What is the biggest challenge to data discovery in a cloud environment?
What is the biggest challenge to data discovery in a cloud environment?
The biggest challenge to data discovery in a cloud environment is determining the location of the data. In cloud environments, data is often dispersed across multiple locations and can move frequently due to the nature of cloud storage systems. Keeping track of where data is stored and ensuring it can be retrieved when needed is a primary concern.
When the data is multi tenant, you cannot have access to the each tenant and get the data , it is a big concern, when the question says whats the biggest concern, it should be multi tenancy.
Multi-Tenancy is also there Why "Multi Tenancy can't be answer
Multitenancy impact more Confidentiality or Jurisdiction requirement but Discovery still same
The ISC2 CBK lists the first challenge as "Identifying where your data is" so I guess Location is the 'right' answer despite what we think
Laws and regulations may limit the types or methods of discovery you can engage in, or what you can do with the data, as well as where and how you can store it. The EU’s General Data Protection Regulation (GDPR) has requirements that impact where and how you store data and thus may have an impact on discovery, and other regulations may also apply, depending on your organization’s compliance requirements.
according to Official ISC2 doc, ■■ Identifying where your data
And? Did you forget to add rest of the information?
I agree
Answer is C.
The biggest challenge to data discovery in a cloud environment is location, because cloud data is often distributed across multiple regions, data centers, and even different cloud providers. This creates difficulties in: Tracking where data resides → Cloud providers often store data in multiple locations for redundancy and performance optimization, making it hard to pinpoint its exact location. Legal & Compliance Issues → Different countries have data sovereignty laws (e.g., GDPR, CCPA) that regulate where data can be stored, making discovery even more complex. Dynamic Environments → Cloud workloads can scale, migrate, or get replicated across various regions, affecting data visibility.