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NEW QUESTION # 45
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
What can the consultant do to give the Sales team more choices and options with future apps that are generated from the Sales Operations app'
Answer: D
Explanation:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_in_action
NEW QUESTION # 46
A CRM Analytics administrator is working on deploying a dataflow and a dataset (generated by this dataflow) to another org.
While creating a change set, they notice that the components are NOT visible to be included in the change set.
What is the reason for this?
Answer: C
NEW QUESTION # 47
Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?
Answer: C
Explanation:
CRM Analytics provides out-of-the-box connectors for integrating external data sources like Microsoft Azure SQL Data Warehouse. To meet the requirement of daily automated data loading, the Microsoft Azure SQL Data Warehouse Connector can be used to pull data into CRM Analytics. Once the data is imported, dataflows or recipes can be used to transform and merge this data with the organization's Salesforce data. Recipes allow for merging datasets and applying any necessary transformations, ensuring the data from Azure is combined and transformed appropriately before analysis.
Reference: CRM Analytics Connectors and Dataflows
NEW QUESTION # 48
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?
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 # 49
Universal Containers has a single dataset that contains the attainment and commission fields for all sales reps.
Each sales rep should be able view the attainment data for each rep in their division. Each repshould only be able to see their own commission data.
Which option should a CRM Analytics consultant use to enforce this requirement?
Answer: B
NEW QUESTION # 50
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