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Salesforce Implement and Manage Tableau CRM Sample Questions (Q64-Q69):

NEW QUESTION # 64
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?

A. In the currency that is set on the "currency" attribute in the dataflow
B. In the integration user's currency
C. In the currency that is set on the "currency" attribute in the dataset
D. In the connected user's currency

Answer: B

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

NEW QUESTION # 65
An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fields does not return values when it is queried.
What can be the origin of this issue?

A. The "Integration User Profile" does not have access to the field.
B. The field does not contain any data in Salesforce.
C. The ""Security User Profile" does not have access to the field.
D. The user who runs the dataflow does not have access to the field.

Answer: B

NEW QUESTION # 66
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?

A. Create a query with a results based interaction as a filter using the limit query to pass in the 10 Account IDs.
B. Create a query and sort descending by revenue and limit it to 10 results.
C. Create 2 query with a selection based interaction as a filter using the limit query to pass in the 10 Account IDs.

Answer: B

Explanation:
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.

NEW QUESTION # 67
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. Remove the Store field from the model definition, because that is the recommended action.
B. Ignore alert; the explanation of variation is only 35%, which is below 50%,
C. Verify client expectations that Store is a strong predictor for daily sales quantity.

Answer: C

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 # 68
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.

Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers

A. Use selection binding in the filters section of the step "Step_pie_1."
B. Use selection binding in the filters section of the step "Region_1."
C. Enable the option "Apply filters from faceting" in the step "Step_pie_1."
D. Enable the option "Apply filters from faceting" in the step "Region_1."

Answer: A,C

NEW QUESTION # 69
......

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Jacob Ward Jacob Ward

Biography

ANC-301 Reliable Dumps Ppt - Dumps ANC-301 Torrent

ANC-301 Exam Torrent & ANC-301 Latest Pdf & ANC-301 Valid Questions

Salesforce Implement and Manage Tableau CRM Sample Questions (Q64-Q69):

Free PDF 2025 Salesforce Perfect ANC-301: Implement and Manage Tableau CRM Reliable Dumps Ppt