Analytics-Con-201 Exam Dumps Pdf, Certification Analytics-Con-201 Questions

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q90-Q95):

NEW QUESTION # 90
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. Root Mean Square Error, Minimum Square Error
B. Area Under Curve, R2 (R-squared)
C. Area Under Curve, Confusion Matrix

Answer: A

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 # 91
The sole manager of a CRM Analytics app at Cloud Kicks is leaving the company.
What should the CRM Analytics consultant do to ensure the app remains accessible?

A. Deactivate the user and assign an active one to the app's manager role.
B. Wait for the CRM Analytics app to auto-assign an active user as its manager.
C. Assign an active user the app's manager role before the previous manager is deactivated.

Answer: C

Explanation:
To ensure continuity in managing a CRM Analytics app at Cloud Kicks after the current manager leaves, it is critical to proactively assign a new manager. Here's why this is the best approach:
* Role Transition: Assigning a new manager before the current manager's account is deactivated ensures there is no gap in app management, maintaining access and administrative continuity.
* Avoid Disruption: Waiting for an automatic reassignment (which does not typically occur in CRM Analytics) or post-deactivation reassignment could disrupt the management and operation of the app, potentially leading to access issues or administrative challenges.
* Proactive Management: This approach is in line with best practices for CRM system management, where critical roles and responsibilities are transitioned smoothly to avoid any operational disruptions.

NEW QUESTION # 92
Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?

A. Use the "update" transformation and utilize the "filter" node.
B. Use the combination of recipe transformations: "join" and "filter".
C. Use the recipe node "delete" and set "userID" as the deletion ID.

Answer: B

NEW QUESTION # 93
A project team member uploads a CSV file to CRM Analytics, and they notice a few records failed during the upload. The manager wants to view the error log generated so this can be fixed and uploaded again. The manager has the CRM Analytics administrator permissionbut is unable to download the error log details.
Why is the manager unable to download the log details?

A. They do not have the Upload External Data to CRM Analytics permission enabled.
B. They do not have the Download CRM Analytics Data permission enabled.
C. Only the user who uploaded the external data file can download the error log.

Answer: C

Explanation:
In CRM Analytics, when a CSV file is uploaded and errors occur during the upload process, an error log is generated. However, only the user who uploaded the external data file can download the error log, even if other users have administrative permissions. This restriction ensures that only the user responsible for the data upload can access the details to resolve the issues.

NEW QUESTION # 94
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?

A. Join
B. Flatten
C. Aggregate

Answer: B

NEW QUESTION # 95
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