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| Section | Objectives |
|---|---|
| Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
| Einstein Discovery | - Insights interpretation and recommendations - Model building and predictions |
| Security and Access | - Row-level security and sharing rules - App and dataset permissions |
| Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows |
| Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
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NEW QUESTION # 71
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?
Answer: C
NEW QUESTION # 72
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?
Answer: A
Explanation:
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.
NEW QUESTION # 73
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 # 74
AW Computing will start using Tableau Online to report on some of its Salesforce data to users who do NOT have an SFDC license.
What is the first step the CRM Analytics consultant should take?
Answer: C
NEW QUESTION # 75
Which capability can a consultant use if "Deploy without connecting to a Salesforce Object" is selected while deploying the model?
Answer: B
Explanation:
When deploying a model with the option "Deploy without connecting to a Salesforce Object", the suitable capabilities include:
* Use of Predict Function in Salesforce Flows: This capability allows the deployed model to be used within Salesforce Flow as a predictive tool, enabling automation flows to include predictions without directly writing back to Salesforce objects.
* Flexibility in Application: This method provides flexibility in how predictions are utilized across various Salesforce processes and workflows, without the need for direct data manipulation within Salesforce objects.
* Enhanced Workflow Integration: By integrating predictive insights directly into flows, organizations can automate decision-making processes, enhance user interactions, and streamline operations based on predictive outcomes.
This setup aligns with Salesforce's best practices for leveraging CRM Analytics to enhance operational efficiency and decision accuracy across different business functions.
NEW QUESTION # 76
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