Get Ready with Tableau-CRM-Einstein-Discovery-Consultant Exam Dumps (2023) [Q133-Q157]

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Get Ready with Tableau-CRM-Einstein-Discovery-Consultant Exam Dumps (2023)

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Q133. A company asks a Tableau CRM consultant to review the performance of their local data sync.
After removing unused objects and fields from connected
data, what else can the consultant do to improve performance of data sync”*

Enable fast sync in analytics settings

Contact Salesforce support to Increase sync speed

Evaluate connection mode for each connected object

Merge synced objects

Q134. 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?

Storage rows of data

Salesforce external connector number of synced rows

Total number of enabled objects

Snowflake connector number synced rows

Q135. Max Analytics API calls per user per hour

50,000

10,000

5,000

100,000

Q136. A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?

This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.

Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.

Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.

Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.

Q137. Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.

Cancel this story and redefine the dataset.

Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.

Do nothing; they appear to be similar, but there might be differences from the business perspective.

Q138. You are asked to update and maintain your company’s Einstein Analytics dashboards.
A request comes in for one of the dashboards that contains steps from different datasets. The request is to make it possible for a table from one dataset to be filtered by the results of a chart from another dataset. Your solution is to create a results binding.
Which three steps should you implement to create the binding?

Look up the API name of the filtering field

Look up the API name of the source field

Find source and target step names

Configure the results binding on the target step in the dashboard JSON.

Q139. An Einstein Consultant receives a request from the Marketing department to help them understand lead conversion. Presently, they are unaware of the percentage of leads that get converted to sales. They hope to view results by account manager, value, and quarter. The data is there, so the consultant can add it to the marketing dashboard.
How should this metric be calculated?

Create a new step in the dashboard using a compare table and define a formula.

Create a formula field on the lead object in Salesforce and add it to the dataset.

Create a computeExpression in the dataflow.

Create a new step in the dashboard using a compare table and the running total function.

Q140. A consultant created an Einstein Analytics dashboard in a sandbox. Now, the dashboard needs to be migrated into production.
To complete the migration, what are the consultant’s three options? Choose 3 answers

Ant Migration Tool

Analytics External Data API

Analytics REST API

Change sets

Analytics dashboard connector

Q141. 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.

Q142. Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.

Cancel this story and redefine the dataset.

Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.

Do nothing; they appear to be similar, but there might be differences from the business perspective.

Q143. What happens if you first disable Analytics, and then you re-enable Analytics later? Select 2

User permissions are removed from each defined permission set if Analytics is disabled. (Missed)

User permissions are not removed from each defined permission set if Analytics is disabled.

You must define the permission sets again if Analytics is re-enabled. (Missed)

You must not define the permission sets again if Analytics is re-enabled.

Q144. A consultant built a very useful Einstein Analytics app for Sales Operations, and they want to share its contents with the rest of Global Sales. However, they do not want to add everyone in Sales to their app. The consultant recommends extending the Sales Operations app and distributing it as an Einstein Analytics template app, but needs to locate specific information to get started.

Given the code statement above, which endpoint should it be posted to?

/services/data/v . /wave/apps

/services/data/v . /analytics/wizard

/services/data/v . /wave/templates

/services/data/v . /analytics/projects

Q145. Why would you use a merge key in a dataset recipe?

To find out what the merge icons represent in a dataset

To schedule when a dataset recipe runs

To join related data from different sources

To deal with duplicate records

Q146. In the context of Analytics, what is faceting?

Representing the number of widgets on a dashboard

Filtering all related widgets in a dashboard by your selection

Something only programmers can access

Measuring the number of significant digits of precision for a particular metric

Choosing the color of the background in a graph

Q147. Which of the following are included in the template object?

ui.json

app.json

variables.json

A,B and C

A,C

Q148. Einstein Discovery gives you several different kinds of recommended insights. Which of these insights is descriptive?

What Happened

Why It Happened

Predictions & Improvements

What Is the Difference

Q149. 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?

Split the analysis into multiple models will each having fewer products

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

Run the model using the default variables in the Product object

Use SKU numbers rather than product names to increase clarity.

Q150. What is a valid permission for a permission set?

Enable Parental Control

Always Sign Me Up for Dreamforce

Sales Analytics Apps

Access Sales Cloud Analytics Templates and Apps

Q151. Permissions of which 2 internal users are used by Analytics to gain access to Salesforce data?

Each user has a corresponding Profile assigned (Analytics Cloud Integration User and Analytics Cloud Security User profiles).

When you query a dataset that has row-level security based on the User object, Analytics uses the permissions of the Security User to access the User object and its fields.

Analytics uses the permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow job runs.

Q152. Salesforce Analytics is…

An application built on top of Salesforce

A tool for analyzing surf reports and forecasts

A CRM alternative to Salesforce

An online repository of infographics

Q153. A dashboard dataset is growing and the Einstein Analytics consultant notices an impact on performance. The consultant needs to make a few adjustments.
Which three actions can the consultant take to improve dashboard performance? Choose 3 answers

Reorganize the dashboard widgets.

Distribute steps among separate pages.

Use SAQL code to join datasets at runtime.

Replace separate step filters with a global filter.

Move calculations to a dataflow.

Q154. What are two benefits of designing using the “Progressive Disclosure” principle? Choose 2 answers

improved ease of use for end users

Discounted EA licenses when growth is achieved

Automatic conditional formatting

Better dashboard performance

Q155. Is there a need for a separate Permission Set Licence for an Analytics app?

Yes

Q156. When organizing information in an Einstein Analytics dashboard, what does the “Progressive Disclosure’ design principle mean’

Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.

Utilize the latest templates for the most modern look and feel.

Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.

Implement strict security predicates to minimize the amount of information displayed to users.

Q157. Where can you view the status of a CSV upload in Analytics?

The data manager

The Analytics home page

The Create Dataset page

The Setup menu

Salesforce Tableau CRM Einstein Discovery Consultant exam tests candidates on various topics, including data modeling, data preparation, data visualization, and predictive modeling. Candidates are expected to have a deep understanding of Tableau CRM and Einstein Discovery, as well as experience in implementing these solutions in real-world scenarios. Tableau-CRM-Einstein-Discovery-Consultant exam is designed to validate the skills and knowledge required to design, implement, and optimize Tableau CRM and Einstein Discovery solutions that meet client needs.

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