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CRM-Analytics-and-Einstein-Discovery-Consultant Test Topics Pdf & CRM-Analytics-and-Einstein-Discovery-Consultant Related Content

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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

Topic
Details

Topic 1

Admin
Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync
dataflows
recipe limits.

Topic 2

Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.

Topic 3

Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.

Topic 4

Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q69-Q74):

NEW QUESTION # 69
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 # 70
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to "augment" the dataflow.
Which phrase describes this transformation?

A. Join data similar to an SQL statement
B. Add data as a lookup relationship (left side is the lowest grain)
C. Join data based on a many-to-many relationship
D. Add data based on the right-side grain

Answer: B

Explanation:
https://trailhead.salesforce.com/en/content/learn/modules/wave_enable_data_integration_basics/wave_extract_salesforce_data
https://help.salesforce.com/articleView?id=bi_integrate_augment_transformation.htm&type=5

NEW QUESTION # 71
CRM Analytics uses permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow/recipe job runs.
Why should a consultant be cautious while syncing objects and fields containing sensitive data?

A. The Integration User has Modify All Data access.
B. The Integration User has Create and Modify All Data access.
C. The Integration User has View All Data access.

Answer: C

NEW QUESTION # 72
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 Analytics Security User is not provided access permission on custom field Demographic_c on the User object.
C. The security predicate needs to be updated as 'Ownerld' == "sUser.id" || 'Demography' = "$User.Demographic__c'.

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 # 73
Universal Containers plans to upload target data from an external tool to CRM Analytics so it can calculate the sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales rep, the target amount, and the month of the target. For each sales rep, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?

A. Overwrite
B. Update
C. Append

Answer: A

Explanation:
For uploading target data that changes on a monthly basis and includes historical data (previous years' targets), the appropriate operation is "Overwrite." This ensures that each time the CSV file is uploaded, the existing data in the dataset is replaced with the new data. This is critical because the target data includes both current and historical data, and using "Overwrite" will update the entire dataset while maintaining historical accuracy.
"Append" would add new data without replacing the old records, leading to duplication, and "Update" is not suitable for completely replacing data in this context.

NEW QUESTION # 74
......

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Alan Black Alan Black

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