What are two core design principles to consider when building Analytics apps or dashboards? Choose 2 answers

• A.Emphasis: make sure they have space for important information, such as headlines and key charts.
• B.Clarity: make sure they are uncluttered and easy to interpret.
• C.Consistency: make sure they have a sense of familiarity to strengthen your users' ease of use.
• D.Balance: make sure they have a balance of different charts to get a more interesting design.

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A dashboard dataset is growing and the Einstein Analytics consultant notices an impact on performance. The consultant needs to make a few adjustments.
Which three actions can the consultant take to improve dashboard performance? Choose 3 answers

• A.Use SAQL code to join datasets at runtime.
• B.Move calculations to a dataflow.
• C.Replace separate step filters with a global filter.
• D.Reorganize the dashboard widgets.
• E.Distribute steps among separate pages.

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An Einstein Analytics team created a funnel chart to show the number of opportunities in each stage. The managers who use the chart report that the funnel shows stages in alphabetical order instead of sales cycle order.
In which two ways can a consultant help them address this issue? Choose 2 answers

• A.Use a dataflow to sort the stages by their internal name.
• B.Use a dataflow to rename the stages with a preceding number.
• C.Use a dashboard JSON to rename stages.
• D.Use a dataset XMD to rename stages.

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A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
What solution should be recommended?

• A.Create two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as
  "viewer." Add the datasets as references to both custom apps.
• B.Create three custom apps: one for marketing dashboards with marketing as "viewer," one for sales dashboards with sales as
  "viewer," and one for datasets where marketing and sales are "viewer."
• C.Create one custom app for the datasets and share it with marketing and sales as "viewer."
• D.Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor."

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A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?

• A.computeExpression Transformation with SAQL Expression to calculate the duration
• B.flatten Transformation with Offset Expressions to calculate the duration
• C.computeRelative Transformation with offset parameter to calculate the duration
• D.computeRelative Transformation with SAQL Expression to calculate the duration

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