Free CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT Practice Test Questions and Answers (2026) | Cert Empire Practice Questions

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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.

In deploying Einstein Discovery models that are tailored to different regions (EMEA, AMER, and

APAC), the best approach is to segment the account data by region and apply the specific model

designed for each segment. This method ensures the following:

Relevance and Accuracy: Each model can be specialized to understand and predict based on regional

dynamics, which may differ significantly across geographies in terms of market behavior, customer

p

, and economic conditions.

Efficiency: Deploying region-specific models avoids the dilution of predictive power that might occur

if a single model were used across all regions, which could lead to less accurate predictions.

Scalability: This approach is scalable as UC can further refine each model as more regional data

becomes available or as regional market conditions evolve.

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To address issues with unauthorized access to sensitive data and dashboards, the best practice is to

create separate apps, datasets, and dashboards for different user groups and then manage their

sharing settings appropriately. This allows you to maintain data security while ensuring that users

only access the data and insights that are relevant to their roles. In this scenario, applying separate

apps for managers with defined sharing rules will prevent users who shouldn’t have access from

seeing sensitive data.

Reference: Managing Data Access and Sharing in CRM Analytics

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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.

Reference: You can find the CSV upload rules, including naming conventions and auto-formatting

behaviors, outlined in the Salesforce CRM Analytics documentation provided during training,

particularly under the module "Wave Analytics Explorer."

The CRM Analytics Dashboard Inspector is a powerful tool used to troubleshoot and optimize

dashboards. Its primary function is to display the underlying SAQL (Salesforce Analytics Query

Language) query executed for each widget. It helps users see the final query that is run and the

corresponding results. This feature allows CRM Analytics consultants and developers to diagnose

issues, optimize performance, and understand how data is being processed in the dashboard.

While the Inspector helps view execution times and identify bottlenecks, it does not automatically

resolve performance issues (which is why option B is incorrect). It simply provides visibility into

query performance and execution details, allowing the user to make manual optimizations.

Reference: Detailed information on the Dashboard Inspector tool can be found under the "Building

Lenses, Dashboards, and Apps in CRM Analytics" module and the Einstein Discovery training content

within Salesforce documentation.

To ensure that CRM Analytics dashboards are optimally usable on both desktop and mobile devices,

creating multiple layouts tailored to each device type is crucial. Here's why Option C is the best

approach:

Device-Specific Layouts: By creating specific layouts for each device type, you ensure that the

dashboard contents are presented in a manner best suited to the screen size and interaction model

of the device.

Layout Selectors: These are used to automatically display the appropriate layout based on the device

accessing the dashboard, enhancing user experience without manual intervention.

Widget Customization: Resizing or hiding certain widgets for specific device layouts ensures that the

dashboard remains clean, uncluttered, and easy to navigate, regardless of the device used.

To meet the requirement of training some users to create dashboards while giving another team

access to use (but not modify) those dashboards, the best approach is to configure a permission set

license assignment with two different levels of access. You can assign specific permissions for

dashboard creation to one group of users and viewing permissions to the other. This ensures the

appropriate level of access based on the role without the need for duplicating permission sets or

licenses unnecessarily.

Reference: The role of permission sets and permission set licenses in managing different levels of

access is outlined in Salesforce CRM Analytics user management and security documentation

The Repeater Widget in CRM Analytics allows dynamic updates to be reflected on the dashboard

automatically as data flows are updated. This means that as new account managers join or existing

account managers change roles, the data in the widget will automatically reflect the latest

information without manual updates. This is the most efficient way to keep the dashboard up-to-

date with the current list of account managers.

Reference: The functionality of Repeater Widgets and their ability to dynamically update based on

live data is covered in the Wave Analytics Explorer documentation, particularly when dealing with

team structures and dynamic datasets.

When embedding a CRM Analytics dashboard in a Lightning page using a CRM Analytics Dashboard

Component, you must configure the component’s visibility settings correctly to ensure that all

relevant users have access. In this case, the issue arises because the system administrator can see

the dashboard, but the contract manager cannot. The most likely cause is that the consultant has set

the component visibility to display only for system administrators, which would prevent the contract

manager from seeing the content. To resolve this issue, the consultant must modify the component

visibility settings to include both the system administrator and contract manager profiles.

Reference: CRM Analytics and Lightning Components

When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule

complications in CRM Analytics. In such cases, the recommended solution is to use security

predicates, which allow fine-tuned control over which data is visible to users based on their sharing

rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing

security at the dataset level rather than relying solely on record-sharing mechanisms.

Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not

typically increase this limit, making the use of security predicates the best approach.

Reference: Security predicates and their use to optimize data visibility and sharing within CRM

Analytics are explained in the CRM Analytics documentation related to security and performance.

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For the given requirement where a selection in a list widget needs to filter data displayed on a donut

chart, and considering the list allows for multi-selection of the 'Type', the correct binding/interaction

would be to use a syntax that captures the multi-select aspect and passes it appropriately. The right

syntax, as indicated in Option A, looks like this:

"{{column(Type_2.selection, [\"Type\"]).asObject()}}"

This syntax ensures:

Multi-selection: The column() function in combination with .asObject() ensures that multiple

selected values from the 'Type_2' query can be passed as an object, which the donut chart can utilize

to filter its content.

Correct Data Type Handling: By using .asObject(), the binding ensures the data passed between

widgets maintains the correct structure expected by the CRM Analytics dashboard, thereby ensuring

accurate filtering.

For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the

most efficient and scalable approach is to implement row-level security using fields on the user

record, like Department or Region. Here's the rationale for choosing this approach:

Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can

manage access dynamically without needing to maintain multiple dashboards or datasets. This

reduces administrative overhead and simplifies updates as roles or regional structures change.

Flexibility: Using a field on the user record to control access allows for easy expansion or modification

of security policies as new regions or roles are added.

Simplicity: This method ensures a clear and straightforward security model that can be easily audited

and understood by administrators and compliance teams.

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