Data Sanitization for Cloud ERP Migration | CAS-003 Exam Prep

Why Sanitize Client Data for Legacy to Cloud ERP Migration?

Question

An organization is currently working with a client to migrate data between a legacy ERP system and a cloud-based ERP tool using a global PaaS provider.

As part of the engagement, the organization is performing data deduplication and sanitization of client data to ensure compliance with regulatory requirements.

Which of the following is the MOST likely reason for the need to sanitize the client data?

Answers

Explanations

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A. B. C. D. E.

B.

The most likely reason for sanitizing client data in the given scenario is to ensure compliance with regulatory requirements.

Sanitizing data refers to the process of removing or modifying confidential or sensitive information from a dataset. This is done to protect the privacy and security of individuals whose personal information is being processed, as well as to comply with legal and regulatory requirements that govern the handling of such information.

In the scenario given, the organization is working with a client to migrate data between a legacy ERP system and a cloud-based ERP tool using a global PaaS provider. This involves transferring sensitive data from one system to another, which increases the risk of data breaches, data loss, or unauthorized access to the data.

As a result, the organization is performing data deduplication and sanitization of client data to ensure compliance with regulatory requirements. This is likely because the client's data contains personally identifiable information (PII), financial information, or other sensitive data that is subject to data protection regulations such as GDPR, HIPAA, or PCI DSS.

Data aggregation, data sovereignty, data isolation, data volume, and data analytics are not directly related to the need for sanitizing client data in this scenario.

  • Data aggregation refers to the process of collecting and combining data from multiple sources to generate insights or inform decision-making.
  • Data sovereignty refers to the concept that data is subject to the laws and regulations of the country or region in which it is stored or processed.
  • Data isolation refers to the practice of separating data sets or processes to minimize the risk of data breaches or unauthorized access.
  • Data volume refers to the size or amount of data that is being processed or stored.
  • Data analytics refers to the process of using statistical or machine learning techniques to extract insights from data.

While these factors may be relevant to the overall data migration and ERP implementation process, they do not directly explain the need to sanitize client data.