Einstein Flashcards

1
Q

What needs to be done first before enabling bots in Salesforce?

A
  1. Make sure the Org has a Service Cloud License from Salesforce (not necessary for Trailhead Playgrounds).
  2. Set up Salesforce sites.
  3. Launch Service Setup, and run the Chat guided setup flow.
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2
Q

Which terms are important to know before you build your Einstein bot?

A
  1. Dialog
  2. Dialog Intent
  3. Entity
  4. Variable
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3
Q

How do you provide Einstein Discovery with the data to analyze?

A. Link to a dashboard

B. Populate a spreadsheet

C. Populate a CRM Analytics dataset

D. Point to a CSV file

A

C. Populate a CRM Analytics dataset

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4
Q

What does Einstein Discovery use to get predictions and improvements?

A. Insights

B. Model

C. Dashboard

D. Crystal ball

A

B. Model

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5
Q

What are the advantages to holding a premortem?

A. Learn from past mistakes, celebrate successes, provide closure to a project.

B. Identify potential risks in a project.

C. Foster open communication with the team.

D. A and C

E. B and C

A

B. Identify potential risks in a project.

C. Foster open communication with the team.

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6
Q

Which of the following is a result of association bias?

A. Men being labeled as doctors and women being labelled as nurses in a dataset

B. An image of an orange cat being predicted to be a coyote because all the coyotes in the dataset were orange and none of the cats were orange

C. A person being denied a loan because the system inaccurately predicted they would be unable to repay it

D. A company hiring only candidates from a particular university because it currently has successful employees from that university

A

A. Men being labeled as doctors and women being labelled as nurses in a dataset

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7
Q

How can bias enter a system?

A. Through the values or assumptions of the creators

B. From the training data

C. From spending too much time on the project

D. A and B

A

A. Through the values or assumptions of the creators

B. From the training data

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8
Q

What three common use cases can Einstein Discovery help a business with?

A
  1. Regression: Regression for numeric outcomes represented as quantitative data (measures), such as currency, counts, or any other quantity. For example, Einstein Discovery can help you with the monetary value of your opportunities.
  2. Binary classification: Binary outcomes for text data with only two possible results. These are typically yes/no questions that are expressed in business terms. For example, Einstein Discovery can help you win opportunities.
  3. Multiclass classification: Outcomes with 3 to 10 possible results, represented as text data. For example, a multiclass model can help you predict the most likely next stage for an opportunity: whether it proceeds to the next stage, goes back to a previous stage, or even skips a stage.
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9
Q

For Einstein Discovery solutions, what is the first step?

A

Select a business problem you want to solve. (KPI) key performance indicators

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10
Q

Einstein Discovery addresses which kind of use case?

A. Binary outcomes

B. Predetermined outcomes

C. Unrealistic outcomes

D. Numeric outcomes

E. A and D

A

A. Binary outcomes

D. Numeric outcomes

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