This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Find LCA in organization tree states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
##### Question
Given an organizational hierarchy tree, return the lowest common organization (parent node) for two or more employees (≥
2). Provide unit tests, detail your tree representation, and discuss how to support dynamic additions and deletions of users/groups with thread-safety considerations.
Overview: This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Find LCA in organization tree states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Community answers
Answer by akashchand3071
.
Answer by mdshabaz25a
import java.util.*;
public class Solution {
// Helper class to wrap the result during tree traversal
private static class Result {
int matchCount;
Integer ancestor;
Result(int matchCount, Integer ancestor) {
this.matchCount = matchCount;
this.ancestor = ancestor;
}
}
public static int findNearestCommonManager(List edges, int root, List queries) {
// Step 1: Map the target queries to a Set for O(1) lookups
Set targets = new HashSet<>(queries);
// Step 2: Construct the adjacency tree structure (Manager -> List of Direct Reports)
Map> tree = new HashMap<>();
for (int[] edge : edges) {
int employee = edge[0];
int manager = edge[1];
tree.computeIfAbsent(manager, k -> new ArrayList<>()).add(employee);
}
// Step 3: Run the post-order recursive search from the CEO node
Result finalResult = lcaHelper(root, tree, targets);
return finalResult.ancestor != null ? finalResult.ancestor : root;
}
private static Result lcaHelper(int currentNode, Map> tree, Set targets) {
int totalMatchesFound = 0;
// Check if the current node itself is one of the targeted employees
if (targets.contains(currentNode)) {
totalMatchesFound++;
}
// Recurse through all direct reports (children)
List directReports = tree.getOrDefault(currentNode, Collections.emptyList());
for (int report : directReports) {
Result childResult = lcaHelper(report, tree, targets);
// If an ancestor was already pinpointed down the line, short-circuit and bubble it up
if (childResult.ancestor != null) {
return childResult;
}
totalMatchesF
Given an organizational hierarchy tree, return the lowest common organization (parent node) for two or more employees (≥
2). Provide unit tests, detail your tree representation, and discuss how to support dynamic additions and deletions of users/groups with thread-safety considerations.
Clarifying Questions to Ask Guidance
Clarify input sizes, value ranges, mutability, return format, and tie-breaking.
State the target time and space complexity before coding.
Call out edge cases such as empty inputs, duplicates, invalid values, overflow, and boundary sizes.
What a Strong Answer Covers Guidance
A clear algorithm with the right data structures and enough pseudocode or code-level detail to implement it.
A correctness argument that explains why the algorithm covers all required cases.
Time and space complexity, plus at least one alternative approach when relevant.
Focused tests for normal cases, edge cases, and failure modes.
Follow-up Questions Guidance
How would the approach change if the input were streaming or too large for memory?
What invariants would you assert in production code?
Which tests would catch off-by-one, duplicate, or tie-breaking bugs?