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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Monitor and optimize query performance 2. Manage versioning and deployment 3. Use Dashboard Inspector and Publisher
Einstein Discovery	22%	- Deployment & Usage 1. Embed predictions in dashboards and Lightning pages 2. Monitor and maintain model performance 3. Interpret results and recommendations - Model Building & Configuration 1. Select prediction type: numeric, binary, multi-class 2. Train, evaluate, and refine models 3. Prepare and assess data for modeling
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. Apply best practices for usability and performance 2. Design for mobile and Lightning compatibility
Security & Access	12%	- Sharing & Permissions 1. Manage user and group access 2. Configure app, dataset, and field-level security 3. Implement row-level security and inheritance
Data Layer	23%	- Data Sources & Integration 1. Use Dataflows and Recipes for transformation 2. Extract, load, and prepare data using Data Manager 3. Define datasets and map Salesforce objects - Data Management & Optimization 1. Optimize dataset performance 2. Implement data modeling and relationships 3. Resolve data sync and refresh issues

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Latest Analytics-Con-201 Test Questions | Valid Analytics-Con-201 Exam Test

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q28-Q33):

NEW QUESTION # 28
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 users have access to the dashboard but not the dataset.
C. The dashboard has been created for internal use and theusers have a view only license.

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 # 29
What are various ways to incorporate blank space in a CRM Analytics dashboard?

A. 1. Use the "Cell Spacing" layout property.2. Increase the dashboard granularity via columns, and use blank columns.
B. 1. Increase the dashboard granularity via columns, and use blank columns.Use pages to break content into multiple tabs.
C. Use the "Fine" row height option in layout properties, and use blank rows,Use the "With Spacing" row height property.

Answer: A

Explanation:
Incorporating blank space into a CRM Analytics dashboard can be achieved effectively through the following methods:
* Cell Spacing Layout Property: This allows for consistent spacing between cells, helping to create a visually organized and less cluttered dashboard.
* Increasing Dashboard Granularity via Columns: Using blank columns as a method to create deliberate space can help in visually separating different dashboard elements, enhancing readability and focus.
These methods ensure that the dashboard is not only functional but also aesthetically pleasing and easy to navigate.

NEW QUESTION # 30
Which capability can a consultant use if "Deploy without connecting to a Salesforce Object" is selected while deploying the model?

A. No-Code Writeback to SFDC objects
B. Predict Function in Salesforce flows
C. Einstein Predictions Component score

Answer: B

Explanation:
When deploying a model with the option "Deploy without connecting to a Salesforce Object", the suitable capabilities include:
* Use of Predict Function in Salesforce Flows: This capability allows the deployed model to be used within Salesforce Flow as a predictive tool, enabling automation flows to include predictions without directly writing back to Salesforce objects.
* Flexibility in Application: This method provides flexibility in how predictions are utilized across various Salesforce processes and workflows, without the need for direct data manipulation within Salesforce objects.
* Enhanced Workflow Integration: By integrating predictive insights directly into flows, organizations can automate decision-making processes, enhance user interactions, and streamline operations based on predictive outcomes.
This setup aligns with Salesforce's best practices for leveraging CRM Analytics to enhance operational efficiency and decision accuracy across different business functions.

NEW QUESTION # 31
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 security predicate needs to be updated as 'Ownerld' == "sUser.id" || 'Demography' = "$User.
Demographic__c'.
B. The Analytics Security User is not provided access permission on custom field Demographic_c on the User object.
C. The Sales Rep is not provided access permission on custom field Demographic__c on the User object.

Answer: C

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 # 32

Which timeseries statement will fix the query?

A. q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
'Date_Month', "Q-M"), partition='Region', ignoreLast=true);
B. q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
'Date_Month', "Y-M"), partition='Region');
C. q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);

Answer: B

NEW QUESTION # 33
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