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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Security	10%	- Determine security and sharing settings 1. Describe how Salesforce security is applied in CRM Analytics 2. Implement row-level security
Analytics Dashboard Configuration	25%	- Configure dashboards 1. Configure bindings 2. Set up dynamic dashboards 3. Apply query filters
Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Describe the use cases for Visualforce and Lightning components 2. Apply design best practices 3. Use Lenses and Dashboards
Data Layer	25%	- Identify the right data sources and data flows for CRM Analytics 1. Describe use cases for Data Prep (Dataflows and Recipes) 2. Describe how Salesforce objects map to CRM Analytics 3. Define datasets - Implement and configure the right data transformations 1. Identify and resolve data sync issues 2. Use Data Prep actions
Einstein Discovery	20%	- Describe Einstein Discovery concepts 1. Identify the use cases for Einstein Discovery 2. Explain the model building process 3. Interpret model results - Implement Einstein Discovery 1. Configure and deploy Einstein Discovery models 2. Integrate predictions into CRM Analytics dashboards

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q70-Q75):

NEW QUESTION # 70
Universal Containers intends to use a custom Salesforce big object in its org and visualize the data using CRM Analytics. As the number of rows to be synced is quite large, the CRM Analytics consultant is looking to set up an incremental sync with additional filters added as part of the data sync to improve performance.
What should the consultant keep in mind while implementing this?

A. Custom big objects are NOT supported by CRM Analytics.
B. Only SOSL queries can be used as data syne filters.
C. Incremental data syne Is NOT supported for big objects.

Answer: C

NEW QUESTION # 71
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

A. Use the Einstein Discovery flow action to make a prediction with the flow.
B. Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.
C. Write an Apex class with Einstein Discovery Predictions and append them to process.

Answer: A

NEW QUESTION # 72
consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

A. Set the organization-wide default for the Opportunity object to Public Read/Write.
B. Create a manual sharing rule to extend access to the VP of sales from the opportunity record.
C. Flatten the role hierarchy in the recipe and set a backup securitypredicate based on opportunityowner and role path.

Answer: C

NEW QUESTION # 73
The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back.
However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?

A. Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.
B. Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
C. Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.

Answer: A

NEW QUESTION # 74
A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRMAnalytics. Twenty-five objects have been enabled from the local Salesforce connector.
The requirements are:
* 10 objects should be enabled from an external database
* 12 objects each from three of the external Salesforce environments
* 15 objects each from the remaining two external Salesforce environments The consultant estimates each connector will, per object, bring between 1,000 and 1 million rows of data.
Which limit will be exceeded?

A. Salesforce external connector number of synced rows
B. Total number of enabled objects
C. Storage rows of data

Answer: B

Explanation:
In evaluating the scenario presented where multiple external sources and objects are being integrated into CRM Analytics, we need to consider the total number of enabled objects across all connections. Here's a breakdown:
* 10 objects from an external database
* 12 objects each from three external Salesforce environments, totaling 36 objects
* 15 objects each from two external Salesforce environments, totaling 30 objects
* 25 objects already enabled from the local Salesforce connector
This brings us to a total of 101 objects enabled, which may exceed typical limits on the number of objects that can be enabled in a CRM Analytics environment, depending on the specific Salesforce licensing and platform limits.

NEW QUESTION # 75
......

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