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Salesforce Tableau CRM Einstein Discovery Consultant (SU24) Questions and Answers

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Viewing questions 51-60 out of questions

Questions # 51:

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

Options:

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, anerror 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 devicemeets all the device properties set in the Layout panel.

There are widgets that cannot be displayed on mobile layouts.

Answer

A, C, D

Explanation

When developing a mobile layout for an Einstein Analytics dashboard, the consultant should consider:

A: If no layouts areeligible for the mobile device, the first defined layout is used. This ensures that there is always a fallback layout if none of the other defined layouts meet the device properties.

C: 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. This helps in choosing the most optimized layout for the device, enhancing user experience.

D: A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel. This consideration is crucial for ensuring that the layout displayed is suitable for the device’s capabilities and screen size.

[Reference: https://help.salesforce.com/, , https://trailhead.salesforce.com/en/content/learn/modules/wave_dashboard_designer_basics/wave_take_analytics_on_the_go]

Questions # 52:

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?

Options:

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 thanproduct names to increase clarity.

Answer

Explanation

[Reference: Salesforce Einstein Discovery Best Practices, ]

Questions # 53:

What does Einstein Analytics check when a user submits a query against a dataset?

Options:

Whether the user has access to the app

Which fields the user has access to

If the userhas access to the dataset

Which rows the user has access to

Answer

Explanation

[Reference: Salesforce Documentation on Security in Analytics]

Questions # 54:

An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.

Which solution should the consultant implement to help improve data sync (replication) performance?

Options:

Modify dataflows to exclude unused fields and include a filter to extract relevant data.

Scale down the number of datasets to help improve data sync (replication) performance.

Start over again with new dataflows that exclude unusedfields with a filter to extract relevant data.

Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.

Answer

Explanation

To address the performance issue with data sync (replication) caused by unnecessary data being synced, the consultant should:

D: Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data. This approach minimizes the data volume being synchronized by focusing only on relevant fields and records, thereby improving the performance of the data sync processes.

[Reference: https://help.salesforce.com/, ]

Questions # 55:

The Einstein Analytics Plus Platform license is enabled for aSalesforce org and assigned to each user. However, these users cannot see the Einstein Analytics Studio in the App Launcher.

How can this issue be addressed?

Options:

Share the app with the users in Einstein Analytics.

Create user accounts for the users inEinstein Analytics.

Assign the users to the permission set containing Use Analytics.

Assign the users to the permission set containing Manage Analytics.

Answer

Explanation

[Reference: Salesforce Documentation on Permission Sets]

Questions # 56:

An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?

Options:

Show the customer how to export and review the R-Code model validation results

Check the p-values and standard deviation

Use the Share and Export feature to help the customer determine if the findings make logical sense

Consult with a Data Scientist to validate the findings

Answer

Explanation

When validating the "Why it Happened" Insights provided by Einstein Discovery, the most appropriate action for a consultant to take is to review the p-values and standard deviations associated with the insights. These statistical measures indicate thereliability of the insights and whether they are statistically significant. By examining these values, the consultant and customer can better understand the robustness and credibility of the insights.

[Reference: Salesforce Help Documentation, ]

Questions # 57:

Which permission gives you view-only access to Analytics?

Options:

Use Analytics

Manage Analytics

Create and Edit Analytics Dashboard

None of above

Answer

Explanation

[Reference: Salesforce Documentation on Permissions]

Questions # 58:

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that cityspecifically.

What two conclusions can be drawn from this insight?

Options:

The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.

November sales are higher than in other months. This November-effect is thestrongest in San Francisco.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country

Answer

A, C

Explanation

From the description of the tooltip and the insight provided:

A is correct because it specifically compares the average daily sales in San Francisco to a global average, showing asignificant difference.

[Reference: https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_dataset_design/wave_analytics_dataset_design_story, ]

Questions # 59:

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 fromthese sources.

What is the maximum number of dataflow definitions available in this situation?