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Databricks·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

Databricks coding interview centered on a single IP filtering problem using CIDR notation. The interviewer walked through the concept before diving in, which was a nice touch, but the resolution policy discussion is where things got interesting.

Questions Asked (1)

Q1

Given a list of CIDR rules each labeled as approve or reject, and a query IP address, determine whether the IP is approved or rejected.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

The parsing part was fine, converting each CIDR block to a network and prefix length or a start/end interval isn't that bad.

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AI HintsAI Generated

Suggested Approach

Clarify the problem constraints (e.g., number of rules, whether rules are ordered, and if overlapping rules are possible) before designing a solution. Then propose an efficient algorithm, such as converting CIDR blocks to integer ranges and using interval trees or sorting for lookup, and discuss trade-offs between preprocessing time and query time.

Pro tip: Mention that CIDR rules can be converted to integer ranges and that the longest prefix match (most specific rule) should take precedence, which is common in networking. Also, discuss how to handle overlapping rules and the importance of clarifying the expected behavior with the interviewer.

1. Clarify Requirements

Ask about the number of rules, query frequency, whether rules are ordered, and how to handle overlapping rules (e.g., longest prefix match or first match).

2. Choose Data Structures

Consider converting CIDR blocks to integer ranges and using interval trees, sorted arrays with binary search, or a trie for efficient lookup.

3. Design Algorithm

Outline steps: parse CIDR to range, build data structure, and for a query IP, find matching rules and apply precedence to decide approve/reject.

4. Analyze Complexity

Discuss time and space complexity for preprocessing and querying, and compare trade-offs between different approaches.

5. Handle Edge Cases

Address edge cases like no matching rule (default action?), invalid IPs, and overlapping rules with different labels.

Key Points to Mention

  • CIDR to integer range conversion
  • Longest prefix match (most specific rule) precedence
  • Interval tree or trie for efficient lookup
  • Time and space complexity trade-offs
  • Handling overlapping rules and default behavior
  • Scalability for large rule sets and high query throughput

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.