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Your Dataflow pipeline, which processes data from a Pub/Sub topic and writes it to a BigQuery dataset in the EU, is facing delays during peak periods due to all three n1-standard-1 workers reaching maximum CPU utilization. What are two effective strategies to enhance your pipeline's performance?
A
Switch to a larger instance type for your Dataflow workers to provide more CPU and memory resources.
B
Consider creating a temporary buffer table in Bigtable before transferring data to BigQuery, though this may add complexity.
C
Increase the maximum number of workers in your pipeline to distribute the workload more evenly.
D
Relocate your Dataflow pipeline to the us-central1 zone, which might not solve the issue and could increase latency.
E
Opt for creating a temporary buffer table in Cloud Spanner as an intermediate step, acknowledging potential overhead.