SALESFORCE ANC-301 INTERACTIVE COURSE, EXAM QUESTIONS ANC-301 VCE

Salesforce ANC-301 Interactive Course, Exam Questions ANC-301 Vce

Salesforce ANC-301 Interactive Course, Exam Questions ANC-301 Vce

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Salesforce ANC-301 Exam consists of 60 multiple-choice questions that have to be answered within 90 minutes. ANC-301 exam covers a wide range of topics, including data modeling, data preparation, analytics, and visualization. Candidates are required to have a good understanding of Tableau CRM functionality, including how to create and manage data models, how to prepare data for analytics, and how to create and share visualizations. Candidates are also expected to have experience working with Tableau CRM tools, such as the Tableau CRM app builder and the Tableau CRM APIs.

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Salesforce Implement and Manage Tableau CRM Sample Questions (Q51-Q56):

NEW QUESTION # 51
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?

  • A. Use a field on the user record like Department/Region, and apply row-level security based on that field.
  • B. Create two separate datasets; one for EMEA, and one for CXOs and VPs.
  • C. Create two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.

Answer: A

Explanation:
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.


NEW QUESTION # 52
A consultant has been asked to build and embed a dashboard in a Lightning page. Users should only be able to change the dashboard contrast and open Analytics Studio from the header of the dashboard.
How should the consultant achieve this?

  • A. Deselect the "Show Share Icon" and "Enable Subscriptions" buttons.
  • B. Deselect the "Enable Notifications" and "Enable Subscriptions" buttons.
  • C. Deselect the "Enable Notifications" and "Enable Email" buttons.

Answer: B


NEW QUESTION # 53
consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation.

Which action should the consultant take?

  • A. Verify client expectations that Store is a strong predictor for daily sales quantity.
  • B. Ignore alert; the explanation of variation is only 35%, which is below 50%,
  • C. Remove the Store field from the model definition, because that is the recommended action.

Answer: A

Explanation:
Upon reviewing the data model and noticing the high correlation alert between 'Store' and daily sales quantity, the appropriate action is to verify with the client their expectations regarding the influence of the Store field on daily sales. Here's the rationale:
Understanding the Role of 'Store' in the Model: Before making any changes to the model, it's crucial to understand whether the 'Store' field is expected to be a strong predictor based on the business context. If the client expects that different stores inherently have different sales volumes due to factors like location, size, or customer base, this correlation may be both meaningful and desired.
Potential Data Leakage: High correlation warnings can sometimes indicate data leakage, where a predictor (like 'Store') might inadvertently include information about the outcome variable (daily sales quantity). It's essential to verify whether this correlation makes sense logically or if it's skewing the model predictions.
Client Consultation: Consulting with the client helps ensure that any modeling decisions align with their business knowledge and expectations. It's about validating the model against real-world expectations and ensuring it remains a useful tool for decision-making.
By taking these steps, the consultant not only adheres to best practices in data science by validating model inputs and their implications but also ensures that the model aligns with the client's business strategies and operational realities.


NEW QUESTION # 54
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?

  • A. Use security predicates in CRM Analytics.
  • B. Increase the sharing descriptor limit in the analytics settings.
  • C. Contact Salesforce Support to increase the sharing descriptor limit.

Answer: A

Explanation:
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.


NEW QUESTION # 55
A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?

  • A. Use the Analytics External Data API and leverage the "query" resource.
  • B. Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
  • C. Export the dataset as a CSV file and load it to an external database.
  • D. Use the Analytics REST API and leverage the -query" resource.

Answer: A


NEW QUESTION # 56
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