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Salesforce Building Lenses, Dashboards, and Apps in Tableau CRM Sample Questions (Q46-Q51):
NEW QUESTION # 46
The Einstein Analytics Plus Platform license is enabled for a Salesforce org and assigned to each user. However, these users cannot see the Einstein Analytics Studio in the App Launcher.
How can this issue be addressed?
- A. Create user accounts for the users in Einstein Analytics.
- B. Share the app with the users in Einstein Analytics.
- C. Assign the users to the permission set containing Manage Analytics.
- D. Assign the users to the permission set containing Use Analytics.
Answer: D
NEW QUESTION # 47
How do you analyze data from a CSV file using Einstein Discovery?
- A. Import the CSV file into an Einstein Analytics dataset, then create a story.
- B. Import the CSV file into Einstein Discovery.
- C. Import the CSV file into the most similar Salesforce object, then run reports on that object.
- D. You can't import data from a CSV file
Answer: A
NEW QUESTION # 48
A company uses role hierarchy to implement data security in Salesforce. They want the same role-hierarchy-based security model to apply in Einstein Analytics, but want the users in a role to see data owned by other users in the same role.
Using the "flatten" transformation, which attribute setting achieves this requirement?
- A. Set the attribute "selfjield" to false.
- B. Set the attribute "include_self_id" to false.
- C. Set the attribute "selfjield" to true.
- D. Set the attribute "include_self_id" to true.
Answer: D
Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_integrate_flatten_transformation_operation.htm&type=5
NEW QUESTION # 49
In an org, some of the Activity records do not have related Opportunity records. Additionally, there are Opportunity records that do not have related Activity records.
Which SAQL statement will fetch all Opportunities, even if they don't have associated Activities, and fetch related Activity data, if it exists?
- A. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';
- B. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;
- C. q = cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';
- D. q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';
Answer: C
Explanation:
Reference:
https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_saql.meta/bi_dev_guide_saql/bi_saql_statement_cogroup.htm
NEW QUESTION # 50
Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?
- A. Use the recipe node "delete" and set "userID" as the deletion ID.
- B. Use the combination of recipe transformations: "join" and "filter".
- C. Use the "update" transformation and utilize the "filter" node.
Answer: B
Explanation:
In CRM Analytics, when dealing with two datasets, such as Dataset A (activities) and Dataset B (users), and you want to delete records from Dataset A based on the users listed in Dataset B, you would typically use a combination of a join and filter transformation in a recipe. The join transformation allows you to combine data from both datasets based on the shared userID dimension, and the filter transformation would then be used to delete or exclude any activities from Dataset A that are associated with the users from Dataset B. This approach ensures that only relevant activities remain in Dataset A after filtering out the unwanted ones.
Reference: CRM Analytics Recipes: Join and Filter Transformations
NEW QUESTION # 51
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