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Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Test - Questions Answers, Page 24

Question list

List of questions

Question 231

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After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high? What is the most likely multiple for this?

Question 232

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Universal Containers has a Dashboard for Sales Managers. They need to visualize their win rate. Which chart type can be used to keep track if they are below of beyond the target?

Question 233

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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,

Question 234

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A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?

Question 235

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A story has been deployed to the Opportunity object with a prediction field, Predicted Amount. How can all the Opportunity records be predictions written back to the Predicted Amount field?

Question 236

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Universal Containers is evaluating the connection mode for the objects in their local Salesforce connector. They want to only sync updated and new records from the Order object, but they have some f

Question 237

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A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with th

Question 238

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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 do

Question 239

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Universal Containers reports that nay selection in the List widget is not affecting the pie chart in one of their tableau CRM dashboard. They query options associated with the List widget and Pie ch

Question 240

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A consultant wants to understand what the important predictors are in the story. What are two places where this information can be found? Choose 2 answers

Question 231

After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high?

What is the most likely multiple for this?

The dataset contains multiple dominant values.

The dataset contains too many rows.

The dataset used in the story suffers from too many outlier values.

The outcome variable is causing data leakage.

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Question 232

Universal Containers has a Dashboard for Sales Managers. They need to visualize their win rate.

Which chart type can be used to keep track if they are below of beyond the target?

Gauge

Line

Metric Radar

Heatmap

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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 city specifically.

What two conclusions can be drawn from this insight?

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 the strongest 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

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Question 234

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

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Question 235

A story has been deployed to the Opportunity object with a prediction field, Predicted Amount.

How can all the Opportunity records be predictions written back to the Predicted Amount field?

Mass edit all the records by populating the Predicted Amount field.

Use the Prediction Service API to get the prediction and populate the Predicted Amount field.

Enable a Bulk Scoring Job under the Prediction Definition.

Open all Opportunity records.

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Question 236

Universal Containers is evaluating the connection mode for the objects in their local Salesforce connector. They want to only sync updated and new records from the Order object, but they have some formula fields on the object and want to ensure those are updated weekly.

which

Which connection mode is best suited for this purpose?

periodic Incremental Sync

Full Sync

Periodic Full Sync

Incremental Sync

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Question 237

A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace.

What can the consultant do to increase adoption?

Create 4 analytics lenses and embed them onto the account record page

Create datasets for account managers to explore

Create a dashboard and embed it onto the account record page with a filter based on the viewed account

Create a dashboard and embed onto the account record page

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Question 238

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?

Apply security predicates on datasets

Run the recipe

Provide read access on the datasets

Go to Analytics Settings in Setup and approve the deployment

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Question 239

Universal Containers reports that nay selection in the List widget is not affecting the pie chart in one of their tableau CRM dashboard. They query options associated with the List widget and Pie chart are shown in the graphic

Which change can a Tableau CRM Consultant implement to solve this issues, given that the queries are using the same dataset?

Set faceting to All instead of None in the query ''Step_pie_1.''

Use result binding/interaction in the filters section of the query ''Step_pie_1.''

Set faceting to all instead of None in the query ''Region_1.''

Use selection binding/interaction in the filters section of the query ''Region_1.''

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Question 240

A consultant wants to understand what the important predictors are in the story.

What are two places where this information can be found?

Choose 2 answers

In the Einstein Recommendations for story improvement. If there are no recommendation to remove strongest predictors, the story doesn't hold any Important predictors but only weak (probably unrelated) terms.

In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.

In the Model Deployment Wizard while selecting the actionable fields

In the Model Metrics section, where the top predictors are listed

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Total 242 questions