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Agentic AIml~10 mins

Enterprise agent deployment considerations in Agentic AI - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to initialize the enterprise agent with the correct environment setting.

Agentic AI
agent = EnterpriseAgent(environment=[1])
Drag options to blanks, or click blank then click option'
A'development'
B'test'
C'production'
D'staging'
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'test' or 'development' instead of 'production' for deployment.
2fill in blank
medium

Complete the code to set the agent's logging level to capture detailed information.

Agentic AI
agent.set_logging_level('[1]')
Drag options to blanks, or click blank then click option'
AERROR
BDEBUG
CWARNING
DINFO
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing ERROR or WARNING which provide less detail.
3fill in blank
hard

Fix the error in the code to correctly configure the agent's retry policy for failed tasks.

Agentic AI
agent.configure_retry_policy(max_retries=[1])
Drag options to blanks, or click blank then click option'
A3
B'3'
CTrue
DNone
Attempts:
3 left
💡 Hint
Common Mistakes
Passing '3' as a string instead of integer 3.
4fill in blank
hard

Fill both blanks to create a secure connection and enable encryption for the agent.

Agentic AI
agent.connect(protocol=[1], encryption=[2])
Drag options to blanks, or click blank then click option'
A'https'
BTrue
CFalse
D'http'
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'http' or setting encryption to False.
5fill in blank
hard

Fill all three blanks to configure the agent's resource limits for CPU, memory, and timeout.

Agentic AI
agent.set_resource_limits(cpu=[1], memory=[2], timeout=[3])
Drag options to blanks, or click blank then click option'
A2
B4096
C300
D1024
Attempts:
3 left
💡 Hint
Common Mistakes
Confusing memory values or using too high CPU count.