CRM-Analytics-and-Einstein-Discovery-Consultant 無料問題集「Salesforce Certified CRM Analytics and Einstein Discovery Consultant」
Universal Containers wants to create two dashboards and has two user groups. The 'Regional Performance' dashboard should be accessible to sales reps and managers/executives to keep track of how sales reps are performing in each region. Sales reps must only be able to see data pertaining to their respective region. The 'National Performance' dashboard is using the same data as the other dashboard but should only be accessible to managers/executives to compare data across all regions.
In addition to row-level security to view only regional data, how should a consultant ensure that sales reps are unable to view the 'National Performance' dashboard?
In addition to row-level security to view only regional data, how should a consultant ensure that sales reps are unable to view the 'National Performance' dashboard?
正解:B
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The below image shows a numeric outcome being deployed (Regression).

Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?

Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
正解:A
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解説: (JPNTest メンバーにのみ表示されます)
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?
正解:C
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解説: (JPNTest メンバーにのみ表示されます)
A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data wasuploaded successfully. Upon analyzing the data using a lens, they find they are unable to perform any mathematical operations as all the data and fields are treated as dimensions.
What is causing the problem?
What is causing the problem?
正解:A
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Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice versa. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice versa. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?
正解:A
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Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?
How should a consultant help UC deploy the three Einstein models to Salesforce?
正解:A
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解説: (JPNTest メンバーにのみ表示されます)