Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Practice Test Instant Access

Question 1

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?

AMass edit all the records by populating the Predicted Amount field.

BUse the Prediction Service API to get the prediction and populate the Predicted Amount field.

CEnable a Bulk Scoring Job under the Prediction Definition.

DOpen all Opportunity records.

Answer : B

Question 2

To model customer value, a consultant decided to aggregate the amount ($) individual customers spent over a 2-year span.

With reference to the outcome variable, which action should the consultant take?

ACreate five bins of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow.

BSelect the option: Are you expecting a whole number greater than or equal to 0?

CCreate five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep.

DSelect to minimize the outcome variable.

Answer : B

Question 3

As a tableau CRM consultant you have been asked to bring data from a Snowflake database as well external Salesforce environment into Tableau CRM (CRM Analytics Plus edition). 25 objects have been enabled from the local Salesforce connector. After further investigation of the external Salesforce environment and 15 object each from the remaining 2 external Salesforce environment. You estimate each connector will per object bring between 1000 and 1 mil rows of data.

What limit will be exceeded?

AStorage rows of data

BSalesforce external connector number of synced rows

CTotal number of enabled objects

DSnowflake connector number synced rows

Answer : B

Question 4

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?

ARerun and update the story with a different algorithm.

BProceed with deployment if the model quality metric values ire sufficient.

CEdit the model accuracy settings and rerun the story.

DIdentify additional data that may have a stronger relationship with the outcome variable.

Answer : B, D

Question 5

A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.

Which action should the Einstein Consultant take?

ASplit the analysis into multiple models will each having fewer products

BAdjust the model to eliminate extreme values in the outcome variable.

CRun the model using the default variables in the Product object

DUse SKU numbers rather than product names to increase clarity.

Answer : D

Question 6

A story created has an AUC of .62.

What two things could be done to possible improve this AUC score?

Choose 2 answers

ASegment the training set.

BChange the order of the story insights to descending.

CRun detect sentiment on the dataflow before creating the story.

DAdd more rows of relevant data.

Answer : B, C

Question 7

A consultant built a very useful Einstein Analytics app for the corporate Sales Operations team of a company that has multiple Salesforce Ogrs, Each Org has similar models and would like to review their data the way that the corporate Sales Operations team does. The app has been packaged and needs to be installed on the other production orgs.

What is the recommended practice to install the custom template app?

ARest API

BSalesforce Managed Package

CChange Sets

DMetadata API

Answer : B

Salesforce Certified Tableau CRM and Einstein Discovery Consultant Exam Practice Test