Tableau-CRM-Einstein-Discovery-Consultant Dumps Updated Dec 31, 2022 Practice Test and 210 unique questions [Q115-Q134]

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December 31, 2022

Tableau-CRM-Einstein-Discovery-Consultant Dumps Updated Dec 31, 2022 Practice Test and 210 unique questions [Q115-Q134]

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Tableau-CRM-Einstein-Discovery-Consultant Dumps Updated Dec 31, 2022 Practice Test and 210 unique questions

2022 Latest 100% Exam Passing Ratio – Tableau-CRM-Einstein-Discovery-Consultant Dumps PDF

Q115. When Analytics runs a dataflow that accesses Salesforce objects, which user does it use?

The current user

The system administrator

The Integration User

The record owner

Q116. Which set of statements generates monthly amount on a cumulative basis annually?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

Q117. To see predictive insights, what option do you select in the Story toolbar?

What Changed Over Time

How Can I Improve It

Predictions & Improvements

Why It Happened

What Happened

Q118. To use the Sales Analytics app, which permission set license do you need?

Sales Wave

Sales Analytics Apps

Analytics Templated Apps

Security User

Reference:
Each prebuilt Analytics app has its own PSL. When you set up permissions for those apps, select the right PSL. For Service Analytics, select “Service Analytics Apps.” For Event Monitoring, select “Event Monitoring Analytics Apps,” and so on.

Q119. Concurrent queries per user?

Q120. In Einstein Analytics, which node is used in a dataflow to extract data from a registered dataset?

sfdcDigest

digest

export

edgemart

Q121. An Einstein Analytics team wants to create a dashboard using two standard Salesforce objects. The dashboard should display data from the Case object, along with related data from the Account object. Which two processes can achieve this?

Extract data from the case and account objects using “sfdcDigest” transformation, Q use “append” transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset

Extract data from the case and account objects using “sfdcDigest” transformation, y/ Q use “augment” transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

Extract data from the case and account objects using “dataloader”, create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset

Q122. Default rows in values table

100

200

Q123. Max number of dataflow definitions (with data sync enabled)

Q124. Which of the following is true about the Service Analytics Overview dashboard?

It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.

It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.

It’s available on desktop and mobile.

It’s a great place to start your analysis.

All of the above.

Q125. Yasmine wants to create a lens with the Seed Bank Orders dataset, but she currently doesn’t see any rows in the dataset. Since Yasmine is Hadiqa’s manager, Yasmine asks Hadiqa if she’s experiencing the same problem, but Hadiqa replies that she can see all the rows. Why is this happening?

The dataset’s security predicate was set up incorrectly.

Yasmine doesn’t have the Manager app role.

Yasmine wasn’t assigned a permission set.

Yasmine doesn’t have the Create and Edit Analytics Dashboards permission.

Q126. In what order does Einstein Discovery present the insights that it uncovers?

Alphabetical, in ascending order

Alphabetical, in descending order

Insights that explain the most variation in the outcome variable, in ascending order

Insights that explain the most variation in the outcome variable, in descending order

B and D

Q127. A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
What solution should be recommended?

Create two custom apps: one for marketing dashboards with marketing as “viewer” and one for sales dashboards with sales as
“viewer.” Add the datasets as references to both custom apps.

Create three custom apps: one for marketing dashboards with marketing as “viewer,” one for sales dashboards with sales as
“viewer,” and one for datasets where marketing and sales are “viewer.”

Create one custom app for the datasets and share it with marketing and sales as “viewer.”

Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as “editor” and one for sales dashboards and datasets with sales as “editor.”

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

Q128. What are the two types of bindings? Choose 2:

Results binding

Data bindings

Description bindings

Selections bindings

Q129. How can you restrict access to Analytics data at the row level?

Manually add a flag to each row to prevent access.

Use a security predicate to filter which rows are returned.

Use subtle thought control.

Remove restricted rows from the JSON file.

Reference:
Predicate is a name for a filter condition that defines row-level access to records in a dataset Example: “rowLevelSecurityFilter”:”‘AccountOwner’ == \”$User.Name\””

Q130. Can you share data from a widget?

No, you can’t share data from a widget.

Select the step of the widget and share data.

Select “Share” icon, click on “Download”, and select “Download in .png, .XLS, or CSV” format.

Only with the proper Einstein Analytics Platform license.

Q131. Refer to the graphic.

Which conclusion can be made regarding the strength of the model shown?

The model is very strong. A GINI coefficient of .535 shows that this model is very effective.

The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.

The strength of the model cannot be determined with the metrics shown.

The model is very weak and doesn’t provide useful predictions due to the low threshold.

Q132. Creating an Einstein Discovery story involves:

Selecting a Dataset in Einstein Analytics, then clicking Create Story

Copying text from company reports and pasting into Einstein Discovery

Uploading a Microsoft® PowerPoint® presentation

Entering notes about the data

Q133. How do you open the Actions menu for a particular case shown in a dashboard?

Click the Actions bar from a bubble chart

Hover over the case number column of the values table widget and click the arrow that appears

Double-click the case number in the Actions widget

Simply @mention the case manager for that segment

Q134. 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

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Tableau-CRM-Einstein-Discovery-Consultant Practice Tests

Tableau-CRM-Einstein-Discovery-Consultant Dumps Updated Dec 31, 2022 Practice Test and 210 unique questions [Q115-Q134]

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Tableau-CRM-Einstein-Discovery-Consultant Dumps Updated Dec 31, 2022 Practice Test and 210 unique questions [Q115-Q134]

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