A client has a dataset comprised of Opportunity data and Opportunity Line level data. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.
What must be done to the dataset to achieve this goal?

1. A. Select the isWon = True outcome variable and generate the story.
2. B. Filter to only look at isWon = True records to avoid skewing the results.
3. C. Click Create Story and Einstein will take care of the rest.
4. D. Change the grain by removing the line level detail as it will skew the win rate.

Correct Answer: C

A consultant created a dashboard using Einstein Analytics for her client, a shipping company. It sources data from very large datasets. Now the client has requested that the consultant add more steps to the dashboard.
To ensure that the dashboard has acceptable performance, what two actions should the consultant take? Choose 2 answers

1. A. Check if any steps can be reused for multiple purposes.
2. B. Replace AggregateFlex steps with SAQL steps.
3. C. Split the steps and charts into different pages in a dashboard.
4. D. Avoid using conditional formatting.

Correct Answer: AC

What are the 3 basic actions within aquery in Analytics? Choose 3:

1. A. Aggregate by a measure
2. B. Count rows by measure you want to visualize.
3. C. Filter to narrow down your results.
4. D. Grouping by a dimesnsion
5. E. Display the results graphically

Correct Answer: ACD

Exhibit:

Universal Containers has a Sales Manager dashboard. They need to build a table as shown in the graphic and calculate the summary as the first line in a compare table.
How can the summary be calculated'

1. A. Use the ShowSummary option in the compare table.
2. B. Add a formula field to calculate the summary.
3. C. Use a SAQL query since the summary is not available in standard interface.
4. D. Create a computeExpression field in the Dataflow to calculate the summary.

Correct Answer: A

In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.
When you select one variable, what are you comparing?

1. A. Selected variable with CLV
2. B. Selected variable average with the mean
3. C. Selectedvariable with a different variable
4. D. Selected variable average with the filtered average
5. E. Selected variable with all story data

Correct Answer: E