Validate your Skills with Updated Tableau-CRM-Einstein-Discovery-Consultant Exam Questions & Answers and Test Engine [Q81-Q102]

Rate this post

Validate your Skills with Updated Tableau-CRM-Einstein-Discovery-Consultant Exam Questions & Answers and Test Engine

Tested & Approved Tableau-CRM-Einstein-Discovery-Consultant Study Materials Download Free Updated 210 Questions

NO.81 A Salesforce administrator wants to create a new dashboard that uses custom geoJSON to display data; however, the administrator is unable to upload the file via the UI.
What should be done?

Add the system permission “Manage Analytics Custom Maps” to the permission set used.

Enable “Custom maps with geoJSON” in the analytics settings.

Upload the geoJSON via the API because it is not a function in the UI.

Contact Salesforce support and request to get custom maps and geoJSON enabled for the org.

NO.82 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

NO.83 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?

Use the dataflow transformation “delete” and set “userlD” as the deletion ID.

Use a combination of dataflow transformations: “augment” and “filter.”

Use an external ETL tool to extract both datasets and delete records.

NO.84 A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?

computeExpression Transformation with SAQL Expression to calculate the duration

flatten Transformation with Offset Expressions to calculate the duration

computeRelative Transformation with offset parameter to calculate the duration

computeRelative Transformation with SAQL Expression to calculate the duration

NO.85 What does XMD stand for?

Configuring unsupported fields

Lenses Dataset Fields

Extended Metadata

Create a JSON

NO.86 The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers

Deploy the story, because the variation in the metrics is within the normal range.

Confirm that the overall GINI coefficient is good prior to deploying the story.

Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.

Do not deploy the story immediately, and research why one fold is performing worse than the others.

NO.87 What are the two main parts of a lens/exploration?

Query

Visualization

Dataset

Measure

Grouping

NO.88 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?

Selected variable with CLV

Selected variable average with the mean

Selected variable with a different variable

Selected variable average with the filtered average

Selected variable with all story data

NO.89 Philip adds a recently created Seed Bank Orders dataset to an Einstein Analytics app for which the Mosaic Seed Bank project team has the Viewer app role. How much data in the Seed Bank Orders dataset can a project team member see?

None of the data

Only rows designated by the Salesforce administrator

All rows and fields in the datasets

Only rows designated by the App Manager

NO.90 Timeout for ETL jobs that have been scheduled but not executed

5 minutes

15 minutes

20 minutes

10 minutes

NO.91 Trending data limits: Maximum number of trended datasets per user and rows per snapshot:

5 per user, 200,000 per snapshot

10 per user, 100,000 per snapshot

10 per user, 200,000 per snapshot

5 per user, 100,000 per snapshot

NO.92 When you assign any Analytics permission set to users in your org, Salesforce auto-assigns the Analytics Platform permission set license to that user.

True

False

NO.93 An Einstein Analytics consultant is asked to add a new SalesTax field to a Product Sales dataset. The formula to calculate SalesTax is (SubTotal’CountyTax).
Which node should the consultant use in a Dataflow to calculate and insert SalesTax to the dataset?

append

computeExpression

augment

computeRelative

NO.94 An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

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

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

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

Bring Your Own Key is not supported.

NO.95 A small Business Intelligence team is overwhelmed with multiple requests to create new dashboards. An option is to use layout templates to help with dashboard development.
What are two advantages of using layout templates? Choose 2 answers

Layout templates are equipped with design best practice, such as optimally positioned KPIs and filters

Layout templates are fast to create because they are fixed and read-only

Layout templates offer a consistent end user experience

Layout templates offer a universal layout thus reducing the hours spent on design

NO.96 An Einstein Consultant needs to add some data values to an existing dataflow: a text field, a number (via a case statement), and a date (via SAQL).
In order to achieve this, which compute option should be used?

computeExpression

computeData

computeValue

computeField

NO.97 An Einstein Analytics team plans to enable data sync (replication).
Which two limits are specific to data sync (replication) and should be considered before enabling the feature because they might impact existing jobs?
Choose 2 answers

Maximum number of dataflow definitions

Maximum number of dataflow transformations

Maximum number of objects that can be enabled for data sync (replication)

Timeout for ELT (Extract Load Transform) jobs that are scheduled but not yet executed

NO.98 After getting approval of the dashboard layout design for a desktop, the Einstein Analytics consultant is ready to start the design process for a mobile layout.
What are three considerations that the consultant should keep in mind when developing the layout? Choose 3 answers

If no layouts are eligible for the mobile device, the first defined layout is used. (Missed)

If no layouts are eligible for the mobile device, an error message will be displayed.

If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used. (Missed)

A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.

There are widgets that cannot be displayed on mobile layouts.

NO.99 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?

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”.

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”.

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”.

NO.100 Exhibit:

Which two statements can be determined based on the Why it Happened graphic above’ Choose 2 answers

Germany performs lower than average but better when the product is Call Center.

The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.

Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.

Germany sells more Call Center product and that helps them increase their win rate.

NO.101 A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to “augment” the dataflow.
Which phrase describes this transformation?

Add data based on the right-side grain

Join data similar to an SQL statement

Add data as a lookup relationship (left side is the lowest grain)

Join data based on a many-to-many relationship

NO.102 The Vice President of Sales wants to create a “Pipeline Trending” dashboard in Einstein Analytics that displays specific colors depending on the values of the fields.
Which two techniques can a consultant use to help address this requirement? Choose 2 answers

Use an XMD file and assign colors to each field value.

Use SAQL queries to calculate a color field and assign it to each field value.

Use a compute Expression to calculate a color field and assign it to each field value.

Use the “fields” menu when exploring the dataset and assign colors to each field value.