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| Section | Weight | Objectives |
|---|
| Analytics Dashboard Configuration | 25% | - Configure dashboards
- 1. Apply query filters
- 2. Set up dynamic dashboards
- 3. Configure bindings
|
| Data Layer | 25% | - Identify the right data sources and data flows for CRM Analytics
- 1. Describe use cases for Data Prep (Dataflows and Recipes)
- 2. Describe how Salesforce objects map to CRM Analytics
- 3. Define datasets
- Implement and configure the right data transformations
- 1. Identify and resolve data sync issues
- 2. Use Data Prep actions
|
| Security | 10% | - Determine security and sharing settings
- 1. Describe how Salesforce security is applied in CRM Analytics
- 2. Implement row-level security
|
| Analytics Dashboard Design | 20% | - Design and build CRM Analytics dashboards
- 1. Apply design best practices
- 2. Use Lenses and Dashboards
- 3. Describe the use cases for Visualforce and Lightning components
|
| 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. Configure and deploy Einstein Discovery models
- 2. Integrate predictions into CRM Analytics dashboards
|
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q117-Q122):
NEW QUESTION # 117
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 sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
- B. Use a field on the user record like Department/Region, and apply row-level security based on that field.
- C. Create two separate datasets; one for EMEA, and one for CXOs and VPs.
Answer: B
NEW QUESTION # 118
A team of CRM Analytics developers has been working on an existing recipe to add new derived fields. The edited version has been failing ever since, and management is requesting that the dashboard show refreshed data while they work on the edits.
How can the developers add new fields while keeping the dataset refreshed?
- A. Refresh the dataset after working hours to avoid the edited version from failing.
- B. Clone the existing recipe to add fields and roll back the original recipe to the last working version.
- C. A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.
Answer: B
Explanation:
When faced with the need to continue refreshing data while developing new features in a recipe, the best practice is:
* Clone the Existing Recipe: By cloning the recipe, developers can experiment with adding new fields and transformations without affecting the production data flow. This allows for testing and development in a sandbox-like environment.
* Roll Back to a Stable Version: Rolling back the original recipe to the last stable version ensures that the production dashboards continue to receive refreshed data, maintaining business operations without disruption.
This approach not only ensures data continuity but also provides a safe environment to address any issues that may arise from new developments.
NEW QUESTION # 119
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 sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
- B. Use a field on the user record like Department/Region, and apply row-level security based on that field.
- C. Create two separate datasets; one for EMEA, and one for CXOs and VPs.
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 # 120
Cloud Kicks (CK) has a dashboard that is still showing 10 former account managers. CK has since expanded, and some have moved from their former roles. CK wants the dashboard to reflect current account managers and stay up to date as new team members join.
How should the CRM Analytics developer accomplish this?
- A. Build a report and get notified when a new account manager joins, and then edit the dashboard to add the account manager.
- B. Use a Repeater Widget that updates automatically as the data flows through the system.
- C. Create @ Watchlist and when the number of account manager updates, update the dashboard to reflect the same.
Answer: B
Explanation:
TheRepeater Widgetin CRM Analytics allows dynamic updates to be reflected on the dashboard automatically as data flows are updated. This means that as new account managers join or existing account managers change roles, the data in the widget will automatically reflect the latest information without manual updates. This is the most efficient way to keep the dashboard up-to-date with the current list of account managers.
NEW QUESTION # 121
A new picklist value was added for the Category field on the Account object. This field is already added as part of the Account object data sync and the respective recipe that uses this field.
The CRM Analytics team reports that when they start the recipe it runs successfully with no errors or warnings, but theyare unable to See this new valueson their existing dashboards.
What is the oridi4 of this issue?
- A. The Integration User profile does not have access to the field.
- B. The user who runs the dataflow/recipe does not have access to the field.
- C. There are no records in Salesforce with this new plicklist value.
Answer: C
NEW QUESTION # 122
......
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