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  1. Asked: December 29, 2025In: Salesforce

    Why do Salesforce integrations create duplicate records unexpectedly?

    Zidane Prichette
    Best Answer
    Zidane Prichette Begginer
    Added an answer on January 10, 2026 at 6:52 am

    Duplicates usually occur when external IDs are missing, null, or not truly unique. Timing issues can also cause duplicates when concurrent requests attempt to insert before an ID is committed. Another cause is case sensitivity or whitespace differences in external ID values, which Salesforce treatsRead more

    Duplicates usually occur when external IDs are missing, null, or not truly unique. Timing issues can also cause duplicates when concurrent requests attempt to insert before an ID is committed.

    Another cause is case sensitivity or whitespace differences in external ID values, which Salesforce treats as distinct.

    Ensuring strict uniqueness and validating incoming data reduces this risk significantly.
    Takeaway: Upserts are only as reliable as the data keys they rely on.

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  2. Asked: February 12, 2025In: Salesforce

    Why do Salesforce changes feel risky in mature orgs?

    Zidane Prichette
    Zidane Prichette Begginer
    Added an answer on January 10, 2026 at 6:52 am

    Interdependencies multiply. Small changes ripple across automation. Lack of isolation increases risk. Strong testing reduces fear.Takeaway: Complexity amplifies risk

    Interdependencies multiply. Small changes ripple across automation.

    Lack of isolation increases risk.

    Strong testing reduces fear.
    Takeaway: Complexity amplifies risk

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  3. Asked: September 22, 2025In: Salesforce

    Why does Salesforce struggle with complex transactional logic?

    Zidane Prichette
    Zidane Prichette Begginer
    Added an answer on January 10, 2026 at 6:50 am

    Salesforce transactions are constrained by limits and execution order. Complex workflows stress the model. Async patterns help.Takeaway: Design for simplicity.

    Salesforce transactions are constrained by limits and execution order.

    Complex workflows stress the model.

    Async patterns help.
    Takeaway: Design for simplicity.

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  4. Asked: December 22, 2025In: Salesforce

    Why do Salesforce UIs hide underlying errors?f

    Zidane Prichette
    Zidane Prichette Begginer
    Added an answer on January 10, 2026 at 6:49 am

    Salesforce abstracts internals for safety. Logs reveal details. Error handling helps users.Takeaway: Surface meaningful errors where possible.

    Salesforce abstracts internals for safety.

    Logs reveal details.

    Error handling helps users.
    Takeaway: Surface meaningful errors where possible.

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  5. Asked: September 9, 2025In: Salesforce

    Why do Salesforce orgs accumulate technical debt so quickly?

    Zidane Prichette
    Zidane Prichette Begginer
    Added an answer on January 10, 2026 at 6:47 am

    Quick fixes accumulate. Cleanup is postponed. Regular refactoring helps.Takeaway: Technical debt is inevitable without discipline.

    Quick fixes accumulate.

    Cleanup is postponed.

    Regular refactoring helps.
    Takeaway: Technical debt is inevitable without discipline.

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  6. Asked: September 9, 2025In: Salesforce

    Why do Salesforce integrations require more monitoring than expected?

    Merab
    Merab Begginer
    Added an answer on January 10, 2026 at 6:43 am

    Salesforce doesn’t provide built-in integration observability. Failures may not surface visibly. Monitoring ensures early detection. Logs and alerts are essential.Takeaway: Integration reliability depends on visibility.

    Salesforce doesn’t provide built-in integration observability. Failures may not surface visibly.

    Monitoring ensures early detection.

    Logs and alerts are essential.
    Takeaway: Integration reliability depends on visibility.

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  7. Asked: March 9, 2025In: Salesforce

    Why do Salesforce roll-up summaries lag behind updates?

    Merab
    Merab Begginer
    Added an answer on January 10, 2026 at 6:41 am

    Roll-ups recalculate asynchronously in some cases. Load affects timing. Expect eventual consistency. Design accordingly.Takeaway: Roll-ups aren’t always real-time.

    Roll-ups recalculate asynchronously in some cases. Load affects timing.

    Expect eventual consistency.

    Design accordingly.
    Takeaway: Roll-ups aren’t always real-time.

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  1. Asked: May 22, 2025In: MLOps

    How do I handle missing features in production safely?

    Hosea Grealish
    Hosea Grealish Begginer
    Added an answer on January 16, 2026 at 9:13 am

    Missing features should be handled explicitly, not implicitly. Define clear defaults or fallback behavior during training and inference. Consider rejecting predictions when critical features are missing. Monitor missing-value rates in production to catch upstream issues early. Common mistakes includRead more

    Missing features should be handled explicitly, not implicitly.

    Define clear defaults or fallback behavior during training and inference. Consider rejecting predictions when critical features are missing.

    Monitor missing-value rates in production to catch upstream issues early.

    Common mistakes include:

    Relying on framework defaults

    Ignoring missing feature trends

    Treating all features as optional

    The takeaway is that silent assumptions create silent failures.

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  2. Asked: May 1, 2025In: MLOps

    How do I safely deprecate an old model version?

    Hosea Grealish
    Hosea Grealish Begginer
    Added an answer on January 16, 2026 at 9:12 am

    Deprecation should be gradual and observable. First, confirm traffic routing shows zero or near-zero usage. Keep logs for a short grace period before removal. Notify downstream teams and remove references in configuration files. Avoid deleting artifacts immediately. Archive them until confidence isRead more

    Deprecation should be gradual and observable.

    First, confirm traffic routing shows zero or near-zero usage. Keep logs for a short grace period before removal. Notify downstream teams and remove references in configuration files. Avoid deleting artifacts immediately. Archive them until confidence is high.

    Common mistakes include: Hard-deleting models too early, Forgetting scheduled jobs and ignoring rollback scenarios

    The takeaway is that model lifecycle management includes clean exits, not just deployments.

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  3. Asked: July 27, 2025In: MLOps

    Why does my model behave differently after a framework upgrade?

    Hosea Grealish
    Hosea Grealish Begginer
    Added an answer on January 16, 2026 at 9:10 am

    Framework upgrades can change numerical behavior. Optimizations, default settings, and backend implementations may differ between versions. These changes can affect floating-point precision or execution order.Always validate models after upgrades using fixed test datasets. If differences matter, pinRead more

    Framework upgrades can change numerical behavior.

    Optimizations, default settings, and backend implementations may differ between versions. These changes can affect floating-point precision or execution order.Always validate models after upgrades using fixed test datasets. If differences matter, pin versions or retrain models explicitly.

    Common mistakes include: Assuming backward compatibility, Skipping post-upgrade validation and upgrading multiple components at once

    The takeaway is that ML dependencies are part of model behavior.

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