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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
| Topic 2: Data Management and Preparation | - Data transformation and dataflows - Dataset creation and configuration in CRM Analytics |
| Topic 3: Security and Access | - App and dataset permissions - Row-level security and sharing rules |
| Topic 4: Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
| Topic 5: Einstein Discovery | - Insights interpretation and recommendations - Model building and predictions |
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q29-Q34):
NEW QUESTION # 29
The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.
What is the best way to maintain these widgets?
- A. Create/Edit a component for the widgets.
- B. Create/Edit a lens and add each dashboard.
- C. Create/Edit the widgets individually on each dashboard.
Answer: A
Explanation:
To maintain consistency and ease of updates across multiple dashboards, creating or editing a component for the widgets is the most effective method. This approach:
Efficiency in Updates: Allows changes to be made in one place, which automatically propagates to all instances where the component is used across dashboards.
Consistency: Ensures uniformity in the appearance and functionality of the widgets across different dashboards.
Simplicity: Reduces the need for redundant work, where each widget would otherwise need to be updated individually.
NEW QUESTION # 30
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?
- A. Write an Apex class with Einstein Discovery Predictions and append them to process.
- B. Use the Einstein Discovery flow action to make a prediction with the flow.
- C. Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.
Answer: B
NEW QUESTION # 31
What is a benefit of introducing a second local connector?
- A. Better maintenance by having a connector per recipe
- B. Better performance by syncing data according to the refresh necessities
- C. Better deployment management between sandboxes and production environment
Answer: B
Explanation:
Introducing a second local connector in CRM Analytics can improve performance by enabling more granular control over data syncs. By having a separate connector, different datasets or recipes can be synchronized independently based on specific refresh needs, reducing load and improving overall performance. This approach helps optimize data flow operations, especially in large-scale deployments with varying data refresh requirements.
NEW QUESTION # 32
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 second dashboard and move the table to this new dashboard.
- B. Create a Visualforce page and display a list view of the Opportunities on this new page.
- C. Create a second page on the dashboard and move the table to this new page.
Answer: C
Explanation:
Reference:CRM Analytics Dashboard Optimization
NEW QUESTION # 33
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?
- A. Create two separate datasets; one for EMEA, and one for CXOs and VPs.
- B. Use a field on the user record like Department/Region, and apply row-level security based on that field.
- C. Create two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
Answer: B
Explanation:
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
* Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
* Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
* Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.
NEW QUESTION # 34
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