D-ECS-DS-23 · Question #4
What access control mechanisms are crucial for implementing data permissions in an ECS cluster for client access?
The correct answer is A. Role-Based Access Control (RBAC) D. Identity and Access Management (IAM) policies. RBAC (A) and IAM policies (D) are the correct choices because they directly govern who can access what data within an ECS cluster - RBAC assigns permissions based on user roles within the cluster (e.g., Kubernetes RBAC for ECS task definitions and resources), while IAM policies…
Question
What access control mechanisms are crucial for implementing data permissions in an ECS cluster for client access?
Options
- ARole-Based Access Control (RBAC)
- BNetwork-based ACLs
- CPhysical security of the data center
- DIdentity and Access Management (IAM) policies
How the community answered
(54 responses)- A91% (49)
- B6% (3)
- C4% (2)
Explanation
RBAC (A) and IAM policies (D) are the correct choices because they directly govern who can access what data within an ECS cluster - RBAC assigns permissions based on user roles within the cluster (e.g., Kubernetes RBAC for ECS task definitions and resources), while IAM policies control AWS-level permissions for services, users, and roles interacting with the ECS cluster and its underlying data. Together, they form a layered identity-based access control model that enforces least privilege at both the application and infrastructure levels.
B (Network-based ACLs) is wrong because ACLs control network traffic flow (which IPs/ports can communicate), not data-level permissions - they can't distinguish between authenticated users or enforce role-specific data access. C (Physical security) is a red herring; it protects hardware in the data center and is entirely irrelevant to logical data permissions within a cluster.
Memory tip: Think "ID check at the door" - IAM checks your AWS identity before you enter the building, RBAC checks your role-based badge once you're inside. Network ACLs are the fence outside, not the bouncer checking credentials.
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