A company created a dataset called myExternalDataset. It contains a dimension, called UserRegion, that is populated by the standard User object's picklist: Region.
The company has security requirements for this dataset:
1. Only a subset of users should be able to access the dataset.
2. Users who can access the dataset should see only data that belongs to their region.
In which two ways can an Einstein Analytics consultant help them implement these requirements? Choose 2 answers

• A.Save the dataset under a new application and give "viewer" access to a public group containing the list of users allowed to see the dataset.
• B.Create a sharing rule in Salesforce based on the Region field in the user object and set the dataset to inherit sharing from Salesforce.
• C.Use a security predicate in the dataset so users can see only rows belonging to their respective regions.
• D.Save the dataset under "My Private App" so only a subset of selected users can access the dataset.

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The client is trying to create a SAQL step to predict sales in each sales region. They cannot get the query to return any results, but have identified that the error is in the time series statement. They have asked an Einstein Consultant to review the following query and fix any errors.

Which timeseries statement will fix the query'

• A.q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter',
  "Y-Q"), partition=Region', ignoreLast=true);
• B.q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter',
  "Y-Q"), partition='Region', seasonality=4);
• C.q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year',
  'Date_Month". "Y-M"), partition='Region');
• D.q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter',
  "Y-Q"), partition='Region');

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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

• A.Enable the option "Apply filters from faceting" in the step "Step_pie_1."
• B.Use selection binding in the filters section of the step "Region_1."
• C.Use selection binding in the filters section of the step "Step_pie_1."
• D.Enable the option "Apply filters from faceting" in the step "Region_1."

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

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The Universal Containers Einstein Analytics team built a dashboard with two widgets:
1. List widget associated to the step "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Pie chart widget associated to the step "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings so any selection in the List widget will filter the Pie chart.
Additional notes:
* The steps use different datasets.
* Users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding?
A)

B)

C)

D)

• A.Option D
• B.Option C
• C.Option B
• D.Option A

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