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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Layer	23%	- Data Management & Optimization 1. Optimize dataset performance 2. Resolve data sync and refresh issues 3. Implement data modeling and relationships - 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
Dashboard Design & Development	25%	- Build & Configure Dashboards 1. Implement bindings, filters, and interactions 2. Create lenses, steps, and visualizations 3. Use SAQL for advanced queries - Design Principles 1. Design for mobile and Lightning compatibility 2. Apply best practices for usability and performance
Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Use Dashboard Inspector and Publisher 2. Manage versioning and deployment 3. Monitor and optimize query performance
Einstein Discovery	22%	- Model Building & Configuration 1. Train, evaluate, and refine models 2. Prepare and assess data for modeling 3. Select prediction type: numeric, binary, multi-class - Deployment & Usage 1. Monitor and maintain model performance 2. Interpret results and recommendations 3. Embed predictions in dashboards and Lightning pages
Security & Access	12%	- Sharing & Permissions 1. Configure app, dataset, and field-level security 2. Manage user and group access 3. Implement row-level security and inheritance

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q65-Q70):

NEW QUESTION # 65
The CRM Analytics consultant at Universal Containers (UC) has set up data sync for the Salesforce Opportunity object with the Amount currency field added. This is being used in multiple datasets and dashboards, as UC is a multi-currency organization.
The currency used in Salesforce records is set up in GBP but the data on the dashboard is converting to USD.
Conversion logic is not set up on any of the recipes.
Why is the currency converting?

A. The ANS local currency is set up as USD.
B. The org corporate currency is set up as USD.
C. The Integration User currency is set up as USD.

Answer: B

Explanation:
In Salesforce CRM Analytics, when dealing with multi-currency environments, the system relies on the organization's corporate currency setting for reporting, unless explicitly overridden. In this case, even though the Opportunity data is stored in GBP in Salesforce, the dashboards are showing USD because the corporate currency for the org is set to USD. This behavior is expected unless currency conversion logic is implemented in the datasets or recipes.
The corporate currency serves as the default for currency fields in datasets and dashboards unless configured otherwise. This can be confirmed under the "Manage Currencies" settings in Salesforce.
Reference: The currency handling rules in CRM Analytics, including how the corporate currency affects reporting, are detailed inSalesforce documentation on multi-currency organizationsand theEinstein Discoverytraining materials.

NEW QUESTION # 66
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?

A. In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.
B. Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.
C. Create an XMD node in the recipe to change the label and color of the values in the fields.

Answer: A

NEW QUESTION # 67
The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.
What is the best way to maintain these widgets?

A. Create/Edit the widgets individually on each dashboard.
B. Create/Edit a component for the widgets.
C. Create/Edit a lens and add each dashboard.

Answer: B

Explanation:
To maintain consistency and ease of updates across multiple dashboards, creating or editing a component for the widgets is the most effective method. This approach:
Efficiency in Updates: Allows changes to be made in one place, which automatically propagates to all instances where the component is used across dashboards.
Consistency: Ensures uniformity in the appearance and functionality of the widgets across different dashboards.
Simplicity: Reduces the need for redundant work, where each widget would otherwise need to be updated individually.

NEW QUESTION # 68
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 @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
C. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols

Answer: C

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 # 69
Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing
'Account' dataset as follows:
This, however, does not seem to be working as expected.
What is causing the issue?

A. The Sales Rep is not provided access permission on custom field Demographic__c on the User object.
B. The security predicate needs to be updated as 'Ownerld' == "sUser.id" || 'Demography' = "$User.
Demographic__c'.
C. The Analytics Security User is not provided access permission on custom field Demographic_c on the User object.

Answer: A

Explanation:
The issue with the security predicate not functioning as expected likely stems from a permissions issue related to the custom field Demographic__c on the User object. Here's a detailed explanation:
* Field-Level Security: If the sales reps do not have access to the Demographic__c field, the security predicate which references this field cannot execute properly as the system cannot evaluate the predicate without accessing the field.
* Permission Settings: Ensuring that the sales reps have the necessary permissions to view and use the Demographic__c field is crucial for the security predicate to function correctly.
* Data Visibility: The security model in CRM Analytics relies heavily on the underlying data permissions in Salesforce. If these permissions are not correctly configured, the expected data visibility through CRM Analytics will not be achieved.

NEW QUESTION # 70
......

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