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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Dashboard Design & Development25%- Design Principles
  • 1. Design for mobile and Lightning compatibility
  • 2. Apply best practices for usability and performance
- Build & Configure Dashboards
  • 1. Implement bindings, filters, and interactions
  • 2. Create lenses, steps, and visualizations
  • 3. Use SAQL for advanced queries
Einstein Discovery22%- Model Building & Configuration
  • 1. Prepare and assess data for modeling
  • 2. Train, evaluate, and refine models
  • 3. Select prediction type: numeric, binary, multi-class
- Deployment & Usage
  • 1. Embed predictions in dashboards and Lightning pages
  • 2. Monitor and maintain model performance
  • 3. Interpret results and recommendations
Security & Access12%- Sharing & Permissions
  • 1. Configure app, dataset, and field-level security
  • 2. Manage user and group access
  • 3. Implement row-level security and inheritance
Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Use Dashboard Inspector and Publisher
  • 2. Monitor and optimize query performance
  • 3. Manage versioning and deployment
Data Layer23%- Data Sources & Integration
  • 1. Define datasets and map Salesforce objects
  • 2. Use Dataflows and Recipes for transformation
  • 3. Extract, load, and prepare data using Data Manager
- Data Management & Optimization
  • 1. Optimize dataset performance
  • 2. Resolve data sync and refresh issues
  • 3. Implement data modeling and relationships

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q105-Q110):

NEW QUESTION # 105
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "* & **( & *(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

Answer: C

Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as " & **( & (%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.
Reference: You can find the CSV upload rules, including naming conventions and auto-formatting behaviors, outlined in theSalesforce CRM Analyticsdocumentation provided during training, particularly under the module "Wave Analytics Explorer."


NEW QUESTION # 106
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: B

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 # 107
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 # 108
The CRM Analytics consultant at Universal Containers (UC) has set up data sync for the Salesforce Opportunity object with the Amount currency field added. This is being used in multiple datasets and dashboards, as UC is a multi-currency organization.
The currency used in Salesforce records is set up in GBP but the data on the dashboard is converting to USD.
Conversion logic is not set up on any of the recipes.
Why is the currency converting?

Answer: A

Explanation:
In Salesforce CRM Analytics, when dealing with multi-currency environments, the system relies on the organization's corporate currency setting for reporting, unless explicitly overridden. In this case, even though the Opportunity data is stored in GBP in Salesforce, the dashboards are showing USD because the corporate currency for the org is set to USD. This behavior is expected unless currency conversion logic is implemented in the datasets or recipes.
The corporate currency serves as the default for currency fields in datasets and dashboards unless configured otherwise. This can be confirmed under the "Manage Currencies" settings in Salesforce.


NEW QUESTION # 109
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?

Answer: C

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 # 110
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