Question 1

You can get data into Einstein Discovery:

Options :

A : By connecting a USB drive to your laptop

B : By using an Einstein analytics dataset

C : Only if your database administrator does it for you

D : Only if Salesforce does it for you

Answer: B

Question 2

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?

Options :

A : The dataset contains multiple dominant values.

B : The dataset contains too many rows.

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

D : The outcome variable is causing data leakage.

Answer: A

Question 3

The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.Where is an edgemart transformation specified?

Options :

A : Dataflow Editor

B : Recipes Editor

C : Step Editor

D : Settings

Answer: A

Question 4

Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers

Options :

A : Use selection binding in the filters section of the step 'Step_pie_1.'

B : Enable the option 'Apply filters from faceting' in the step 'Region_1.'

C : Enable the option 'Apply filters from faceting' in the step 'Step_pie_1.'

D : Use selection binding in the filters section of the step 'Region_1.'

Answer: A,C

Question 5

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?

Options :

A : Set faceting to All instead of None in the query “Step_pie_1.”

B : Use result binding/interaction in the filters section of the query “Step_pie_1.”

C : Set faceting to all instead of None in the query “Region_1.”

D : Use selection binding/interaction in the filters section of the query “Region_1.”

Answer: A

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