Find the Shortest Click Path with a Fallible Link API

Question

You are asked to find the shortest path through a series of clickable links, considering that some links may fail to respond. Your task is to design an algorithm that efficiently navigates this scenario.

Codemia · Accepted Answer

To solve the problem, we need to determine the shortest path from a starting link to a target link, while accounting for the possibility that some links may fail. This means we will treat the links as nodes in a graph, where edges represent the ability to click from one link to another.

We will use a breadth-first search (BFS) approach to explore the graph. BFS is suitable here because it finds the shortest path in an unweighted graph. We will maintain a queue to track the current paths and a set to keep track of visited links to avoid cycles.

1. Initialize a queue with the starting link and a distance of 0.
2. While the queue is not empty:
   - Dequeue the front element.
   - If it is the target link, return the distance.
   - For each adjacent link, check if it is reachable (not fallible).
   - If reachable and not visited, enqueue it with an incremented distance and mark it as visited.

Using BFS ensures we find the shortest path efficiently. However, if the graph is large, memory usage can be a concern due to the queue and visited set. To scale, we might consider implementing a more sophisticated error-handling mechanism, such as retrying failed links a limited number of times before marking them as fallible.

Here is a simple implementation of the algorithm in Python:

```python
from collections import deque

def shortest_click_path(start, target, links):
    queue = deque([(start, 0)])  # (current_link, distance)
    visited = set()
    visited.add(start)

while queue:
        current_link, distance = queue.popleft()
        if current_link == target:
            return distance
        for neighbor in get_neighbors(current_link):  # Assume this function returns reachable links
            if neighbor not in visited and is_reachable(neighbor):  # Check if link is not fallible
                visited.add(neighbor)
                queue.append((neighbor, distance + 1))
    return -1  # Target not reachable
```
This code uses a breadth-first search to find the shortest path while checking for fallible links.

Find the Shortest Click Path with a Fallible Link API

Snowflake

What the Interviewer Expects

Key Topics to Cover

How to Approach This

Possible Follow-up Questions

Sharpen Your Skills on Codemia

Sample Answer

Requirements

High-Level Design

Submit Your Answer

Snowflake Software Engineer Interview Guide

Related Questions

Design a scalable Search System

Design a Video Streaming for Rippling

Design a Load Balancing Service

Design a Image Processing Service

Build a high-throughput Image Processing Pipeline