A financial services firm is implementing CRM Analytics to track loan application processing times. The source data from the Loan Origination System is updated every 15 minutes. The business requires dashboards to reflect this data with no more than a 30-minute delay. The data volume is moderate, but the transformation logic is minimal. Which data ingestion strategy should the consultant recommend to meet the low-latency requirement efficiently?
A consultant needs to create a lens that shows each Account's total opportunity amount alongside the total amount from its top-performing sales representative. The final output must be a single row per Account. Which SAQL query structure is required to achieve this complex grouping and conditional aggregation?
A healthcare provider, AetherHealth, has a 'PatientEncounters' dataset. They have the following security requirements: 1. Care Coordinators should only see records for patients in their assigned region (Region__c). 2. A specific group of auditors must have read-only access to the entire 'PatientEncounters' dashboard and dataset, overriding any regional restrictions. Which combination of security configurations is required to meet these needs? (Select TWO)
True or False: The primary function of an Einstein Discovery story is to provide descriptive analytics that summarize historical data patterns.
A large e-commerce company, Stratus Retail, wants to create a comprehensive 'Customer 360' dashboard in CRM Analytics. Their data landscape is complex, involving multiple sources and large volumes. **Current Situation:** Sales and Service data reside in Salesforce. Detailed web clickstream data is stored in an external cloud data warehouse (e.g., Snowflake). Customer loyalty program data is delivered daily as CSV files to an SFTP server. The clickstream dataset contains billions of rows, while the Salesforce and loyalty datasets are in the millions. **Requirements:** The executive team needs a single dashboard that visualizes sales trends, correlates them with web marketing campaigns (derived from clickstream data), and segments customers by loyalty tier. Due to the data volumes, performance is a critical concern. All data must be refreshed daily. **Constraints:** The solution must minimize data movement where possible and leverage native CRM Analytics capabilities for transformation and blending. The budget for external integration tools is limited. Which data layer architecture and dashboard design strategy should a consultant propose to meet these requirements effectively?
A sales performance dashboard is experiencing slow load times. A consultant's analysis reveals that the underlying dataset contains over 100 columns from the Opportunity object, but the dashboard only uses 15 of them. The dataflow that creates this dataset is complex, with multiple joins and transformations. What is the most effective first step to improve the dashboard's performance?
A consultant is reviewing a dataflow that combines Account, Opportunity, and Case data. The current design is inefficient, causing the dataflow to run slowly. The consultant wants to propose an optimized structure. Which of the following dataflow structures represents the most optimized approach for this scenario? ```mermaid flowchart TD subgraph Option A acc1[sfdcDigest Account] --> aug1[augment w/ Opps] aug1 --> aug2[augment w/ Cases] aug2 --> reg1[sfdcRegister] end subgraph Option B acc2[sfdcDigest Account] opp2[sfdcDigest Opps] case2[sfdcDigest Cases] acc2 & opp2 & case2 --> reg2[sfdcRegister] end subgraph Option C opp3[sfdcDigest Opps] case3[sfdcDigest Cases] opp3 --> aug3[augment w/ Accounts] case3 --> aug4[augment w/ Accounts] aug3 & aug4 --> union1[union] union1 --> reg3[sfdcRegister] end subgraph Option D acc4[sfdcDigest Account] --> reg4[sfdcRegister] opp4[sfdcDigest Opps] --> reg5[sfdcRegister] case4[sfdcDigest Cases] --> reg6[sfdcRegister] end ```
A consultant is writing a SAQL query to analyze sales trends over time. They need to generate a series of date values to ensure there are no gaps in their monthly analysis, even if no sales occurred in a particular month. The SAQL statement is: `q = ____(start='2023-01-01', end='2023-12-31', unit='month');` Which SAQL function should be used in the blank to generate the required date stream?
A consultant has implemented row-level security on an Opportunity dataset using a security predicate: `'OwnerId' == "$User.Id"`. Sharing inheritance is NOT enabled. A Sales Manager, who is not the owner of any opportunities but is above the owners in the role hierarchy, needs to see all opportunities belonging to their direct reports. How will the security predicate affect the Sales Manager's view of the data?
After running an Einstein Discovery story to predict customer churn, a consultant presents the results to stakeholders. A stakeholder points to the 'Top Predictive Factors' card and asks, "This says Contract Type is the most important factor. Does this mean changing the contract type will prevent churn?" What is the most accurate response for the consultant to provide?