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SalesForce EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT - Questions & Answers

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Question 1
Multiple choice

A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.

Which two design considerations should be determined at this time? Choose 2 answers

A.

Which fonts to use for headers and body text

B.

Which charts to use to best support the defined goal

C.

How many charts should be allowed on a single dashboard

D.

Which colors to use and how to use them

Question 2
Single choice

Upper and lower limits on columns (vars) in discovery:

A.

20 column minimum, 50 maximum

B.

10 column minimum, 200 maximum

C.

2 column minimum, 50 maximum

D.

2 column minimum, 25 maximum

Question 3
Multiple choice

Using the Setup menu, the Universal Containers company activated data sync (replication) in the Einstein Analytics settings. After running the sync, they notice that the aggregate sum of a field within their dataset is different than what they manually calculated by summing the same data in the Salesforce object from which the dataset was populated.

Which two differences in the newly synced data can explain this? Choose 2 answers

A.

Differences involving permanently deleted records

B.

Differences involving workflow-updated fields

C.

Differences involving formula fields

D.

Differences involving trigger-updated fields

Question 4
Single choice

To use the Sales Analytics app, which permission set license do you need?

A.

Sales Wave

B.

Sales Analytics Apps

C.

Analytics Templated Apps

D.

Security User

Question 5
Multiple choice

An Einstein Consultant is implementing encryption for a customer.

Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

A.

When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.

B.

By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.

C.

The customer's org must have a Shield Platform Encryption tenant secret.

D.

Bring Your Own Key is not supported.

Question 6
Single choice

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?

A.

As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" &&
'Ownerld' == "SUser.Id".

B.

As part of the dataflow, use computeExpression on the Roleld field to create an attribute called
'ParentRolelDs' on the opportunity
dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' ==
"$User.Id".

C.

As part of the dataflow, use computeRelative on the Roleld field to create an attribute called
'ParentRolelDs' on the opportunity
dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' ==
"$User.Id".

D.

As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the
opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" ||
TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".

Question 7
Single choice

Max story creations per org per month

A.

1000 (can purchase more)

B.

500 (can purchase more)

C.

200 (can purchase more)

D.

500

Question 8
Single choice

What does XMD stand for?

A.

Configuring unsupported fields

B.

Lenses Dataset Fields

C.

Extended Metadata

D.

Create a JSON

Question 9
Single choice

A client has a dataset comprised of Opportunity data and Opportunity Line level data. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.

What must be done to the dataset to achieve this goal?

A.

Select the isWon = True outcome variable and generate the story.

B.

Filter to only look at isWon = True records to avoid skewing the results.

C.

Click Create Story and Einstein will take care of the rest.

D.

Change the grain by removing the line level detail as it will skew the win rate.

Question 10
Single choice

About what does the configuration wizard ask you questions about how you measure?

A.

Case duration

B.

Customer geography

C.

Customer satisfaction

D.

Case resolution

E.

All of the above

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