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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Layer	25%	- Identify the right data sources and data flows for CRM Analytics 1. Define datasets 2. Describe how Salesforce objects map to CRM Analytics 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
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. Identify the use cases for Einstein Discovery 2. Interpret model results 3. Explain the model building process
Analytics Dashboard Configuration	25%	- Configure dashboards 1. Configure bindings 2. Apply query filters 3. Set up dynamic dashboards
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
Security	10%	- Determine security and sharing settings 1. Implement row-level security 2. Describe how Salesforce security is applied in CRM Analytics

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Analytics-Con-201 Study Materials: Salesforce Certified CRM Analytics and Einstein Discovery Consultant & Analytics-Con-201 Certification Training

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q111-Q116):

NEW QUESTION # 111
A consultant has been asked to build and embed a dashboard in a Lightning page. Users should only be able to change the dashboard contrast and open Analytics Studio from the header of the dashboard.
How should the consultant achieve this?

A. Deselect the "Enable Notifications" and "Enable Email" buttons.
B. Deselect the "Show Share Icon" and "Enable Subscriptions" buttons.
C. Deselect the "Enable Notifications" and "Enable Subscriptions" buttons.

Answer: C

NEW QUESTION # 112
A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the CRM Analytics consultant take?

A. Split the analysis into multiple models with each having fewer products.
B. Run the model using the default variables in the Product object.
C. Use SKU numbers rather than product names to increase clarity.

Answer: A

NEW QUESTION # 113
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?

A. The column header Is set to *&**(&*(%.
B. The column header is auto-updated to "Column" + column number.
C. The columnheaderis prefixed with "X" upon upload.

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.

NEW QUESTION # 114
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. Wait for the CRM Analytics app to auto-assign an active user as its manager.
B. Deactivate the user and assign an active one to the app's manager role.
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 # 115
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

A. An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
B. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols
C. An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols

Answer: B

Explanation:
To create a weekly forecast per customer, anSAQL (Salesforce Analytics Query Language)query can be used.
The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based onAccount Nameto ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.
Reference: The use ofSAQL and timeseries functionsis covered in theWave Analytics ExplorerandAdvanced SAQLmodules, where partitioning and date-based aggregations are explained in detail.

NEW QUESTION # 116
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