No, the number of recipe runs exceed the limit of 40 in a 24 hour rolling period.

No, the total duration of the recipe jobs exceeds one hour.

Yes, with the concurrent recipe runs the duration is less than hour.

Q69. The Universal Containers company thinks it knows everything about its business. However, Einstein Discovery surfaces an unexpected pattern that is concerning. They call in departmental experts and hold a meeting to discuss next steps with an Einstein Consultant.
What should the consultant advise as the next action’

Consult a Data Scientist for further analysis.

Determine if the pattern is a data issue or a new insight.

Filter out the data that causes the unexpected pattern and analyze the new results.

Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer.

Q70. A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?

Aggregate

Flatten

Join

Q71. What are the two types of bindings? Choose 2:

Results binding

Data bindings

Description bindings

Selections bindings

Q72. What is the test called that helps to identify categories that exhibit a pattern outside the overall average?

Null hypothesis test

Significance level test

Critical region test

Chi-square test

T-test

Q73. A company’s Salesforce org has multi-currency enabled. This company’s business intelligence team used Einstein Analytics to build a dataflow that creates a dataset, “OpportunityDataSet”. This dataset is populated with data extracted from the standard object, Opportunity. One of the extracted fields is the standard field, Amount.
If a user explores the “OpportunityDataSet” in Einstein Analytics, in which currency will the Amount values be shown?

In the connected user’s currency

In the integration user’s currency

In the currency that is set on the “currency” attribute in the dataset

In the currency that is set on the “currency” attribute in the dataflow

Reference:
https://salesforce-trailblazer.com/einstein-analytics-multi-currency/

Q74. The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back. However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?

Raise a case with Salesforce Support to help Increase the concurrency limits of the org.

Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.

Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.

Q75. Is there a need for a separate Permission Set Licence for an Analytics app?

Yes

Q76. An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.

By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.

The customer’s org must have a Shield Platform Encryption tenant secret.

Bring Your Own Key is not supported.

https://help.salesforce.com/articleView?id=bi_analytics_encryption.htm&type=5

Q77. Which isn’t an option for setting a security predicate for a dataset created from an external data file?

In the metadata file associated with the external data file using the rowLevelSecurityFilter key

In the Register transformation node of a dataflow that uses this dataset

In the dataset Security Predicate

On each row prior to upload

Loading …