Why does a data analysis agent pipeline overwrite steps with duplicate names instead of running both?

hard📝 Conceptual Q10 of 15

Agentic AI - Real-World Agent Applications

ABecause the pipeline runs steps in parallel and merges results

BBecause step names act as unique keys in the pipeline's internal dictionary

CBecause duplicate names cause the pipeline to crash

DBecause the pipeline ignores all but the first step added

Step-by-Step Solution

Solution:

Step 1: Understand internal data structure
Steps are stored in a dictionary where keys are step names, which must be unique.
Step 2: Explain overwrite behavior
Adding a step with an existing name replaces the previous entry in the dictionary.
Final Answer:
Because step names act as unique keys in the pipeline's internal dictionary -> Option B
Quick Check:
Step names = unique dictionary keys [OK]

Quick Trick: Step names are dictionary keys, so duplicates overwrite [OK]

Common Mistakes:

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