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  1. Asked: May 11, 2026In:

    Why does my Salesforce Flow fail in production but work in sandbox?

    Dimitri Shyplenkov
    Dimitri Shyplenkov Begginer

    Production data, permissions, or automation differ from sandbox. Problem Explanation Sandboxes rarely mirror production exactly, leading to runtime differences. Root Cause(s) 1. Missing permissions 2. Different record data 3. Additional automation in prod Step-by-Step Solution 1. Debug Flow in produRead more

    Production data, permissions, or automation differ from sandbox.

    Problem Explanation

    Sandboxes rarely mirror production exactly, leading to runtime differences.

    Root Cause(s)
    1. Missing permissions
    2. Different record data
    3. Additional automation in prod
    Step-by-Step Solution
    1. Debug Flow in production safely
    2. Compare permissions and profiles
    3. Review active automation
    Edge Cases & Variations
    1. Production-only validation rules
    2. Integration users behave differently
    Common Mistakes to Avoid
    1. Testing only in sandbox
    2. Assuming identical environments

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  2. Asked: May 11, 2026In:

    Why does my Apex HTTP callout fail with “Callout not allowed from this context”?

    Vaibhav Sharma
    Vaibhav Sharma Begginer

    Callouts are not permitted from synchronous trigger execution. Problem Explanation Salesforce restricts HTTP callouts from certain contexts, including standard triggers and some Flow actions. Root Cause(s) 1. Callout inside trigger 2. Callout inside non-async Apex 3. Mixed DML before callout Step-byRead more

    Callouts are not permitted from synchronous trigger execution.

    Problem Explanation

    Salesforce restricts HTTP callouts from certain contexts, including standard triggers and some Flow actions.

    Root Cause(s)
    1. Callout inside trigger
    2. Callout inside non-async Apex
    3. Mixed DML before callout
    Step-by-Step Solution
    1. Move callout logic to @future(callout=true) or Queueable
    2. Invoke async method from trigger
    3. Ensure no DML before callout in same transaction
    Edge Cases & Variations
    1. Platform Events allow callouts asynchronously
    2. Named Credentials simplify auth handling
    Common Mistakes to Avoid
    1. Calling APIs directly from triggers
    2. Ignoring transaction order

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  3. Asked: May 10, 2026In:

    Why does my deployed LLM give inconsistent answers to the same prompt?

    Anjali Singhania
    Anjali Singhania Begginer

    This is usually due to sampling settings rather than model instability. Parameters like temperature, top-k, and top-p introduce randomness. If these aren’t fixed, outputs will vary even for identical inputs. Set deterministic decoding for consistent responses, especially in production. Also verify tRead more

    This is usually due to sampling settings rather than model instability.
    Parameters like temperature, top-k, and top-p introduce randomness. If these aren’t fixed, outputs will vary even for identical inputs. Set deterministic decoding for consistent responses, especially in production. Also verify that prompts don’t include dynamic metadata like timestamps.
    Common mistakes:

    1. Leaving temperature > 0 unintentionally
    2. Mixing deterministic and sampled decoding
    3. Assuming reproducibility by default

    Determinism must be explicitly configured.

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  4. Asked: May 10, 2026In:

    Why does my CI pipeline fail only on merge but pass on pull requests?

    Arthur Parker
    Arthur Parker Begginer

    Merge pipelines and pull request pipelines often run under different security rules, even though the code is the same. Many CI systems restrict secrets, credentials, or cloud access depending on how the pipeline was triggered. A pipeline running on a merge to the main branch might use a different idRead more

    Merge pipelines and pull request pipelines often run under different security rules, even though the code is the same.
    Many CI systems restrict secrets, credentials, or cloud access depending on how the pipeline was triggered. A pipeline running on a merge to the main branch might use a different identity, environment, or permission set than one running on a pull request.
    This makes failures feel inconsistent, but the difference is usually intentional from a security perspective.
    Takeaway: When CI behaves differently, compare identities and secrets—not code changes.

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  5. Asked: May 11, 2026In:

    Why do Salesforce deployments succeed but functionality still breaks?

    Arshan Siddiqui
    Arshan Siddiqui Begginer

    Deployments move metadata, not configuration completeness. Permission sets, licenses, feature toggles, and org-level settings are often excluded. As a result, deployed features may exist but remain inaccessible or inactive. Another issue is data dependencies. Some automation relies on specific recorRead more

    Deployments move metadata, not configuration completeness. Permission sets, licenses, feature toggles, and org-level settings are often excluded. As a result, deployed features may exist but remain inaccessible or inactive.
    Another issue is data dependencies. Some automation relies on specific records, picklist values, or settings that aren’t deployed automatically.
    Post-deployment validation and configuration are essential to ensure functionality matches expectations.
    Takeaway: Deployment success doesn’t guarantee operational readiness.

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  6. Asked: May 10, 2026In:

    Why does my Salesforce deployment succeed but features don’t work?

    Vaibhav Sharma
    Vaibhav Sharma Begginer

    Metadata deployed successfully, but required settings or permissions are missing. Problem Explanation Deployments don’t automatically configure permissions, licenses, or settings. Root Cause(s) 1. Missing permission sets 2. Feature not enabled in target org 3. Post-deployment steps skipped Step-by-SRead more

    Metadata deployed successfully, but required settings or permissions are missing.

    Problem Explanation

    Deployments don’t automatically configure permissions, licenses, or settings.

    Root Cause(s)
    1. Missing permission sets
    2. Feature not enabled in target org
    3. Post-deployment steps skipped
    Step-by-Step Solution
    1. Verify feature activation
    2. Assign permission sets
    3. Validate profiles and access
    Edge Cases & Variations
    1. Sandboxes differ from production
    2. Scratch orgs need manual setup
    Common Mistakes to Avoid
    1. Assuming deployment = configuration
    2. Ignoring post-deploy checklist

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  7. Asked: May 10, 2026In:

    Why does my SOQL query fail with “MALFORMED_QUERY: unexpected token”?

    Jonathan
    Jonathan Begginer

    There is a syntax error in your SOQL statement. Problem Explanation SOQL is strict about keywords, spacing, and field names. Root Cause(s) 1. Missing commas 2. Reserved keywords as field names 3. Incorrect relationship syntax Step-by-Step Solution 1. Validate query in Developer Console 2. Check relaRead more

    There is a syntax error in your SOQL statement.

    Problem Explanation

    SOQL is strict about keywords, spacing, and field names.

    Root Cause(s)

    1. Missing commas
    2. Reserved keywords as field names
    3. Incorrect relationship syntax

    Step-by-Step Solution

    1. Validate query in Developer Console
    2. Check relationship names via Schema Builder
    3. Avoid dynamic string concatenation errors

    Edge Cases & Variations

    1. API version differences affect functions
    2. Aggregate queries require GROUP BY

    Common Mistakes to Avoid

    1. Assuming SQL == SOQL
    2. Using wrong child relationship names

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