Today most of the enterprises are selecting container technologies that require integration with their existing data centers and infrastructure solutions. With which three factors do enterprises…

Question

Options

• Acompliance
• Bdata security
• Cperformance and availability
• Dcost avoidance
• Evirtualization
• Fdata analytics
• Gscalability

• A
  2% (1)
• B
  92% (54)
• E
  2% (1)
• F
  5% (3)

Explanation

Container adoption introduces challenges that existing IT staff trained on traditional VMs or bare-metal infrastructure are often unprepared for. Data security (B) is a primary concern because containers share the host OS kernel, creating a fundamentally different security boundary than hypervisor-based VMs - staff must learn new concepts like image scanning, namespace isolation, and secrets management. Performance and availability (C) is a struggle because containers are ephemeral and stateless by design, which conflicts with traditional ops workflows around persistent services, high availability, and SLA management. Scalability (G) is difficult because container orchestration (e.g., Kubernetes) introduces entirely new paradigms for scaling workloads dynamically across a cluster that differ significantly from traditional capacity planning. Compliance (A) is a concern but is typically a governance/process issue rather than a staff enablement gap. Cost avoidance (D), virtualization (E), and data analytics (F) are either pre-existing competencies or separate disciplines not directly tied to container operations skills gaps.

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