Interview Intel · NetApp

NetApp coding interview
questions, leaked.

10 problems reported across recent NetApp interviews. Top patterns: array, string, hash table. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.

Founder's read

NetApp's assessment hits you with 10 problems split 2 easy, 6 medium, 2 hard. Arrays and strings dominate the problem set, each showing up 4 times across the list. You'll see hash tables and linked lists repeatedly. Most candidates freeze on medium difficulty or miss the optimal approach under time pressure. StealthCoder runs invisibly during your assessment and surfaces working code in real time if you blank on a pattern mid-OA. The goal here is knowing what to drill first so you walk in confident.

Tracked problems
10
Easy
2/ 20%
Medium
6/ 60%
Hard
2/ 20%

Top problems at NetApp

leaked_problems.csv10 rows
#ProblemDiffFrequency
01Move ZeroesEASY
100.0
02LRU CacheMEDIUM
100.0
03Find First and Last Position of Element in Sorted ArrayMEDIUM
100.0
04Reverse Linked ListEASY
87.3
05Basic Calculator IIMEDIUM
87.3
06Path Sum IIIMEDIUM
87.3
07Alien DictionaryHARD
87.3
08Reconstruct Original Digits from EnglishMEDIUM
87.3
09Group AnagramsMEDIUM
87.3
10Merge k Sorted ListsHARD
87.3

Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.

The hedge

You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual NetApp OA. The proctor cannot see it. Screen share cannot detect it. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too.

Get StealthCoder
Topic distribution
What this means

Arrays and strings are your bread and butter. Four problems each means you need fluency in two-pointer work, prefix/suffix tricks, and hash-based lookups for anagrams and digit reconstruction. Hash tables and linked lists tie at 3 problems each, with LRU Cache being the classic design trap that mixes both. The hard problems (Alien Dictionary, Merge k Sorted Lists) require graph thinking and heap mechanics. Six out of ten are medium, so the gap between easy and hard is steep. If you haven't practiced LRU Cache or topological sorting, that's where you leak points. StealthCoder is your safety net if you hit a wall on Alien Dictionary or the merge strategy mid-interview.

Companies with similar patterns

If you prepped for NetApp, these companies recycle ~60% of the same topics.

The honest play

You've seen the list. Now make sure you pass NetApp.

Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too. Works on HackerRank, CodeSignal, CoderPad, and Karat.

NetApp interview FAQ

How many array problems should I solve before the NetApp OA?+

Array shows up 4 times in their problem set. Solve at least 8 to 10 different array problems outside this list, focusing on two-pointer and sliding-window patterns. Move Zeroes and Find First and Last Position are your warm-ups. Then practice harder array moves like sorting and partitioning.

Is LRU Cache worth studying specifically for NetApp?+

Yes. It's medium difficulty but combines hash table, linked list, and design all at once. It's the kind of problem that looks easy until you sit down. Study the doubly-linked list approach. It's a gate-keeper problem for many FAANG-style interviews including NetApp.

What topic should I prioritize first?+

Start with arrays and strings. They appear 8 times combined. Hash tables come next at 3 occurrences. String-based problems like Group Anagrams and Reconstruct Original Digits blend both. You'll build momentum fast because most of the list relies on these foundations.

Are the hard problems likely to show up in my OA?+

Hard problems make up 20 percent of NetApp's reported list. Alien Dictionary and Merge k Sorted Lists are both graph-adjacent and heap-heavy. Don't skip them, but don't spend 60 percent of prep time on them either. Two hard problems in a 10-problem set means you might see one, or none.

How much time should I spend on linked-list reversal and recursion?+

Reverse Linked List is easy difficulty and shows up. Practice it until it's muscle memory. Linked lists appear 3 times total, and some are intertwined with hash tables (LRU Cache) or heaps (Merge k Sorted). Learn reversal first, then move to merge and cache problems where lists are part of a bigger pattern.

Problem frequencies sourced from public community-maintained interview-report repos. Problems, ratings, and trademarks are property of LeetCode and NetApp. StealthCoder is not affiliated with NetApp.