Question 1

A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?

Options :

A : Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.

B : Use the credit card company-s domain knowledge and exclude the third-party payment app from the story.

C : Explain to the company that the story has returned unbiased results and the initial assessment is accurate.

D : Ask the credit card company for a more comprehensive dataset to analyze.

Answer: C

Question 2

Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org. Which CRM Analytics user interface features should be used to complete these requirements?

Options :

A : Analytics REST API used in conjunction with dataflows/recipes.

B : Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes

C : CRM Analytics Connector for Excel used in conjunction with dataflows/recipes

Answer: B

Question 3

What's the magic of faceting?

Options :

A : It binds charts together so that selecting something in one chart filters other charts by that choice.

B : It shifts the time period of the chart you're viewing.

C : It turns the dataflow on and off.

D : It creates a chart that shows all the faces of your data in a diamond chart.

Answer: A

Question 4

The Tableau CRM team at a company creates three recipes. 1) myRecipeOne: this recipe takes 2 hours to run.

2) mvRedpeTwo: this recipe takes 1 hour and 30 minutes to run. 3) myRecipeThree: this recipe takes 1 minute and 30 seconds to run. If all three recipes run, how many count towards the 24 hour rolling recipe run limit.

Options :

A : 2

B : 1

C : 0

D : 3

Answer: A

Question 5

A Tableau CRM consultant decides to use a recipe to create a new dataset.

Which two source types can be used for the recipe?

Choose 2 answers

Options :

A : Existing datasets

B : Records from a Salesforce object

C : Dataset lens

D : Connected data(Synced)

Answer: A,D

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