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| Section | Weight | Objectives |
|---|
| Topic 1: Security | 10% | - Determine security and sharing settings
- 1. Implement row-level security
- 2. Describe how Salesforce security is applied in CRM Analytics
|
| Topic 2: Analytics Dashboard Design | 20% | - 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
|
| Topic 3: Data Layer | 25% | - Implement and configure the right data transformations
- 1. Use Data Prep actions
- 2. Identify and resolve data sync issues
- Identify the right data sources and data flows for CRM Analytics
- 1. Describe how Salesforce objects map to CRM Analytics
- 2. Define datasets
- 3. Describe use cases for Data Prep (Dataflows and Recipes)
|
| Topic 4: Analytics Dashboard Configuration | 25% | - Configure dashboards
- 1. Set up dynamic dashboards
- 2. Configure bindings
- 3. Apply query filters
|
| Topic 5: Einstein Discovery | 20% | - Describe Einstein Discovery concepts
- 1. Explain the model building process
- 2. Interpret model results
- 3. Identify the use cases for Einstein Discovery
- Implement Einstein Discovery
- 1. Integrate predictions into CRM Analytics dashboards
- 2. Configure and deploy Einstein Discovery models
|
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q118-Q123):
NEW QUESTION # 118
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "* & **( & *(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?
- A. The column header is auto-updated to "Column" + column number.
- B. The columnheaderis prefixed with "X" upon upload.
- C. The column header Is set to * & **( & *(%.
Answer: B
Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as " & **( & (%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.
Reference: You can find the CSV upload rules, including naming conventions and auto-formatting behaviors, outlined in theSalesforce CRM Analyticsdocumentation provided during training, particularly under the module "Wave Analytics Explorer."
NEW QUESTION # 119
A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at
6:00 AM EST.
How should the consultant proceed?
- A. Use the Data Manager and schedule each item to run at 6:00 AM EST based on 'Time-based Scheduling'.
- B. Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.
- C. Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.
Answer: C
NEW QUESTION # 120
A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?
- A. Create a Visualforce page and display a list view of the Opportunities on this new page.
- B. Create a second page on the dashboard and move the table to this new page.
- C. Create a second dashboard and move the table to this new dashboard.
Answer: B
Explanation:
Reference:CRM Analytics Dashboard Optimization
NEW QUESTION # 121
Universal Containers has a dashboard for sales managers that want to visualize their win rate.
Which chart type should the consultant use to keep track of targets?
- A. Line
- B. Gauge
- C. Metric Radar
Answer: B
NEW QUESTION # 122
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?
- A. Create a selection based Interaction and apply It to the query of "Query ple 3".
- B. Use "Connect Data Sources" to create a mapping of the two fields from the two datasets.
- C. Set up a result and selection based interaction for each query.
Answer: C
NEW QUESTION # 123
......
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