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Customer Relationship Management Administration Questions

Administration and configuration of Customer Relationship Management platforms such as Salesforce, HubSpot, and Pipedrive. Candidates should understand core Customer Relationship Management concepts and the underlying data model, including accounts, contacts, leads, opportunities, custom objects, record types, relationship types such as lookups and master detail, and how records relate and flow through business processes. Expect hands on configuration and customization skills: creating and modifying objects and fields, page layouts, record types, validation rules, field dependencies, assignment and routing rules, automation using workflows and flows, and basic programmatic extensions and deployments. Reporting and dashboard capabilities are important: building and filtering reports, designing dashboard components, using summary and formula fields, scheduling and exporting reports, and constructing reports that support revenue metrics such as opportunity amount, stage, close date, probability, and custom revenue fields. Candidates should be able to explain data quality and governance practices including field mapping, import and export strategies, deduplication, data validation, maintenance, and practices to preserve reporting accuracy. Security and permission models should be understood at a high level, including profiles, roles, permission sets, sharing rules, and field level security and how those choices affect visibility and access. Finally, candidates should be prepared to discuss integration and data flow topics such as common integration patterns and middleware, batch versus real time synchronization, how external systems feed or consume Customer Relationship Management data, platform specific limitations and trade offs when designing scalable solutions, and examples of implementations or optimizations they have performed.

HardSystem Design
57 practiced
Design an end-to-end integration architecture that connects CRM, marketing automation, billing/ERP, data warehouse, and product analytics to support bi-directional sync and eventual consistency. Specify how you would determine the system of record for contacts, accounts, and revenue; what middleware or messaging patterns you would use; how you would implement CDC, error handling, retries, and data lineage for auditing.
HardTechnical
32 practiced
You need to redesign the data model to support multi-currency quotes and region-specific pricing tiers across product families. Detail schema changes for Products, Pricebooks, PricebookEntries, OpportunityLineItems, and any custom objects. Discuss exchange rate handling, historical reporting impact, data migration steps, and how you'd test multi-currency calculations.
HardTechnical
41 practiced
A dashboard that aggregates millions of Opportunity Line Items is timing out for users. Propose a plan to optimize reporting performance: include techniques such as aggregate reporting (pre-aggregated tables), skinny tables, reporting snapshots, ETL to a BI warehouse, indexing strategies, and user experience changes. Provide a migration plan with risk controls.
EasyTechnical
43 practiced
Explain the differences between profiles, permission sets, role hierarchy, and field-level security. Provide a concrete recommendation for restricting visibility and edit access to a 'Commission' field so that only sales managers and finance can view and edit it while reps cannot see it at all.
MediumTechnical
39 practiced
You must migrate custom objects, fields, record types, flows, and page layouts from a sandbox to production with minimal downtime. Compare change sets, the Metadata API/ANT, and SFDX source-driven deployments. Provide a recommended release strategy, sequencing for data migration, and fallback/rollback plan.

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