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

Topic
Details

Topic 1

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 2

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 3

Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.

Topic 4

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.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q34-Q39):

NEW QUESTION # 34
A consultant wants to understand what the important predictors are in a model.
Where is this information found?

A. Einstein Recommendations
B. Model Deployment Wizard
C. Model Settings

Answer: C

Explanation:
The important predictors of a model in CRM Analytics can typically be found under theModel Settings. This area provides detailed information about the configuration and the inputs (predictors) used to train the model.
Insights into which predictors have the most significant impact on the model's outcomes can be gleaned from this section, enabling a deeper understanding of the model's internal workings and the factors driving predictions.

NEW QUESTION # 35
The client asks an Einstein Consultant to build a dashboard with a chart that shows revenue and quantity of units sold. Which type of Combo Chart can the consultant use?

A. Grid over Bar
B. Line over Bar
C. Line over Scatter Plot
D. Line over Stacked Bar

Answer: B

NEW QUESTION # 36
Can you share dashboards with others in your org?

A. Click on the "Share" icon on the dataset.
B. Click on the "Share" icon on the dashboard. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.
C. No, you can't share dashboards.
D. Click on the "Share" icon on the lens. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot

Answer: B

NEW QUESTION # 37
A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?

A. Use security predicates in CRM Analytics.
B. Contact Salesforce Support to increase the sharing descriptor limit.
C. Increase the sharing descriptor limit in the analytics settings.

Answer: A

Explanation:
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.

NEW QUESTION # 38
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 prefixed with "X" upon upload.
B. The column header Is set to *&**(&*(%.
C. The column header is auto-updated to "Column" + column number.

Answer: A

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 # 39
......

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