**BFS/DFS:** Remove min parentheses to make valid. BFS: try removing 1,2,... until valid. DFS with count: track balance, prune invalid. Return all valid results (BFS finds min removal). **Two-pass:** Count extra ( and ); remove in second pass....
This easy-level Python/Coding question appears frequently in data engineering interviews at companies like Disney+ Hotstar. While less common, it tests deeper understanding that distinguishes strong candidates.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
BFS/DFS: Remove min parentheses to make valid. BFS: try removing 1,2,... until valid. DFS with count: track balance, prune invalid. Return all valid results (BFS finds min removal).
Two-pass: Count extra ( and ); remove in second pass. BFS guarantees minimum.
def remove_invalid(s):
def valid(s): balance=0; [balance:=balance+1 if c=='(' else (balance-1 if c==')' else balance) for c in s]; return balance==0
level = {s}
while level:
valid_set = [x for x in level if valid(x)]
if valid_set: return valid_set
level = {s[:i]+s[i+1:] for s in level for i in range(len(s)) if s[i] in '()'}
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Analyze My Answer β FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Python/Coding interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.