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| Section | Objectives |
|---|---|
| Topic 1: Security and Access | - App and dataset permissions - Row-level security and sharing rules |
| Topic 2: Einstein Discovery | - Insights interpretation and recommendations - Model building and predictions |
| Topic 3: Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
| Topic 4: Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
| Topic 5: Data Management and Preparation | - Data transformation and dataflows - Dataset creation and configuration in CRM Analytics |
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NEW QUESTION # 24
CRM Analytics consultant receives a new project from a client that wants to implement CRM Analytics. They do not currently have CRM Analytics but want guidance on how to ensure their users have the correct access.
They have 1,000 users with a small team of three people who will build both datasets and dashboards. An additional 15 people should be able to only create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
Which recommendation should the consultant give the client?
Answer: A
Explanation:
For a client implementing CRM Analytics with a variety of user roles, creating and assigning Salesforce permission sets is the most flexible and scalable solution. Here's why:
* Flexibility and Customization: Permission sets allow for specific access rights to be compiled and assigned based on user roles without altering their existing profiles.
* Scalability: As the organization grows or roles change, permission sets can be easily adjusted or reassigned to accommodate new requirements or users.
* Simplified Management: Managing access via permission sets simplifies the administration of user rights, making it easier to ensure that each group has the appropriate level of access.
NEW QUESTION # 25
Universal Containers (UC) recently activated data sync in the CRM Analytics data manager. After running the sync, UC notices that the aggregate sum of a field within the company's dataset is different than what they manually calculated by summing the same data in the Salesforce object.
What is causing the issue with the newly synced data?
Answer: B
NEW QUESTION # 26
What can a consultant accomplish in the Predictions page of a model?
Answer: B
Explanation:
In the Predictions page of a model within CRM Analytics (formerly Einstein Discovery), users have the capability to interact with the model to see how different input values affect predictions. Here's a detailed look at what can be accomplished:
* Manual Input of Predictor Values: Users can manually input or change values for predictor fields to see how these changes alter the predicted outcomes. This is especially useful for testing hypothetical scenarios and understanding how sensitive the model is to various inputs.
* Real-Time Interaction: This functionality provides a hands-on way to explore the model's behavior, offering immediate feedback on how input variations impact predictions, which can help in refining the model or in training users on its application.
* Scenario Analysis: By adjusting predictor values, users can conduct scenario analyses, which are crucial for strategic planning and decision-making.
NEW QUESTION # 27
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?
Answer: C
NEW QUESTION # 28
Cloud Kicks' Salesforce org has multiple currencies enabled. This company's business intelligence team uses CRM Analytics to build a dataflow/recipe that creates a dataset, "OpportunityDataSet", which is populated with data extracted from Opportunity. One of the extracted fields is the standard field, Amount.
Which currency will the Amount values be shown in "OpportunityDataSet"?
Answer: B
NEW QUESTION # 29
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