You want to safely run user-submitted Python code that may contain dangerous operations like file access or network calls. Which approach best uses sandboxing to protect your system?

hard📝 Application Q15 of 15

Agentic AI - Agent Safety and Guardrails

ARun the code on your main system but monitor CPU usage

BRun the code directly with <code>exec()</code> and catch exceptions

CRun the code inside a containerized sandbox limiting file and network access

DRun the code after removing all import statements manually

Step-by-Step Solution

Solution:

Step 1: Understand sandboxing for dangerous code
Containerized sandboxing isolates code with strict limits on file and network access.
Step 2: Evaluate other options
Using exec() directly is unsafe; monitoring CPU does not prevent damage; manual import removal is error-prone and incomplete.
Final Answer:
Run the code inside a containerized sandbox limiting file and network access -> Option C
Quick Check:
Container sandbox = safest isolation [OK]

Quick Trick: Use container sandbox to limit risky operations [OK]

Common Mistakes:

Trusting exec() without isolation
Relying on CPU monitoring only
Trying manual code cleaning for safety

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You want to safely run user-submitted Python code that may contain dangerous operations like file access or network calls. Which approach best uses sandboxing to protect your system?

Step 1: Understand sandboxing for dangerous code

Step 2: Evaluate other options

Final Answer:

Quick Check:

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