What is the reason for the failure of starting the AWS Databricks cluster?

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There could be many reasons why an AWS Databricks cluster fails to start, including:

1. Insufficient resources: If the cluster doesn't have enough resources, it may fail to start.

2. Incorrect configuration: If the cluster configuration is incorrect, it may fail to start.

3. Network issues: If there are issues with the network connectivity between the cluster nodes, it may fail to start.

4. Security group issues: If the security groups for the cluster are misconfigured, it may fail to start.

5. Incompatible software: If some of the software components required for the cluster are not compatible, it may fail to start.

6. Invalid parameters: If some of the parameters used to start the cluster are invalid, it may fail to start.

7. API limits: If the API limits for the AWS account have been reached, it may fail to start.