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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Integration and Connectivity	- Data synchronization and refresh strategies - Connecting external data sources
Topic 2: Einstein Discovery	- Model building and predictions - Insights interpretation and recommendations
Topic 3: Security and Access	- Row-level security and sharing rules - App and dataset permissions
Topic 4: Data Management and Preparation	- Data transformation and dataflows - Dataset creation and configuration in CRM Analytics
Topic 5: Dashboard and App Development	- Lens creation and dashboard design - Interactive filters and user experience optimization

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q27-Q32):

NEW QUESTION # 27
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?

A. Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.
B. Create an XMD node in the recipe to change the label and color of the values in the fields.
C. In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.

Answer: C

NEW QUESTION # 28
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. Increase the sharing descriptor limit in the analytics settings.
B. Contact Salesforce Support to increase the sharing descriptor limit.
C. Use security predicates in CRM Analytics.

Answer: C

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 usesecurity 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.
Reference:Security predicatesand their use to optimize data visibility and sharing within CRM Analytics are explained in theCRM Analyticsdocumentation related to security and performance.

NEW QUESTION # 29
A CRM Analytics consultant is asked to help a company report on its sales activity. The company wants to train some users to create dashboards. The company also wants one other specific team to be able to use the dashboards.
What should the consultant do to address these requirements?

A. configure a permission set license assignment with two different levels of access.
B. Use a permission set license with two different levels of access.
C. Clone the existing permission set with different system permissions.

Answer: A

Explanation:
To meet the requirement of training some users to create dashboards while giving another team access to use (but not modify) those dashboards, the best approach is to configure a permission set license assignment with two different levels of access. You can assign specific permissions for dashboard creation to one group of users and viewing permissions to the other. This ensures the appropriate level of access based on the role without the need for duplicating permission sets or licenses unnecessarily.

NEW QUESTION # 30
ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?

A. A Identify additional data that may have a stronger relationship with the outcome variable.
B. Edit the model accuracy settings and rerun it to evaluate the correlation.
C. Use the appropriate algorithm and update the model.

Answer: A

NEW QUESTION # 31
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. Segment the account data per region and deploy the appropriate model for each segment.
B. Filter the account data per region and deploy the same model to all segments.
C. Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.

Answer: A

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 # 32
......

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