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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q100-Q105):

NEW QUESTION # 100
Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

A. Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.
B. Segment the account data per region and deploy the appropriate model for each segment.
C. Filter the account data per region and deploy the same model to all segments.

Answer: B

Explanation:
In deploying Einstein Discovery models that are tailored to different regions (EMEA, AMER, and APAC), the best approach is to segment the account data by region and apply the specific model designed for each segment. This method ensures the following:
* Relevance and Accuracy: Each model can be specialized to understand and predict based on regional dynamics, which may differ significantly across geographies in terms of market behavior, customer preferences, and economic conditions.
* Efficiency: Deploying region-specific models avoids the dilution of predictive power that might occur if a single model were used across all regions, which could lead to less accurate predictions.
* Scalability: This approach is scalable as UC can further refine each model as more regional data becomes available or as regional market conditions evolve.

NEW QUESTION # 101
A dashboard designer at Cloud Kicks creates a dashboard in CRM Analytics. The designer notices fields display on the dashboard with their APIlabels, such as "AccountId.Industry", and wants to change this behavior.
The designer also notices that the fields and their order appear to randomly change when a values table is created.
What should the CRM Analytics consultant explain to help the designer?

A. The default fields in a values table can be changed by reordering how fields appear in the JSON of the value table.
B. The default fields In a values table and the field labels can be modified in the dataset explorer.
C. The field labels can only be changed in the widget properties in the dashboard edit mode.

Answer: B

Explanation:
For the scenario at Cloud Kicks where fields display with their API labels and the fields in a values table seem to change order randomly, the correct approach is to modify these settings in the dataset explorer within CRM Analytics. This allows for a more intuitive display and control over how data is presented in dashboards.
Here's how these adjustments help:
* Modifying Field Labels: Changing the field labels from their API names to more user-friendly names enhances readability and user experience. This can be done directly in the dataset explorer, which affects how fields appear across all dashboards utilizing that dataset.
* Controlling Field Order: The order of fields in a values table can seem random if not explicitly set. By using the dataset explorer, a designer can specify the order in which fields appear, which then reflects consistently in the dashboard's values table.
This functionality is part of CRM Analytics' aim to provide flexible and customizable data visualization tools.
Training on these features is available through various Salesforce Trailhead modules that discuss dashboard and dataset customization techniques, providing practical insights and guided tutorials to enhance dashboard design and user interaction.
Both these explanations are consistent with best practices as outlined in Salesforce's CRM Analytics documentation and the Trailhead educational content, ensuring that users are well-equipped to leverage the full capabilities of CRM Analytics for effective data management and presentation.

NEW QUESTION # 102
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 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".
B. 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\\,
C. 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".

Answer: C

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 # 103
Universal Containers is setting up a Sales Analytics app to track the sales performance across all regions. The role hierarchy is well-structured with separate branches for various global regions.
Viewer access has been provided to the regional sales reps based on the following roles.
* Regional Sales - APAC
* Regional Sales - EMEA
* Regional Sales - LATAM
* Regional Sales - NA
The CRM Analytics project team receives a request to extend Editor
access to the app to 20 'Superusers' across all regions.
What is the optimal solution?

A. Create a new sharing rule for these users and assign it the Editor app access.
B. Create a new public group with these users and assign it the Editor app access.
C. Create new roles for these users and assign them the Editor app access.

Answer: B

NEW QUESTION # 104
Universal Containers' sales team is looking to build a dashboard that shows the total revenue from their top
10 accounts (based on revenue) and make it dynamic with the filters of the dashboard.
Which action is required to accomplish this?

A. Create a query and sort descending by revenue and limit it to 10 results.
B. Create 2 query with a selection based interaction asa filter using the limit query to pass in the 10 Account IDs.
C. Create a query with a results based interaction as a filter using the limit query to pass in the 10 Account IDs.

Answer: A

Explanation:
To create a dashboard showing the top 10 accounts by revenue dynamically, the best approach is to create a query that sorts the accounts in descending order by revenue and limits the results to the top 10. This query can then be used as the data source for the widget, ensuring that it dynamically adjusts based on the filters applied to the dashboard.
This method efficiently handles the task because sorting by revenue and limiting the results to 10 ensures that only the top accounts are displayed, and it remains dynamic with dashboard filters.

NEW QUESTION # 105
......

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