Analytics-Con-201 Study Reference, Analytics-Con-201 Real Brain Dumps

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Security10%- Determine security and sharing settings
  • 1. Describe how Salesforce security is applied in CRM Analytics
  • 2. Implement row-level security
Einstein Discovery20%- Implement Einstein Discovery
  • 1. Integrate predictions into CRM Analytics dashboards
  • 2. Configure and deploy Einstein Discovery models
- Describe Einstein Discovery concepts
  • 1. Interpret model results
  • 2. Explain the model building process
  • 3. Identify the use cases for Einstein Discovery
Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Set up dynamic dashboards
  • 2. Configure bindings
  • 3. Apply query filters
Data Layer25%- Identify the right data sources and data flows for CRM Analytics
  • 1. Describe how Salesforce objects map to CRM Analytics
  • 2. Define datasets
  • 3. Describe use cases for Data Prep (Dataflows and Recipes)
- Implement and configure the right data transformations
  • 1. Identify and resolve data sync issues
  • 2. Use Data Prep actions
Analytics Dashboard Design20%- 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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q96-Q101):

NEW QUESTION # 96
Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website?

Answer: C


NEW QUESTION # 97
A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?

Answer: A


NEW QUESTION # 98
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: A

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 # 99
The below image shows a numeric outcome being deployed (Regression).

Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?

Answer: B

Explanation:
In the context of a regression model being deployed, the performance metrics used to evaluate its effectiveness in production typically include:
* Root Mean Square Error (RMSE): This metric provides a measure of the average magnitude of the errors between predicted values by the model and the actual values, giving a sense of how accurately the model predicts the outcome.
* Minimum Square Error: While less commonly referenced as "Minimum Square Error", metrics like Mean Squared Error (MSE) are often used to quantify the average of the squares of the errors- essentially, the average squared difference between the estimated values and what is estimated.
These metrics are crucial for assessing the performance of regression models in CRM Analytics, as they directly reflect the accuracy and reliability of the model's predictions in real-world applications.


NEW QUESTION # 100
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.
What is causing the issue?

Answer: B

Explanation:
As in the previous question, the issue is related to permissions. Users can be granted access to dashboards and apps, but if their permission set does not explicitly allow the "Download Data" action, they will not be able to download the widget data. This is a common issue encountered when users have restricted permissions, especially in environments where security and data access are tightly controlled.


NEW QUESTION # 101
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