Free Salesforce ANC-201 Practice Test & Real Exam Questions

A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?

Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particular customer and see what similar customers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

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?

Exhibit.

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?

Universal Containers uses CRM Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users in the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How should a CRM Analytics consultant address this need?

Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The models are for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

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?

A CRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to deploy.
Which action should the consultant take?

A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?