Free Salesforce Einstein-Analytics-and-Discovery-Consultant Exam Dumps Questions & Answers

A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?

• A.  Identify data types and define the appropriate data as numeric.
• B.  Load the data into Einstein Analytics
• C.  Produce a graph of the data to analyze.
• D.  Analyze data columns and decide which, if any, to drop.

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

• A.  Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
• B.  No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
• C.  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.
• D.  yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.

How many groupings can you have in a Compare Table?

• A.  Up to four
• B.  One
• C.  None
• D.  Infinite

Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.
What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?

• A.  unlimited
• B.  10
• C.  4
• D.  8

Which isn't an option for setting a security predicate for a dataset created from an external data file?

• A.  In the metadata file associated with the external data file using the rowLevelSecurityFilter key
• B.  In the Register transformation node of a dataflow that uses this dataset
• C.  On each row prior to upload
• D.  In the dataset Security Predicate