Which of the following five kinds of log types can Phil select for storing Databricks Diagnostic logs?
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A. B. C. D. E. F. G.Correct Answers: A, D, F, G and I.
Out of the given options, the appropriate log type for storing Databricks diagnostic logs is "Spark" (option H).
Databricks is a Unified Data Analytics Platform that is built on top of Apache Spark. It allows users to run Apache Spark workloads in a managed environment. The platform provides various features for monitoring and troubleshooting workloads. Diagnostic logs are used to capture information related to the execution of Spark jobs and to help diagnose issues that may occur during execution.
The other options are not related to Databricks diagnostic logs.
A. Secrets: Secrets are used to store sensitive information like passwords and access keys. B. RDP: Remote Desktop Protocol (RDP) is used to access and manage Windows servers remotely. C. Network: Network logs are used to capture information related to network traffic. D. DBFS: Databricks File System (DBFS) is a distributed file system used to store data on Databricks. E. Keys: Keys are used for encryption and decryption purposes. F. SQL permissions: SQL permissions are used to grant or revoke access to SQL databases. G. Accounts: Accounts are used to manage user authentication and access control. I. ssh: SSH (Secure Shell) is a protocol used for secure remote access to servers. J. Ambari: Ambari is a tool used for managing and monitoring Hadoop clusters.