Analytics-Con-201熱門考題，Analytics-Con-201信息資訊

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Discovery20%- Describe Einstein Discovery concepts
  • 1. Identify the use cases for Einstein Discovery
  • 2. Interpret model results
  • 3. Explain the model building process
- Implement Einstein Discovery
  • 1. Integrate predictions into CRM Analytics dashboards
  • 2. Configure and deploy Einstein Discovery models
Security10%- Determine security and sharing settings
  • 1. Describe how Salesforce security is applied in CRM Analytics
  • 2. Implement row-level security
Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Apply query filters
  • 2. Set up dynamic dashboards
  • 3. Configure bindings
Data Layer25%- Identify the right data sources and data flows for CRM Analytics
  • 1. Describe how Salesforce objects map to CRM Analytics
  • 2. Describe use cases for Data Prep (Dataflows and Recipes)
  • 3. Define datasets
- Implement and configure the right data transformations
  • 1. Use Data Prep actions
  • 2. Identify and resolve data sync issues
Analytics Dashboard Design20%- Design and build CRM Analytics dashboards
  • 1. Describe the use cases for Visualforce and Lightning components
  • 2. Use Lenses and Dashboards
  • 3. Apply design best practices

>> Analytics-Con-201熱門考題 <<

Analytics-Con-201信息資訊 & Analytics-Con-201最新試題

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最新的 Salesforce Consultant Analytics-Con-201 免費考試真題 (Q15-Q20):

問題 #15
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

答案：A

解題說明：
To create a weekly forecast per customer, anSAQL (Salesforce Analytics Query Language)query can be used.
The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based onAccount Nameto ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.


問題 #16
Universal Containers' CRM Analytics team is building a dashboard with two widgets.
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 "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings/interactions so any selection in the List widget will filter the Donut chart. The queries use different datasets, and users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding/interaction?

答案：A

解題說明：
For the given requirement where a selection in a list widget needs to filter data displayed on a donut chart, and considering the list allows for multi-selection of the 'Type', the correct binding/interaction would be to use a syntax that captures the multi-select aspect and passes it appropriately. The right syntax, as indicated in Option A, looks like this:
"{{column(Type_2.selection, [\"Type\"]).asObject()}}"
This syntax ensures:
* Multi-selection: The column() function in combination with .asObject() ensures that multiple selected values from the 'Type_2' query can be passed as an object, which the donut chart can utilize to filter its content.
* Correct Data Type Handling: By using .asObject(), the binding ensures the data passed between widgets maintains the correct structure expected by the CRM Analytics dashboard, thereby ensuring accurate filtering.


問題 #17
Cloud Kicks (CK) wants to use CRM Analytics to analyze trends of its sales pipeline in order to accelerate the company's sales process. To do so, CK needs to know the average time an opportunity spends in each stage. The data can be found in the Opportunity History object, but the value is not pre- calculated in Salesforce, so a consultant recommends using a recipe to calculate it.
How should the consultant use a recipe to calculate the average time an opportunity spends in each stage?

答案：A


問題 #18
A CRM Analytics consultant is asked to make changes to the current sales dashboard at Cloud Kicks. The dashboard is crucial to track the daily sales performance of the company and needs to be available for other users while the consultant works on the changes.
How should the consultant proceed to update the dashboard?

答案：C


問題 #19
Exhibit.

Universal Containers has a dashboard for sales managers to visualize the Year Over Year (YoY) growth of their customers. The formula used is:
YoY = [(This Year - Last Year) / Last Year] %
Based on the graphic, when there is not an account in the Last Year column, the YoY Growth shows null results. The sales managers want to replace it with 100% value.
What is the correct function to use?

答案：B


問題 #20
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