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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Einstein Discovery	22%	- Model Building & Configuration 1. Train, evaluate, and refine models 2. Prepare and assess data for modeling 3. Select prediction type: numeric, binary, multi-class - Deployment & Usage 1. Interpret results and recommendations 2. Embed predictions in dashboards and Lightning pages 3. Monitor and maintain model performance
Topic 2: Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Use Dashboard Inspector and Publisher 2. Manage versioning and deployment 3. Monitor and optimize query performance
Topic 3: Data Layer	23%	- Data Sources & Integration 1. Define datasets and map Salesforce objects 2. Extract, load, and prepare data using Data Manager 3. Use Dataflows and Recipes for transformation - Data Management & Optimization 1. Resolve data sync and refresh issues 2. Optimize dataset performance 3. Implement data modeling and relationships
Topic 4: Security & Access	12%	- Sharing & Permissions 1. Configure app, dataset, and field-level security 2. Implement row-level security and inheritance 3. Manage user and group access
Topic 5: Dashboard Design & Development	25%	- Build & Configure Dashboards 1. Create lenses, steps, and visualizations 2. Use SAQL for advanced queries 3. Implement bindings, filters, and interactions - Design Principles 1. Apply best practices for usability and performance 2. Design for mobile and Lightning compatibility

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TrainingDumps Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) practice test material covers all the key topics and areas of knowledge necessary to master the Salesforce Certification Exam. Experienced industry professionals design the Analytics-Con-201 exam questions and are regularly updated to reflect the latest changes in the Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) exam. In addition, TrainingDumps offers three different formats of practice material which are discussed below.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q49-Q54):

NEW QUESTION # 49
A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the CRM Analytics consultant take?

A. Run the model using the default variables in the Product object.
B. Split the analysis into multiple models with each having fewer products.
C. Use SKU numbers rather than product names to increase clarity.

Answer: B

NEW QUESTION # 50
CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?

A. Purpose - Structure - Surface
B. Clarity - Efficiency - Consistency
C. Priority - Logic - Level of Granularity

Answer: A

NEW QUESTION # 51
Universal Containers wants to create two dashboards and has two user groups. The 'Regional Performance' dashboard should be accessible to sales reps and managers/executives to keep track of how sales reps are performing in each region. Sales reps must only be able to see data pertaining to their respective region. The 'National Performance' dashboard is using the same data as the other dashboard but should only be accessible to managers/executives to compare data across all regions.
In addition to row-level security to view only regional data, how should a consultant ensure that sales reps are unable to view the 'National Performance' dashboard?

A. Create one dataset, two apps; store 'Regional Performance' dashboard and dataset In one app; and provide access to both user groups to this app. Store 'National Performance' dashboard in another app and only provide access tomanagers/executives.
B. Create one dataset, one app; store both 'Regional Performance' dashboard, 'National Performance' dashboard, and dataset in the app; and provide access to both user groups to this app. Use row-level security to restrict sales repsfrom seeing data in 'National Performance' dashboard.
C. Create two datasets, one app; store both 'Regional Performance' dashboard, 'National Performance' dashboard, and dataset in the app; and provide access to both user groups to this app.

Answer: A

NEW QUESTION # 52
Universal Containers (UC) is rolling out CRM Analytics to its field sales that include dashboards withorder data from an external source.
UC has a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. In addition, the order data has a reference to a Salesforce opportunity.
An individual sales rep should be able to view all orders that they own or as part of the account team or opportunity team. The sales manager should be able to view all orders for the entire sales team. Similarly, the VP of sales should be able to view orders for everyone who rolls up in that hierarchy.
The dataset has a field called Ownerld which represents the order owner.
Given this information, how should a CRM Analytics consultant implement the above requirements?

A. As part of the recipe, use a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==''$UserRoleId'' || Owned\ ==
'$User,id\\,
B. As part of the recipe, use the flatten operation on the role hierarchy, create a multi-value attribute called
'ParentRoleIDs' on the dataset, and apply the following security predicate: 'ParentRoleIDs' == "$User.
UserRoleld" || 'TeamMember.Id' '$User, Id" || 'Ownerld' == "$User.Id".
C. As part of the recipe, use a multi row formula on the Roleld field to create an attribute called
'ParentRoleIDs' on the dataset, and apply the following security predicate:"$User.UserRoleld" ||
'Ownerld' == "$User.Id".

Answer: B

Explanation:
In addressing the requirements of Universal Containers to ensure proper visibility of order data across different levels of the sales hierarchy, the use of a security predicate based on role hierarchies is paramount.
Here's why Option B is the ideal approach:
* Flatten Operation on Role Hierarchy: This operation is essential as it allows for the creation of a simplified or "flattened" view of the hierarchical relationships within the organization. This flattened view enables the dataset to understand and respect the hierarchical structure in security implementations.
* Creating a Multi-value Attribute ('ParentRoleIDs'): By creating this attribute, the recipe can hold multiple role IDs that a particular user has visibility permissions for. This is crucial in a hierarchical organization like UC where data visibility needs to cascade down the hierarchy.
* Security Predicate: The predicate ('ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id' ==
'$User.Id' || 'Ownerld' == "$User.Id") effectively enforces that:
* A user can see all orders where their role matches any of the role IDs in the 'ParentRoleIDs' list (hierarchical visibility).
* A user can see all orders where they are specifically listed as a team member.
* A user can see all orders where they are the owner.
This approach aligns with best practices for implementing row-level security in CRM Analytics, ensuring data visibility is managed correctly according to the defined organizational hierarchy and individual data ownership.

NEW QUESTION # 53
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. Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
B. Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.
C. Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.

Answer: B

NEW QUESTION # 54
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