Managed compute clusters can automatically scale their node count to match workload demand is correct.

Managed clusters are built to adjust capacity as jobs start and finish. The control plane observes resource use and applies autoscaling policies to add or remove worker nodes so the cluster matches workload demand. This approach helps maintain performance while avoiding unnecessary cost compared to leaving capacity fixed.

Compute clusters are limited to CPU only machine types is incorrect because cloud providers offer a range of machine types and hardware accelerators. Clusters can include GPUs or memory optimized instances when analytics workloads need them.

Clusters generally have higher downtime than single compute instances is incorrect because clusters are usually more resilient than a single instance. A distributed cluster can tolerate individual node failures and orchestration systems often replace or reroute work away from failed nodes automatically.

Clusters must be resized manually and do not scale automatically is incorrect because managed analytics clusters commonly support automatic resizing through autoscaling policies. Manual resizing may be available but it is not the only mode of operation for managed services.

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