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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Layer23%- Data Sources & Integration
  • 1. Use Dataflows and Recipes for transformation
  • 2. Define datasets and map Salesforce objects
  • 3. Extract, load, and prepare data using Data Manager
- Data Management & Optimization
  • 1. Implement data modeling and relationships
  • 2. Resolve data sync and refresh issues
  • 3. Optimize dataset performance
Topic 2: Dashboard Design & Development25%- Build & Configure Dashboards
  • 1. Create lenses, steps, and visualizations
  • 2. Use SAQL for advanced queries
  • 3. Implement bindings, filters, and interactions
- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
Topic 3: 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
Topic 4: Einstein Discovery22%- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Embed predictions in dashboards and Lightning pages
  • 3. Monitor and maintain model performance
- Model Building & Configuration
  • 1. Select prediction type: numeric, binary, multi-class
  • 2. Train, evaluate, and refine models
  • 3. Prepare and assess data for modeling
Topic 5: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Monitor and optimize query performance
  • 2. Use Dashboard Inspector and Publisher
  • 3. Manage versioning and deployment

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q114-Q119):

NEW QUESTION # 114
What is a benefit of introducing a second local connector?

Answer: A

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.
Reference: Best practices for managing connectors and optimizing data sync performance can be found in theCRM Analyticsperformance optimization guides.


NEW QUESTION # 115
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: B

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 # 116
A CRM Analytics administrator is working on deploying a dashboard and a dataset from a developer sandbox to a full sandbox. They have deployed the dataset via change set and manually copy-pasted the dashboard JSON into the target org. However, they notice that the conditional formatting and the widget-specific number formats have been lost in the target environment.
What is causing this issue?

Answer: A

Explanation:
When deploying a dataset and dashboard between environments in CRM Analytics, it's essential to include theExtended Metadata (XMD)file, which controls aspects such as conditional formatting and number formatting. In this case, the administrator manually copied the dashboard JSON but did not deploy the Analytics Dataset XMD, which leads to the loss of conditional formatting and widget-specific number formats in the target environment. Including the XMD ensures that all formatting and metadata are transferred correctly.
Reference: Detailed information on XMD files and their role in formatting is covered in theCRM Analyticsdeployment and customization documentation.


NEW QUESTION # 117
A CRM Analytics administrator is working on deploying a dashboard and a dataset from a developer sandbox to a full sandbox. They have deployed the dataset via change set and manually copy-pasted the dashboard JSON into the target org. However, they notice that the conditional formatting and the widget-specific number formats have been lost in the target environment.
What is causing this issue?

Answer: A

Explanation:
When deploying a dataset and dashboard between environments in CRM Analytics, it's essential to include theExtended Metadata (XMD)file, which controls aspects such as conditional formatting and number formatting. In this case, the administrator manually copied the dashboard JSON but did not deploy the Analytics Dataset XMD, which leads to the loss of conditional formatting and widget-specific number formats in the target environment. Including the XMD ensures that all formatting and metadata are transferred correctly.


NEW QUESTION # 118
A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?

Answer: B

Explanation:
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to usesecurity predicates, which allow fine- tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.


NEW QUESTION # 119
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