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Risk Response and MitigationeasyMultiple ChoiceObjective-mapped

CRISC Risk Response and Mitigation Practice Question

A global manufacturing company is implementing a new ERP system across multiple regions. The project manager has identified a risk that data migration from legacy systems may cause data corruption, leading to production delays. The risk owner proposes conducting a full data reconciliation after migration. However, the IT director argues that this would be too time-consuming and suggests only sampling data for verification. The risk manager must decide on the risk response. The project timeline is tight, and the company has a low tolerance for data integrity issues. Which of the following is the BEST course of action?

⚠ Common exam trap

Many candidates choose data sampling (Option A) as a compromise to save time, overlooking that the company's low tolerance for data integrity issues demands full verification, not a statistical shortcut.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Implement the full data reconciliation as proposed by the risk owner

Full data reconciliation is the correct risk response because the company has a low tolerance for data integrity issues and the risk of data corruption could cause production delays. While time-consuming, this approach directly mitigates the identified risk by ensuring all migrated data is verified, aligning with the risk appetite. Sampling would leave a margin of error unacceptable for a low-tolerance environment, and the other options either fail to address the risk or are impractical.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Accept the risk and proceed with data sampling to save time

    Why it's wrong here

    Sampling may not detect all corruption, which conflicts with low risk tolerance.

  • Avoid the risk by postponing the ERP implementation

    Why it's wrong here

    Postponement is too drastic and not a practical response to a specific migration risk.

  • Implement the full data reconciliation as proposed by the risk owner

    Why this is correct

    Full reconciliation directly addresses the risk and aligns with low tolerance for data integrity issues.

  • Transfer the risk by purchasing insurance for data corruption

    Why it's wrong here

    Insurance does not prevent data corruption; it only provides financial compensation, which may not solve the operational impact.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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