Salesforce Scenario Based Questions 2025

This article concerns real-time and knowledgeable Salesforce Scenario-Based Questions 2025. It is drafted with the interview theme in mind to provide maximum support for your interview. Go through these Salesforce Tower Scenario-Based Questions 2025 to the end, as all scenarios have their importance and learning potential.📌

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1. How would you handle updating department details for existing employees using Data Loader?

  • First, export both Employee and Department data using Data Loader to get their IDs
  • In Excel, map each Employee to their respective Department ID
  • Use “Update” in Data Loader, map ID to ID and Department to Department
  • Ensure validation rules do not block the update (e.g., required fields like Aadhar/mobile)

2. While importing data into Salesforce, how do you handle validation rule failures?

  • Temporarily disable validation rules before data import if the rules block essential fields
  • Alternatively, ensure all mandatory fields like mobile number or Aadhar are correctly populated
  • Use error logs from Data Loader to identify and correct failed rows
  • Best practice: test imports with a small dataset first

3. What precautions should be taken before creating a Master-Detail relationship?

  • Ensure the child (detail) object has no existing records
  • If records exist, first create a lookup relationship, populate parent fields, then convert
  • Master-Detail can’t exist with orphan records — every child needs a parent
  • Master records control child record lifecycle (delete parent → deletes child)

4. Can you explain how view customization helps in Salesforce page layouts?

  • “Recently Viewed” is the default view and cannot be customized by end-users
  • Admins or users with permissions can create custom list views
  • Custom views can include selected fields like Department, filtered by all or specific users
  • Helps users see relevant info like Department alongside Employee names

5. What is the risk of directly editing standard Salesforce views?

  • Modifying standard views can affect all users and potentially disrupt their workflows
  • Best practice: clone the standard view, rename it, and make required changes
  • Keeps the original layout intact for fallback
  • Promotes safer customization, especially during testing

6. During a data update, only 2 out of 5 records were updated. How would you debug?

  • Check the error log generated by Data Loader
  • Most likely causes: missing mandatory fields, validation rule failures, or incorrect IDs
  • Cross-reference with the object’s required fields and relationship constraints
  • Fix errors and re-upload only the failed records

7. Describe a scenario where deletion of a parent record caused loss of child records.

  • In a Master-Detail setup (e.g., Employee → Devices), deleting the parent (Employee)
  • Automatically deletes all associated Devices (child records)
  • Critical to backup child data or reassign devices before deletion
  • Use Recycle Bin to restore mistakenly deleted parent and child records if needed

8. How do you make sure each device record is linked to a valid employee during import?

  • Export Employee IDs and names beforehand
  • In the device import CSV, map each device to a valid Employee ID
  • Use Data Import Wizard for easier field mapping
  • Avoid cross-reference errors by ensuring valid IDs from correct source file

9. When importing devices, the system threw an “Invalid cross reference key” error. What does that mean?

  • The Employee ID in the device import file didn’t match any valid records
  • Common mistake: using wrong or outdated reference IDs
  • Fix: re-export the current Employee data, and use correct IDs in import file
  • Also, check if you’re uploading the correct file version

10. What is the impact of changing a lookup relationship to master-detail after records exist?

  • Lookup allows records without parent references
  • After conversion to master-detail, all child records must have parent linked
  • Any orphan record blocks the conversion
  • Best practice: first populate parent fields, then convert the relationship

11. If Aadhar or mobile number validation blocks data load, what’s your strategy?

  • Identify validation rule name and required format
  • Use a temp CSV to update blank/incorrect formats
  • Disable or adjust validation during bulk load, then re-enable
  • Run one test record first to confirm rule compliance

12. Scenario: You exported employee data but ended with extra columns. How do you clean it?

  • Open file in Excel or CSV editor
  • Remove irrelevant columns like Created Date, Last View Date
  • Only keep essential columns: ID, Name, Department
  • Save clean file before launching Data Loader update

13. A user complains they can’t see department on the employee related list. What do you check?

  • Check the related list on the Department page layout
  • Ensure the lookup/master-detail field is on page layout
  • Confirm user profile has view rights for Department field
  • Recreate view or pin correct list if they’re using “Recently Viewed”

14. Can users customize fields in “Recently Viewed”? Explain your advice.

  • “Recently Viewed” layout is locked; only admins can change it
  • Advise cloning the default view and sharing it
  • Personal views allow user-specific customization
  • Cloned views ensure standard usability is preserved

