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Salesforce Einstein Analytics and Discovery Consultant(SU19) EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Dumps in PDF

Free Salesforce EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Real Questions (page: 5)

Page 5 of 43 EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT PDF — 209 Questions

QUESTION: 21

Maximum concurrent API Analytics calls per org

200
500
100
50

Answer(s): C

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QUESTION: 22

A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.
Which two actions must be performed when writing the SAQL query?
Choose 2 answers

Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
Investigate which prediction model is best for the data available.
Validate that there is enough data in the dataset to make a good prediction.
Include the fill SAQL statement to fill any missing dates.

Answer(s): B,D

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QUESTION: 23

A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter shows numbers instead of names.
How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

flatten
compute Relative
compute Expression
append

Answer(s): C

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QUESTION: 24

What is an Analytics app?

A specialized version of the Einstein Analytics platform that runs outside of Salesforce
Analytics for iPad
A collection of datasets, dashboards, lenses, and a dataflow
The blueprint for your org's Einstein Analytics implementation

Answer(s): C

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QUESTION: 25

How can you restrict access to Analytics data at the row level?

Manually add a flag to each row to prevent access.
Use a security predicate to filter which rows are returned.
Use subtle thought control.
Remove restricted rows from the JSON file.

Answer(s): B

Explanation:

Predicate is a name for a filter condition that defines row-level access to records in a dataset Example:
"rowLevelSecurityFilter":"'AccountOwner' == \"$User.Name\""

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