Free Salesforce ANC-101 Exam Dumps Questions & Answers

The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an "activitylD" dimension and a "userlD" dimension Dataset B: contains a list of users with a "userlD" dimension The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?

• A.  Use the dataflow transformation "delete" and set "userlD" as the deletion ID.
• B.  Use the recipe operation "delete" and set "userlD" as the deletion ID.
• C.  Use a combination of dataflow transformations: "augment" and "filter."
• D.  Use an external ETL tool to extract both datasets and delete records.

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.  Selected variable with all story data
• B.  Selected variable average with the filtered average
• C.  Selected variable average with the mean
• D.  Selected variable with a different variable
• E.  Selected variable with CLV

A new field called "CardBalance" is added to the standard object. Account. The team wants to add this new field to an Einstein Analytics dataset that sources the Account object; however, the team needs to limit the users who are able to view that field's data in the dataset.
How can an Einstein Consultant help them implement this new requirement?

• A.  Add the new field to the existing dataset and use "Security Predicates' to hide it from users who should not access it.
• B.  Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.
• C.  Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.
• D.  Add the new field to the existing dataset and activate "Sharing inheritance" in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.

Mosaic recently hired a new development coordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?

• A.  An admin hasn't run a dataflow.
• B.  Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
• C.  Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
• D.  Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.

When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

• A.  No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
• B.  No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
• C.  Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
• D.  yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.