Tableau-CRM-Einstein-Discovery-Consultant Certification Overview - [Feb 16, 2024] Latest Tableau-CRM-Einstein-Discovery-Consultant PDF Dumps [Q136-Q154]

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Tableau-CRM-Einstein-Discovery-Consultant Certification Overview – [Feb 16, 2024] Latest Tableau-CRM-Einstein-Discovery-Consultant PDF Dumps

The Best Salesforce Tableau-CRM-Einstein-Discovery-Consultant Study Guides and Dumps of 2024

Salesforce Tableau CRM Einstein Discovery Consultant exam is a certification exam designed to test an individual’s knowledge and expertise in implementing and configuring Tableau CRM (formerly known as Einstein Analytics) and Einstein Discovery. Tableau-CRM-Einstein-Discovery-Consultant exam is intended for professionals who have a strong background in Salesforce and data analytics, and who are looking to extend their skills to include Tableau CRM and Einstein Discovery.

第 136 号 The Tableau CRM team at a company has created three dataflows.
myDataflowOne: this dataflow tasks 2 hours to run.
myDataflowOne: this dataflow tasks 1 hours and 30 minutes to run
myDataflowOne: this dataflow tasks 1 minute and 30 seconds to run.
If all three dataflows run, how many count towards the limit?

NO.137 You can get data into Einstein Discovery:

By connecting a USB drive to your laptop

By using an Einstein analytics dataset

Only if your database administrator does it for you

Only if Salesforce does it for you

https://trailhead.salesforce.com/content/learn/modules/wave_exploration_smart_data_discovery_basics/wave_get_smart_data_discovery_and_data

NO.138 Exhibit:

Universal Containers has a Sales Manager dashboard. They need to build a table as shown in the graphic and calculate the summary as the first line in a compare table.
How can the summary be calculated’

Use the Show Summary option in the compare table.

Add a formula field to calculate the summary.

Use a SAQL query since the summary is not available in standard interface.

Create a computeExpression field in the Dataflow to calculate the summary.

NO.139 When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story’5

No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.

No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.

yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.

Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

NO.140 A story created has an AUC of .62.
What two things could be done to possible improve this AUC score?
Choose 2 answers

Segment the training set.

Change the order of the story insights to descending.

Run detect sentiment on the dataflow before creating the story.

Add more rows of relevant data.

NO.141 When you set up Analytics, which of the following features can you enable?

Low-fuel notifications

Sharing of apps with Communities

Access to the API

A and B

B and C

Community member should have assigned:
– ‘Analytics for Communities’ permission set license – a permission set that includes the ‘View Analytics on Communities pages’ Its possible to access API.
– for a user: API Enabled permission
– for all: Analytics =>Settings=>Grant all users access to Wave API for all users

NO.142 A company’s Salesforce org has multi-currency enabled. This company’s business intelligence team used Einstein Analytics to build a dataflow that creates a dataset, “OpportunityDataSet”. This dataset is populated with data extracted from the standard object, Opportunity. One of the extracted fields is the standard field, Amount.
If a user explores the “OpportunityDataSet” in Einstein Analytics, in which currency will the Amount values be shown?

In the connected user’s currency

In the integration user’s currency

In the currency that is set on the “currency” attribute in the dataset

In the currency that is set on the “currency” attribute in the dataflow

https://salesforce-trailblazer.com/einstein-analytics-multi-currency/

NO.143 Exhibit:

Universal Containers has a Sales Manager dashboard. They need to build a table as shown in the graphic and calculate the summary as the first line in a compare table.
How can the summary be calculated’

Use the Show Summary option in the compare table.

Add a formula field to calculate the summary.

Use a SAQL query since the summary is not available in standard interface.

Create a computeExpression field in the Dataflow to calculate the summary.

NO.144 An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fields does not return values when it is queried.
What can be the origin of this issue7

The field does not contain any data in Salesforce.

The user who runs the dataflow does not have access to the field.

The “Integration User Profile” does not have access to the field.

The “”Security User Profile” does not have access to the field.

NO.145 A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?

Remove the outlier rows.

Nothing, because the field is not the outcome variable.

Change the method of binning to fixed width.

Remove the field because it has bad data

NO.146 A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources- The consultant enabled data sync (replication) to increase the speed of data refreshing from these sources.
What is the maximum number of dataflow definitions available in this situation?

Reference:
https://help.salesforce.com/articleView?id=bi_limits.htm&type=5

NO.147 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.

NO.148 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

Reference:
https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_rest.meta/bi_dev_guide_rest/bi_resources_templates.htm

NO.149 A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.
What conclusion can be drawn from this insight?
What conclusion can be drawn from this Insight?

Of all promotions types in San Francisco, sales were the highest using Display promotion.

Promotions increase sales stronger in San Francisco than they do in other cities.

The best promotion type is Display.

The Other stores (visualized with the gray bars) show no significant data for the sales promotions.

NO.150 Why is it important to select the right root object when you use the dataset builder?

The root object determines who can see the dataset.

Only data from the root object can be included in the dataset.

The root object determines what related objects you can add to the dataset.

The root object determines what app the dataset is saved in.

NO.151 A Tableau CRM consultant has just completed deployment of an analytic app containing a recipe plus several datasets and dashboards. While conducting post deployment a smoke test, the new datasets don’t seem to have migrated.
What post migration step has likely been forgotten?
What post migration step has likely been forgotten?

Apply security predicates on datasets

Run the recipe

Provide read access on the datasets

Go to Analytics Settings in Setup and approve the deployment

NO.152 What does the Division is Naval section of the waterfall graph tell you?

How combinations of factors affect the CLV for Naval customers

How individual factors separately affect the outcome for Naval customers

What the relationship is between significant and insignificant factors as they impact CLV for Naval customers

How the chosen variable is related to all other factors in the model for Naval customers

https://trailhead.salesforce.com/en/content/learn/modules/dm_einstein_discovery_advanced_stories/dm_understand_why_it_happened_insights

NO.153 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

NO.154 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

https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_rest.meta/bi_dev_guide_rest/bi_resources_templates.htm

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The Salesforce Tableau CRM Einstein Discovery Consultant certification exam tests the candidate’s knowledge of data analysis, data modeling, and machine learning concepts. It evaluates the candidate’s ability to implement best practices for designing and building data models, create and customize dashboards, and build predictive models using Einstein Discovery. Successful candidates will have demonstrated proficiency in designing and implementing data-driven solutions that meet business requirements.

Valid Tableau-CRM-Einstein-Discovery-Consultant Exam Updates – 2024 Study Guide: https://www.real4prep.com/Tableau-CRM-Einstein-Discovery-Consultant-exam.html

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