15. How do you enforce field visibility rules via page layouts?

  • Create separate page layouts by profile or record type
  • Drag fields (like Department lookup) into layout
  • Assign the correct layout for each profile or type
  • Test by impersonating different user profiles

16. When updating Department via Data Loader, only two of five records succeeded. How do you follow up?

  • Open loader’s success and error files
  • Review error file for specific IDs and messages
  • Correct issues (e.g., missing Aadhar or wrong department ID)
  • Retry with corrected CSV

17. A department is deleted but employee records aren’t — what triggers cleanup?

  • It’s a lookup relationship
  • Default setting: “Clear the value” on parent deletion
  • Child records remain; Department field is cleared
  • Explain cascading behavior differences with master-detail

18. When would you choose a lookup vs a master-detail in Salesforce data model?

  • Use lookup if data might exist without parent or if child records aren’t mandatory
  • Use master-detail for tightly coupled objects and you want roll-up summary fields
  • Also determines deletion behavior: cascade vs clear value

19. How would you convert an existing lookup to master-detail without losing data?

  • Temporarily disable all validation
  • Populate the lookup field for all existing child records
  • Change relationship to master-detail via schema settings
  • Test deletion behavior in a sandbox first

20. Importing devices; you encountered “Invalid cross reference key.” How to debug?

  • Re-export Employee table to get current IDs
  • Verify correct CSV is being used
  • Ensure column headers match Salesforce field API names
  • Cross-check case-sensitive IDs

21. You want to view all devices assigned to an employee quickly. What view settings do you apply?

  • Pin the Device list view “All Devices” to your tab
  • Customize to add filters or columns: Device Type, Employee
  • Make it default for your profile
  • Pinned views streamline repetitive access

22. What are best practices when deleting a department that still has employees?

  • Choose “Clear the value” to avoid orphan records
  • OR manually reassign employees before deletion
  • Don’t select “Delete associated records” unless intentional
  • Notify users or export affected employees beforehand

23. Can you automate device assignment on employee creation?

  • Use Process Builder or Flow triggered on Employee create/update
  • Create a default Device record if criteria met
  • Map device fields via automation
  • Ensure criss-cross data accuracy and update rollback

24. You assign four devices and delete an Employee. What happens and how to undo?

  • With lookup: device Employee field is cleared
  • With master-detail: devices are deleted
  • Use Recycle Bin to restore cleared/deleted items
  • Restore Employee first, then either restore or reassign devices

25. How do you clarify which relationships are master-detail vs lookup just by viewing schema?

  • In Object Manager > Fields, types are shown explicitly
  • Master-detail field has cascade delete icon
  • Lookup supports orphan records unless “Always require parent” is set

26. What level of planning is needed before creating lookup-to-master-detail migration?

  • Audit existing records for orphan cases
  • Prepare batch script or Flow to assign missing parent IDs
  • Communicate expected behavior changes to stakeholders
  • Validate in sandbox thoroughly

27. How do you maintain data integrity during mass imports?

  • Use sandbox to test loads
  • Validate CSV data: formats, required IDs
  • Run small batch first; review success/error
  • Monitor validation rule behavior during load

28. Workflow: You must keep original views unchanged. What’s your approach?

  • Clone standard list views
  • Rename (e.g., “Employee Detail View (Custom)”)
  • Assign sharing permissions
  • Modify filters/columns only on clones

29. What is the impact on sharing if users see different views?

  • Custom views respect role and group sharing
  • Cloned views enforce consistent UI across peers
  • Reduces confusion from personal view discrepancies

30. Scenario: You must assign devices to new employees daily—what automation?

  • Set up a Flow triggered after Employee is created
  • Query default device pool and auto-assign
  • Send notification to employee/user
  • Track assignment via custom fields for audit

31. How do you debug failed CSV imports as an admin?

  • Dive into Data Loader’s success and error logs
  • Identify patterns: missing parent, validation rule fails
  • Correct IDs in source CSV
  • Re-run failed records only

32. A mobile number validation failed. How to make the rule global?

  • Use REGEX to enforce country-level formats
  • Allow blank if optional
  • Apply rule on Create and Update
  • Add error message guiding correct format

