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How can you ensure your Azure Databricks clusters are prepared for an expected increase in load before a major launch?
A
Conducting a small-scale load test and predicting full load performance based on those results
B
Estimating cluster capacity from current workloads and manually adjusting resources
C
Utilizing Azure Databricks' autoscaling feature with synthetic data that simulates expected loads during the test
D
Monitoring and adjusting cluster size in real-time during the actual launch