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Answer : A

Comprehensive and Detailed Explanation From Exact Extract:

The Fleet Command Operator role is designed to provide users with read-only access to locations and dashboards while granting full read/write/admin rights for applications and deployments. This matches the described access requirements where the user can manage applications and deployments but only view locations and dashboards without modification rights. Other roles like Fleet Command Admin have broader permissions, Supporter has more limited access, and Viewer is primarily read-only for all resources.

Answer : C

Comprehensive and Detailed Explanation From Exact Extract:

A heartbeat network is a common technique used in HA clusters to continuously monitor the health and availability of cluster nodes. It allows nodes to detect failures and coordinate failover actions, thus preventing split-brain scenarios where multiple nodes believe they are active simultaneously, causing data corruption or conflicts. Manual failover, load balancers, or data replication alone do not prevent split-brain without this monitoring mechanism.

Answer : B

Comprehensive and Detailed Explanation From Exact Extract:

The NVIDIA AI Enterprise Virtual Machine Images (VMIs), including those needed for NVIDIA Morpheus deployments, are made available through the major cloud marketplaces such as Azure Marketplace, Google Cloud Marketplace, and Amazon Web Services Marketplace. This provides easy, standardized access and deployment options for enterprise users. While NGC hosts containers and models, the VMIs specifically are offered via cloud marketplaces.

Answer : D

Comprehensive and Detailed Explanation From Exact Extract:

For large-scale AI workloads such as distributed training of large language models, the networking infrastructure must deliver extremely low latency and very high throughput to keep GPUs and compute nodes efficiently synchronized. NVIDIA highlights that InfiniBand networking is essential in AI data centers because it provides ultra-low latency, high bandwidth, adaptive routing, congestion control, and noise isolation---features critical for high-performance AI training clusters.

InfiniBand acts not just as a network but as a computing fabric, integrating compute and communication tightly. Microsoft Azure, a leading cloud provider, uses thousands of miles of InfiniBand cabling to meet the demands of their AI workloads, demonstrating its importance. While Ethernet-based solutions like NVIDIA's Spectrum-X are emerging and optimized for AI, InfiniBand remains the premier choice for AI supercomputing networks.

Therefore, for maximizing performance in a new AI cluster focused on distributed training, InfiniBand networking (option D) is the recommended architecture. Other Ethernet-based approaches provide scalability and bandwidth but cannot match InfiniBand's specialized low-latency and high-throughput performance for AI.

Answer : A

Comprehensive and Detailed Explanation From Exact Extract:

In Kubernetes architecture, the control plane is composed of several core components including the kube-apiserver, etcd (the cluster's key-value store), kube-scheduler, and kube-controller-manager. These manage the overall cluster state, scheduling, and orchestration of workloads. The worker nodes are responsible for running the actual containers and include the kubelet (agent that communicates with the control plane) and kube-proxy (handles network routing for services). Other options incorrectly assign these components or roles.