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| Section | Objectives |
|---|---|
| Topic 1: Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows |
| Topic 2: Security and Access | - App and dataset permissions - Row-level security and sharing rules |
| Topic 3: Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations |
| Topic 4: Data Integration and Connectivity | - Data synchronization and refresh strategies - Connecting external data sources |
| Topic 5: Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization |
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NEW QUESTION # 87 
Which timeseries statement will fix the query?
Answer: C
NEW QUESTION # 88
A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.
It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at theOpportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.
Which approach ensures data security for the new Opportunity dataset?
Answer: B
Explanation:
For ensuring that the security settings on the Opportunity object are appropriately replicated in the CRM Analytics environment, running the Sharing Inheritance Coverage Assessment is an effective strategy. Here's why:
* Assessment of Inheritance Feasibility: This tool assesses whether sharing rules on the Opportunity object can be effectively inherited in the analytics environment, ensuring that the organization-wide defaults and role hierarchy are maintained.
* Identification of Limitations: The assessment will identify any potential issues or limitations with inheriting sharing settings due to the large number of records (up to 20,000 for the VP of Sales), providing clear insights on how to proceed.
* Guided Decision Making: Based on the outcome of the assessment, the consultant can make informed decisions about whether to directly inherit sharing or consider alternative strategies like flattening the role hierarchy or using security predicates.
NEW QUESTION # 89
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?
Answer: B
NEW QUESTION # 90
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?
Answer: C
Explanation:
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
* Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
* Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
* Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.
NEW QUESTION # 91
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?
Answer: A
NEW QUESTION # 92
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