Your organization must meet PCI-DSS requirements and stores card-holder data in BigQuery. During a compliance review, auditors ask you to create a responsibility matrix mapping each security control to Google versus your company. According to Google Cloud's shared responsibility model for BigQuery, which activity remains solely your organization's responsibility?
Applying security patches to the operating systems hosting the BigQuery storage layer.
Encrypting data at rest within BigQuery using Google-managed keys.
Managing IAM policies that grant data analysts access to specific BigQuery datasets.
Maintaining the global network infrastructure that interconnects Google data centers.
Under Google Cloud's shared responsibility model, Google is responsible for the security of the cloud-this includes the physical facilities, global network backbone, and patching of the underlying hardware and managed service infrastructure. Google also automatically encrypts BigQuery data at rest with Google-managed keys, so customers do not have to implement or maintain that control themselves. In contrast, customers are responsible for security in the cloud, which covers how they configure and control access to their own resources. Defining and maintaining Identity and Access Management (IAM) policies that decide who can read or modify BigQuery datasets is therefore the customer's obligation. Failing to do so would leave data exposed even though Google continues to secure the underlying platform.
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What is Google Cloud's shared responsibility model?
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How do IAM policies help secure BigQuery datasets?
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What encryption methods does Google use for data at rest in BigQuery?
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What is Google Cloud's shared responsibility model?
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What are IAM policies, and why are they important?
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How does Google Cloud encrypt data at rest in BigQuery?
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GCP Professional Data Engineer
Designing data processing systems
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