Complete the code to initialize the enterprise agent with the correct environment setting.
agent = EnterpriseAgent(environment=[1])The production environment is used for deploying enterprise agents to real users.
Complete the code to set the agent's logging level to capture detailed information.
agent.set_logging_level('[1]')
DEBUG level captures detailed logs useful for troubleshooting during deployment.
Fix the error in the code to correctly configure the agent's retry policy for failed tasks.
agent.configure_retry_policy(max_retries=[1])The max_retries parameter expects an integer, not a string or boolean.
Fill both blanks to create a secure connection and enable encryption for the agent.
agent.connect(protocol=[1], encryption=[2])
Using 'https' ensures secure protocol and setting encryption to True enables data encryption.
Fill all three blanks to configure the agent's resource limits for CPU, memory, and timeout.
agent.set_resource_limits(cpu=[1], memory=[2], timeout=[3])
CPU is set to 2 cores, memory to 1024 MB, and timeout to 300 seconds for balanced resource use.
