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  1. Asked: September 29, 2025In: Salesforce

    Why does my Flow fail when updating a record with “INSUFFICIENT_ACCESS_ON_CROSS_REFERENCE_ENTITY”?

    Aman Shrivastav
    Aman Shrivastav Begginer
    Added an answer on December 31, 2025 at 7:33 am

    The Flow user doesn’t have access to the related record being updated. Problem Explanation Flows respect object- and record-level security unless run in system context. Root Cause(s) 1. Missing record sharing 2. Flow runs in user context 3. Lookup field references restricted record Step-by-Step SoluRead more

    The Flow user doesn’t have access to the related record being updated.

    Problem Explanation

    Flows respect object- and record-level security unless run in system context.

    Root Cause(s)

    1. Missing record sharing

    2. Flow runs in user context

    3. Lookup field references restricted record

    Step-by-Step Solution

    1. Open Flow settings

    2. Enable Run in System Context (without sharing)

    3. Verify sharing rules on related object

    Edge Cases & Variations

    1. Screen Flows still respect field-level security

    2. Managed package objects may restrict access

    Common Mistakes to Avoid

    1. Assuming system context ignores all security

    2. Ignoring lookup object permissions

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  2. Asked: November 22, 2025In: Salesforce

    How do I fix “Too many SOQL queries: 101” in an Apex trigger?

    Aman Shrivastav
    Aman Shrivastav Begginer
    Added an answer on December 31, 2025 at 7:29 am

    Bulkify your trigger and move queries outside loops. Problem Explanation Salesforce enforces a governor limit of 100 SOQL queries per transaction. Queries inside loops multiply quickly and exceed this limit. Root Cause(s) 1. SOQL inside for loops 2. Multiple triggers on the same object 3. RecursiveRead more

    Bulkify your trigger and move queries outside loops.

    Problem Explanation

    Salesforce enforces a governor limit of 100 SOQL queries per transaction. Queries inside loops multiply quickly and exceed this limit.

    Root Cause(s)

    1. SOQL inside for loops

    2. Multiple triggers on the same object

    3. Recursive trigger execution

    Step-by-Step Solution

    1. Collect record IDs into a Set<Id>

    2. Run one SOQL query using WHERE Id IN :idSet

    3. Store results in a Map<Id, SObject>

    4. Access data from the map inside loops

    CODE SNIPPET:
    Map<Id, Account> accMap = new Map<Id, Account>(
    [SELECT Id, Name FROM Account WHERE Id IN :accIds]
    );

    Edge Cases & Variations

    1. Use Trigger.newMap in update triggers

    2. Watch for workflow or Flow-triggered recursion

    Common Mistakes to Avoid

    1. Querying per record

    2. Ignoring recursion guards

    3. Using Limits.getQueries() only for logging

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  1. Asked: March 11, 2025In: Salesforce

    Why do Lightning Web Components feel slower as data volume increases?

    Pawan Sehrawat
    Best Answer
    Pawan Sehrawat Begginer
    Added an answer on January 10, 2026 at 5:32 am

    The slowdown usually comes from server-side data handling rather than the UI itself. Large SOQL queries, excessive serialization, and returning unnecessary fields all increase response time. On the client side, rendering large data structures or repeatedly re-rendering components also adds overhead.Read more

    The slowdown usually comes from server-side data handling rather than the UI itself. Large SOQL queries, excessive serialization, and returning unnecessary fields all increase response time. On the client side, rendering large data structures or repeatedly re-rendering components also adds overhead.

    Most teams solve this by limiting queried fields, adding pagination, caching results, and ensuring Apex methods are purpose-built for UI consumption.
    Takeaway: LWC performance issues usually start in Apex, not JavaScript.

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  2. Asked: November 11, 2025In: Salesforce

    Why do Salesforce reports become slower as data volume increases?

    Harmeet Krishna
    Harmeet Krishna Begginer
    Added an answer on January 10, 2026 at 5:28 am

    Report performance is tightly coupled to data volume and selectivity. As tables grow, filters that were once efficient may no longer be selective enough. Formula fields, cross-object filters, and roll-ups further increase processing time. Joined reports are particularly expensive because each blockRead more

    Report performance is tightly coupled to data volume and selectivity. As tables grow, filters that were once efficient may no longer be selective enough. Formula fields, cross-object filters, and roll-ups further increase processing time.

    Joined reports are particularly expensive because each block is processed independently and then combined. If each block scans large datasets, performance degrades rapidly.

    Improving performance usually involves tightening filters, reducing unnecessary fields, and sometimes redesigning report types or archiving historical data.
    Takeaway: Report slowness is usually a data growth problem, not a reporting bug.

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  3. Asked: January 3, 2026In: Salesforce

    Why does Salesforce automation slow down record saves over time?

    Harmeet Krishna
    Best Answer
    Harmeet Krishna Begginer
    Added an answer on January 10, 2026 at 5:27 am

    This slowdown is almost always caused by automation stacking rather than a single inefficient component. Each record save can trigger record-triggered Flows, Apex triggers, validation rules, roll-ups, and even downstream automation on related objects. Individually these may be lightweight, but togetRead more

    This slowdown is almost always caused by automation stacking rather than a single inefficient component. Each record save can trigger record-triggered Flows, Apex triggers, validation rules, roll-ups, and even downstream automation on related objects. Individually these may be lightweight, but together they add measurable execution time.

    The issue often worsens because automation is added incrementally. New Flows or triggers are created to handle edge cases without considering existing logic, so the same record may be updated multiple times in one transaction. This leads to repeated evaluations, recalculations, and re-entry into automation chains.

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