Tableau-CRM-Einstein-Discovery-Consultant試験無料問題集「Salesforce Tableau CRM Einstein Discovery Consultant 認定」

How do you analyze data from a CSV file using Einstein Discovery?

A consultant is creating a Churn Prediction model to identify customers who are not likely to renew their contract.
What is the appropriate action to take?

Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed 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 next steps?

A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.
An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy.
The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner.
Given this information, how can an Einstein Consultant implement the above requirements?

How many external files can be uploaded to Einstein Analytics on rolling 24 hour basis?

Which of the following are included in the template object?

解説: (GoShiken メンバーにのみ表示されます)
Universal Containers (UC) is a multinational company that utilizes Salesforce and has a variety of internal systems. UC uses Einstein Analytics for their data analysis platform and they want to automate their weekly manual process to create a dataset from their on-premise data warehouse. Which solution should a consultant recommend to meet this requirement?

Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?

A story has been deployed to the Opportunity object with a prediction field, Predicted Amount.
How can all the Opportunity records be predictions written back to the Predicted Amount field?

Why is it important to prepare the data in a CSV file before you bring it into Analytics?

In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.
When you select one variable, what are you comparing?

A small Business Intelligence team is overwhelmed with multiple requests to create new dashboards. An option is to use layout templates to help with dashboard development.
What are two advantages of using layout templates? Choose 2 answers

Concurrent queries per user?

Universal Containers is evaluating the connection mode for the objects in their local Salesforce connector. They want to only sync updated and new records from the Order object, but they have some formula fields on the object and want to ensure those are updated weekly.
which
Which connection mode is best suited for this purpose?

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

解説: (GoShiken メンバーにのみ表示されます)
Number of queries per user per day

A Tableau CRM consultant has just completed deployment of an analytic app containing a recipe plus several datasets and dashboards. While conducting post deployment a smoke test, the new datasets don't seem to have migrated.
What post migration step has likely been forgotten?
What post migration step has likely been forgotten?