View all detail and faqs for the Tableau-CRM-and-Einstein-Discovery-Consultant exam
A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.
What conclusion can be drawn from this insight?
What conclusion can be drawn from this Insight?
An Einstein Consultant receives a new project from a client that wants to implement Einstein Analytics. They do not currently have Einstein Analytics,but want guidance around how to ensure that their users have correct access.
They have 1000 users with a small team of three people who will build datasets and dashboards. An additional 15 people should be able to create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
What do you have to assign to users before they can access Analytics?
How many stories can you create in Analytics Plus?
A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace.
What can the consultant do toincrease adoption?
Creating an Einstein Discovery story involves:
A company created a dataset called myExternalDataset. It contains a dimension, called UserRegion, that is populated by the standard User object's picklist: Region.
The company has security requirements for this dataset:
1. Only a subset of users should be able to access the dataset.
2. Users who can access the dataset should see only data that belongs to their region.
In which two ways can an Einstein Analytics consultant help them implement these requirements? Choose 2 answers
What are the two main parts of a lens/exploration?
You can configure access to data at all of the following levels, except:
A client has a dataset comprised of Opportunity data and Opportunity Line level data. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.
What must be done to the dataset to achieve this goal?