33. Reassigning employees from deleted department requires what considerations?

  • Export Employees with that department
  • Decide default department or “Unassigned” placeholder
  • Use Data Loader to update department IDs in bulk
  • Use validation to prevent blank department if required

34. What technique ensures child records are reassigned on parent deletion?

  • Use Lookup relationship with “Clear the value” unchecked
  • Or preemptively assign child records to a different parent via automation
  • Prevent loss of linkage

35. How to offer users flexibility in personalizing their views?

  • Educate them to clone standard view
  • Show them how to pin views on tabs
  • Use role-shared views for collaboration
  • Document process for new users

36. Tough: You need to prevent device orphaning if Employee deleted accidentally. What strategy?

  • Use master-detail instead of lookup
  • Or deploy Apex trigger to re-parent devices before deletion
  • Alternatively, block deletion if devices exist
  • Document and train on deletion protocol

37. Scenario: Device assignment report missing data. How to incorporate?

  • Build custom Report Type on Employee and Device (child relationship)
  • Include lookup/master-detail fields in report columns
  • Add filters like Device Type or Employee department
  • Pin report on Dashboards for regular use

38. What do you do when validation rules prevent data append operations?

  • Wrap operation in deployment by temporarily deactivating rules
  • Or adjust batch CSV to adhere to rules
  • Set Flow to auto-populate necessary fields
  • Reactivate rules post-import

39. How would you enforce device assignment only if employee has more than 5 years’ experience?

  • Add validation rule on the Device object referencing Employee
  • OR enforce via Flow or Apex before assignment
  • Use cross-object checks and error messaging

40. A department is being archived. How do you reassign all employees to a new department?

  • Export Employee list where Department = OldDept
  • In Excel, map to NewDept ID
  • Use Data Loader update in bulk
  • Verify via custom view or report

41. You need to bulk-update custom field ‘Relevant Experience.’ How?

  • Export Employee ID and Experience
  • Modify durations in CSV
  • Use Data Loader to update custom field
  • Use validation to check logical ratios, e.g., max experience vs age

42. Troubleshooting: You accidentally deleted devices of a still-active employee. Recovery steps?

  • Check Recycle Bin for deleted device records
  • Restore them manually or via Data Loader
  • Investigate deletion logs to prevent repetition
  • Adjust sharing or deletion permissions

43. Scenario: You have to explain lookup vs master-detail to a new joiner. How?

  • Give real Cases: Employee–Department (lookup), Device–Employee (should be master-detail)
  • Explain behavioural differences: cascade delete, required parent, roll-up summaries
  • Show schema page and related list behavior

44. Implementation: How would you track how many devices each employee has?

  • In a master-detail, add a Roll-Up Summary field on Employee that counts Devices
  • Display this field in the employee list view or page layout
  • Automates tracking without manual counting

45. How would you design a CSV for importing employees with multiple devices?

  • Use separate sheets or separate CSV imports
  • Employee CSV first—ensure IDs are generated
  • Device CSV referencing Employee IDs
  • Use Data Import Wizard or Data Loader sequentially

46. Scenario: You must train end-users to create custom views. What’s your approach?

  • Host a sandbox demo showing Recently Viewed vs Custom View
  • Walk through clone, pin, share steps
  • Provide step-by-step screenshots or doc
  • Ensure they can re-create as needed

47. Tough: You need to develop audit trail of department changes for employees. What options?

  • Use Field History Tracking on Department field in Employee
  • For deeper auditing, deploy an Apex Trigger logging old/new Department values
  • Use Shield orConnectedApp for compliance-grade audit

48. Scenario: A failed data load lasted for days — how avoid delays next time?

  • Preview small file first (5–10 records)
  • Check logs proactively
  • Pre-clean data: remove invalid IDs or format issues
  • During load, schedule batch runs for off-hours

49. API Limits: Uploading 10,000 device records—what performance considerations?

  • Use Bulk API (either via Data Loader or Workbench)
  • Set optimal batch size (2000–5000)
  • Monitor Salesforce API usage; stagger if limit nearing
  • Bulkify validation rules and triggers

50. Toughest: Design a flow to allow employees to self-assign devices without admin intervention?

  • Build a Screen Flow in Lightning for device request
  • Only show available spare devices via lookup filter
  • On submit, assign device, update roll-up summary
  • Trigger approval if above certain hierarchy or device value

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