Collecting and Storing Connection Properties in Environment Variables
Question
Chuck is a Data engineer working on Azure Databricks development and configuring the connection properties.
Which of the following five connection properties does he need to collect and store in environment variables for development in IDE?
Answers
Explanations
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A. B. C. D. E. F. G.Correct Answers: B, D, E, G and H.
Sure, I'd be happy to help explain which connection properties a data engineer working on Azure Databricks development needs to collect and store in environment variables for development in IDE.
DATABRICKS_ADDRESS: This connection property refers to the URL of the Azure Databricks workspace. It is required for connecting to the workspace from any IDE or other tools that require a connection.
DATABRICKS_API_TOKEN: This connection property is an authentication token that allows the IDE or other tools to connect to the Azure Databricks workspace securely. It is required for accessing resources in the workspace.
DATABRICKS_CLUSTER_ID: This connection property is the unique identifier of the Azure Databricks cluster. It is required for connecting to the cluster and accessing resources on it.
DATABRICKS_SECRET: This connection property is a shared secret that is used to encrypt and decrypt data between the Azure Databricks workspace and the IDE or other tools. It is required for secure communication between the workspace and the IDE.
DATABRICKS_NOTEBOOK_ID: This connection property is the unique identifier of a specific notebook in the Azure Databricks workspace. It is required for connecting to the notebook and accessing its contents.
Therefore, Chuck should collect and store the above 5 connection properties in environment variables for development in IDE. The remaining options are not required for this purpose.
