Quiz 2026 Analytics-Con-201: Professional Salesforce Certified CRM Analytics and Einstein Discovery Consultant Advanced Testing Engine

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionObjectives
Topic 1: Einstein Discovery- Model building and predictions
- Insights interpretation and recommendations
Topic 2: Data Integration and Connectivity- Data synchronization and refresh strategies
- Connecting external data sources
Topic 3: Security and Access- App and dataset permissions
- Row-level security and sharing rules
Topic 4: Dashboard and App Development- Lens creation and dashboard design
- Interactive filters and user experience optimization
Topic 5: Data Management and Preparation- Data transformation and dataflows
- Dataset creation and configuration in CRM Analytics

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q79-Q84):

NEW QUESTION # 79
Universal Containers uses CRM Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users in the samedepartment have the same role and need to have access to the same dashboards.
Dashboards for different departments use some common datasets with the same row-level security.
How should a CRM Analytics consultant address this need?

Answer: B

Explanation:
For managing access to department-specific dashboards while leveraging common datasets, the best approach involves the use of apps and permission sets. Here's why:
* App Segregation: Creating a separate app for each department (Sales, Service, Marketing) allows for tailored dashboards and datasets to be grouped by department, facilitating easier management and navigation.
* Shared Common Datasets: Placing common datasets in a shared app ensures that all departments can access necessary data without duplication, maintaining consistency and reducing storage requirements.
* Use of Permission Sets: Leveraging permission sets to control access to these apps is a flexible and scalable approach. Permission sets can be finely tuned to grant or restrict access based on user roles within the organization, and they can be easily adjusted as roles or organizational structures change.
This structure not only ensures data security and appropriate access but also enhances the efficiency of managing CRM Analytics resources across different departments.


NEW QUESTION # 80
A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?

Answer: C


NEW QUESTION # 81
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: B


NEW QUESTION # 82
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?

Answer: A

Explanation:
If the wrong field is selected in the initial setup of an app or dataset, it is important to stop any data processing activities (like recipe executions) to prevent erroneous data from being loaded into datasets and dashboards. In this case, stopping the recipe from running in Data Manager is the correct first step. Once the recipe is stopped, the consultant can update the field selection or make other necessary corrections before restarting the process.


NEW QUESTION # 83
A consultant is building a CRM Analytics dashboard for Universal
Containers. The consultant has enabled data sync to increase the
speed of datasets refreshing.
How often will the data on the dashboard be refreshed?

Answer: C


NEW QUESTION # 84
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