← Databricks Interview Insights

Databricks·Software Engineer·Technical Phone Screen·Senior

SeniorPrefer not to say
Jun 2026Remote

Summary

Databricks SWE interview that went deep on networking fundamentals pretty fast. The core problem was ACL rule matching and it escalated into range intersection territory which I was not fully ready for.

Questions Asked (2)

Q1

Given a list of ACL rules where each rule is a CIDR block and an action (ALLOW or DENY), implement a function that takes an IP address and returns the matching action based on rule order.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

The CIDR bitmask part I actually got through okay.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the requirements: rule order matters, so the first matching rule determines the action. Then outline an approach that parses CIDR blocks into integer ranges, checks the IP against each rule in order, and returns the action of the first match, with a default action if no rule matches.

Pro tip: Mention that you would preprocess the rules into a data structure (e.g., sorted intervals or a trie) for efficiency if the function is called repeatedly, but keep the initial implementation simple and correct. This shows awareness of trade-offs between simplicity and performance.

1. Clarify requirements and edge cases

Ask about default action when no rule matches, whether rules are guaranteed to be valid CIDR blocks, and if IPv4 or IPv6 support is needed. Confirm that rule order is significant and the first match wins.

2. Design the matching algorithm

Explain that you will convert each CIDR block into a range of IP addresses (start and end integers) and check if the given IP falls within that range. Iterate through rules in order and return the action of the first matching rule.

3. Handle IP and CIDR parsing

Describe how to parse an IP address into a 32-bit integer (for IPv4) and how to compute the network range from a CIDR block using bitwise operations (mask and prefix length).

4. Implement the function

Write pseudocode or actual code: for each rule, compute the network range, check if the IP is within that range, and if so return the rule's action. If no rule matches, return the default action.

5. Discuss optimization and trade-offs

Mention that the simple O(n) per query approach is fine for small rule sets, but for large or frequently queried sets, you could preprocess rules into a trie or sorted intervals for faster lookup, at the cost of increased complexity.

Key Points to Mention

  • Rule order matters: first matching rule determines the action.
  • CIDR to IP range conversion using bitwise operations (mask and prefix).
  • Default action when no rule matches (e.g., DENY or ALLOW).
  • Time complexity: O(n) per query for simple approach, and potential optimizations like trie or interval trees.
  • Handling of edge cases: invalid IP, invalid CIDR, IPv4 vs IPv6.
  • Preprocessing rules for repeated queries (trade-off between simplicity and performance).

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

Q2

Follow-up: instead of a single IP, the input is a CIDR block representing a range of IPs. Return ALLOW only if every IP in that range is allowed by the ACL. How do you approach this efficiently?

Algorithms & Data StructuresTechnical Trade-offsSystem Design
Author's notes

This is where things got uncomfortable.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Model the ACL as a set of allowed IP ranges (or a binary trie/interval tree) and check whether the query CIDR is fully contained in the union of allowed ranges. Efficiently, convert the CIDR to an integer interval and verify that every sub-interval is covered by allowed ranges, handling overlaps and merging adjacent ranges.

Pro tip: Mention that you can preprocess the ACL into a sorted list of merged intervals or a binary trie for O(log n) queries, and that you must consider edge cases like overlapping rules, default deny, and IPv4 vs IPv6.

1. Clarify ACL semantics and input format

Confirm whether the ACL is a list of allow/deny rules with priorities, and whether the query CIDR is IPv4 or IPv6. Establish that 'every IP allowed' means the CIDR must be a subset of the union of allowed ranges.

2. Represent IPs and CIDRs as integer intervals

Convert each IP to a 32-bit (or 128-bit) integer, and each CIDR to a contiguous interval [start, end]. This reduces the problem to interval containment.

3. Preprocess the ACL into a merged interval set

Sort allowed intervals by start, merge overlapping or adjacent intervals, and optionally build a balanced interval tree or binary trie for fast queries. This handles rule overlaps and simplifies containment checks.

4. Check containment of the query CIDR

For the query interval [q_start, q_end], find the allowed interval that contains q_start (via binary search or tree lookup) and verify that its end >= q_end. If not, return DENY.

5. Analyze complexity and trade-offs

Discuss time/space trade-offs: preprocessing O(n log n) and query O(log n) with merged intervals, or O(32) with a binary trie. Mention memory vs speed and handling of dynamic ACL updates.

Key Points to Mention

  • Converting CIDR to integer interval and using interval containment logic
  • Preprocessing ACL with sorting and merging overlapping ranges
  • Using binary search or interval tree for O(log n) queries
  • Binary trie (radix tree) as an alternative for prefix-based matching
  • Handling edge cases: overlapping rules, default deny, IPv4 vs IPv6
  • Complexity analysis and trade-offs between preprocessing time and query speed

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