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| Section | Objectives |
|---|---|
| Topic 1: Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations |
| Topic 2: Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
| Topic 3: Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
| Topic 4: Security and Access | - App and dataset permissions - Row-level security and sharing rules |
| Topic 5: Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows |
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問題 #19
A manager at Cloud Kicks wants to separate and analyze accounts based on numeric information of its opportunity records. The data includes things like amount, quantity of products, contacts, and quotes.
How should the CRM Analytics consultant accomplish this?
答案：A
問題 #20
The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app.
How should the consultant fix the problem?
答案：C
解題說明：
Reference:Managing Data Access and Sharing in CRM Analytics
問題 #21
Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?
答案：C
解題說明：
To ensure that CRM Analytics dashboards are optimally usable on both desktop and mobile devices, creating multiple layouts tailored to each device type is crucial. Here's why Option C is the best approach:
* Device-Specific Layouts: By creating specific layouts for each device type, you ensure that the dashboard contents are presented in a manner best suited to the screen size and interaction model of the device.
* Layout Selectors: These are used to automatically display the appropriate layout based on the device accessing the dashboard, enhancing user experience without manual intervention.
* Widget Customization: Resizing or hiding certain widgets for specific device layouts ensures that the dashboard remains clean, uncluttered, and easy to navigate, regardless of the device used.
問題 #22
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?
答案：B
解題說明：
In deploying Einstein Discovery models that are tailored to different regions (EMEA, AMER, and APAC), the best approach is to segment the account data by region and apply the specific model designed for each segment. This method ensures the following:
* Relevance and Accuracy: Each model can be specialized to understand and predict based on regional dynamics, which may differ significantly across geographies in terms of market behavior, customer preferences, and economic conditions.
* Efficiency: Deploying region-specific models avoids the dilution of predictive power that might occur if a single model were used across all regions, which could lead to less accurate predictions.
* Scalability: This approach is scalable as UC can further refine each model as more regional data becomes available or as regional market conditions evolve.
問題 #23
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?
答案：C
解題說明：
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
* Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger.
This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
* Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
* Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.
問題 #24
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