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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Objectives
Security and Access	- App and dataset permissions - Row-level security and sharing rules
Data Management and Preparation	- Dataset creation and configuration in CRM Analytics - Data transformation and dataflows
Dashboard and App Development	- Interactive filters and user experience optimization - Lens creation and dashboard design
Data Integration and Connectivity	- Connecting external data sources - Data synchronization and refresh strategies
Einstein Discovery	- Insights interpretation and recommendations - Model building and predictions

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q39-Q44):

NEW QUESTION # 39
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?

A. Change sets
B. Analytics dashboard connector
C. Analytics External Data API

Answer: A

NEW QUESTION # 40
A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?

A. Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.
B. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
C. Dataflows/recipes with Augment nodes fail until sync has run for the first time.

Answer: B

NEW QUESTION # 41
A CRM Analytics consultant has been asked to add a custom object to existing recipe. When trying to locate the object, the consultant can see only Direct Data and NOT the SFDC Local data sync.
How should the consultant resolve this?

A. Clone the recipe, add the new object to the recipe, and run the recipe.
B. Create a new data sync connection, run the sync, and add to recipe.
C. Turn on data syne for the object, run the sync, and then add to recipe.

Answer: C

NEW QUESTION # 42
What is a benefit of introducing a second local connector?

A. Better performance by syncing data according to the refresh necessities
B. Better maintenance by having a connector per recipe
C. Better deployment management between sandboxes and production environment

Answer: A

Explanation:
Introducing a second local connector in CRM Analytics can improve performance by enabling more granular control over data syncs. By having a separate connector, different datasets or recipes can be synchronized independently based on specific refresh needs, reducing load and improving overall performance. This approach helps optimize data flow operations, especially in large-scale deployments with varying data refresh requirements.
Reference: Best practices for managing connectors and optimizing data sync performance can be found in theCRM Analyticsperformance optimization guides.

NEW QUESTION # 43
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. Flatten the role hierarchy in the recipe and set a backup securitypredicate based on opportunityowner and role path.
C. Create a manual sharing rule to extend access to the VP of sales from the opportunity record.

Answer: B

NEW QUESTION # 44
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