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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Use Lenses and Dashboards 2. Describe the use cases for Visualforce and Lightning components 3. Apply design best practices
Topic 2: Security	10%	- Determine security and sharing settings 1. Implement row-level security 2. Describe how Salesforce security is applied in CRM Analytics
Topic 3: Einstein Discovery	20%	- Describe Einstein Discovery concepts 1. Explain the model building process 2. Identify the use cases for Einstein Discovery 3. Interpret model results - Implement Einstein Discovery 1. Integrate predictions into CRM Analytics dashboards 2. Configure and deploy Einstein Discovery models
Topic 4: 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. Define datasets 3. Describe how Salesforce objects map to CRM Analytics - Implement and configure the right data transformations 1. Identify and resolve data sync issues 2. Use Data Prep actions
Topic 5: Analytics Dashboard Configuration	25%	- Configure dashboards 1. Apply query filters 2. Set up dynamic dashboards 3. Configure bindings

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q63-Q68):

NEW QUESTION # 63
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.

A. The permission set for the users is missing the download data permission.
B. The dashboard has been created for internal use and theusers have a view only license.
C. The users have access to the dashboard but not the dataset.

Answer: A

Explanation:
In CRM Analytics, even if users are granted access to view an app and its dashboards, their ability to download data is controlled by permissions assigned via permission sets. Specifically, users need the
"Download Data" permission to download data from widgets or dashboards. If this permission is missing from their permission set, they will be unable to download the specific widget, even though they can view the data.

NEW QUESTION # 64
A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

A. The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
B. The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.
C. The consultant has set up component visibility for the dashboard for system administrators only.

Answer: C

NEW QUESTION # 65
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?

A. Area Under Curve, R2 (R-squared)
B. Area Under Curve, Confusion Matrix
C. Root Mean Square Error, Minimum Square Error

Answer: C

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 # 66
Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?

A. Clone the dashboard and replace the existing one on the Lightning page with the new one
B. Check the Analytics Studio app to see if user's access has been removed.
C. Open the Lightning page, remove the dashboard component, reinsert it, and save the page.

Answer: B

NEW QUESTION # 67
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 # 68
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