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Answer: Distribute worker nodes across multiple availability zones to mitigate the risk of zone failures.
**Correct Answer: D** - Distributing worker nodes across multiple availability zones ensures the cluster remains operational even if one zone fails, providing high availability and fault tolerance. **Incorrect Options:** - **A**: While automatic scaling adjusts cluster size based on demand, it doesn't ensure fault tolerance across zones. - **B**: Preemptible VMs can be terminated by Google Cloud with short notice, making them unsuitable for high availability needs. - **C**: A single-master, single-worker cluster lacks fault tolerance and high availability, posing a single point of failure risk.
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You're tasked with designing a Cloud Dataproc cluster to handle large-scale data analytics workloads with high availability and fault tolerance. Which strategy should you implement?
A
Configure automatic scaling to dynamically adjust the number of worker nodes based on workload demand.
B
Enable preemptible VMs for all nodes in the cluster to reduce costs.
C
Create a single-master, single-worker cluster to minimize resource consumption.
D
Distribute worker nodes across multiple availability zones to mitigate the risk of zone failures.
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