I Passed Pure Storage HackerRank OA in 2026: Real Questions

I sat the Pure Storage HackerRank assessment in early 2026 for an early-career software engineering role. It was two coding questions on one clock, plus a block of multiple-choice questions. This guide covers the full walkthrough, the proctoring setup, and my seven-day prep.

The switch from Question 1 to Question 2 is where the test got hard. Question 2 was a sort-and-project problem with awkward input parsing under a tight clock. I used AI interview assistant to sanity-check the sort key. It caught the tie-break edge case below.

Before my test, I read every Pure Storage HackerRank post from the past few years on LeetCode Discuss, Taro, and Glassdoor. What I found tracks closely with what I experienced, especially the mistakes that get people flagged or rejected.

Quick Facts

The Real Questions on My Pure Storage HackerRank Test

I sat the Pure Storage HackerRank assessment in early 2026 as an early-career software engineer. It was two coding questions on one clock. Before I started, I closed every non-browser window and laid out a two-question plan.

Question 1: Find Doubles

The problem I got: The first question gave me an array of integers and asked me to return the number of elements x such that 2 * x also appears somewhere in the array. It was a frequency-counting problem wearing a light "pairs" costume — the double relationship was the whole trick.

My approach: I reached for a hash map of value frequencies, then walked the distinct values. For each value v present, if 2 * v was also in the map, every copy of v counted. That is one pass to build the map and one pass over its keys, so the work stays linear.

from collections import Counter

def find_doubles(nums):
    freq = Counter(nums)
    count = 0
    for v in freq:
        if 2 * v in freq:
            count += freq[v]
    return count

Time complexity: O(n) | Space complexity: O(n)

Overall, Question 1 ran clean. The bounds were small enough that a linear scan was the obvious target, and I finished the test cases with time to spare.

Question 2: Racing Results

The problem I got: Question 2 handed me a list of race results — each a runner name and a finish time in seconds — and asked me to return the runners in finishing order, fastest first. It was a stable sort dressed up as a "results table" problem.

My approach: I sorted the pairs by the time field and projected the names back out. The trap was ties: the problem wanted the original input order preserved among equal times, so I kept the sort stable and did not invert anything.

def racing_results(results):
    # results: list of (name, time_seconds)
    return [name for name, _ in sorted(results, key=lambda r: r[1])]

Time complexity: O(n log n) | Space complexity: O(n)

I clicked from Question 1 to Question 2 and the clock got tight. The sort was quick, but the input parsing ate minutes I had not budgeted. The review below covers what I learned.

InterviewFox shows the answer on your phone, not on the shared screen.

Pure Storage's Proctoring Policy for HackerRank

HackerRank Proctor Mode is the monitoring layer over a Pure Storage assessment. The chart below lays out every signal it watches.

The monitored violations include tab switching, face detection, webcam object detection, editor patterns, suspicious gaze, and unauthorized tool use. An unauthorized tool ended a July 2026 attempt, per the failure section below.

Proctor Mode docs describe it as a stand-in . This AI stand-in replaces a live human proctor. It runs at company and test level. Any flag produces a report with session replay and flagged events.

What the platform can see. Proctor Mode simulates live proctoring and records behaviors during the test. But the gap most candidates miss is how many signals feed the same report. In short, read how HackerRank detects cheating before you sit down.

What Pure Storage specifically turns on. Evidence comes from a July 2026 candidate case and the platform docs. Whether it enables webcam, tab-switch, or desktop-process monitoring stays unclear. Pure Storage publishes no proctoring statement of its own, so I will not claim a Pure Storage-written policy.

Why "invisible" is the wrong mental model. The process that ended the July 2026 attempt was an overlay-style copilot. It ran outside the browser at low opacity. Yet that contradicts the common assumption that HackerRank only watches the browser tab. It is the exact setup the unauthorized-tool signal targets.

4 Other Confirmed Pure Storage HackerRank Questions

Beyond my own sitting, candidate accounts and Pure Storage primary-source LeetCode posts confirm a recurring question bank. A 2020 post and a 2022 post list the same problems years apart, and one reply notes "I got the same test." I keep the distinction honest below.

Extract a Field

A documented problem asks you to pull a specific bit field out of a packed record. The 2022 post's replies show the answer as (record[3] >> 3) & 0xF — shift the record right by three bits, then mask the low four. It is a pure bit-manipulation medium.

def extract_field(record, byte_index, shift, width):
    mask = (1 << width) - 1
    return (record[byte_index] >> shift) & mask

Stack Size

Another bank problem simulates a stack and asks for its size after each operation. The 2022 reply notes the stack "has at most 2 elements" across the given operations — a trace, not a trick.

def stack_sizes(ops):
    size = 0
    out = []
    for op in ops:
        if op == "push":
            size += 1
        elif op == "pop" and size > 0:
            size -= 1
        out.append(size)
    return out

Stack Initialization

A sibling problem checks stack indexing. The 2020 reply points out the index counter increments before the first insert, the stack is 1-indexed, and it starts empty — so the initial index value must be zero. It is a careful-reading medium.

Linked List

A linked-list question appears in the same bank, asking which operations depend on list length. The answer is none of them do — pointer hops are O(1) regardless of size. I list it as evidence the bank mixes data-structure reading with coding.

What the Pure Storage HackerRank OA Actually Looks Like

The chart below shows how the question mix and clock shift. Two coding questions is the near-universal constant, while the MCQ count and the time limit are what move.

Two coding questions is the constant. Across every confirmed account the count holds at two. The clock and the MCQ count vary by report.

The MCQ count drifts. One 2017 account cites 10 multiple-choice questions. A 2024 account cites 7. Another 2024 intern cites "around 6." I present the range rather than one average number.

The difficulty reports cluster easy–medium. A 2024 account calls it "not too difficult" with "a little bit of mathematical thinking." LeetCode tags 29 problems to Pure Storage: 8 easy, 18 medium, 3 hard.

What stays unknown. No confirmed invite link-expiry window exists anywhere in the pool. I say so rather than invent a number. This gap is why the prep plan below runs for seven days.

How Pure Storage's HackerRank Scoring Works

Pure Storage runs the HackerRank scoring engine without publishing its own pass bar. The chart below maps each score state to what actually happened to candidates. The mechanism never changes, while the outcomes vary by how completely you finished.

Each challenge carries a 100-point Max Score. HackerRank sets that number per problem. Published success rates on the Pure Storage challenge set sit in the easy–medium band.

Aim for full test cases, not a passing fraction.

A flag is a different failure state than a low score. A proctoring flag skips scoring entirely: no partial credit, nothing submitted, nothing to appeal.

The exact threshold stays unpublished. Pure Storage does not release a minimum score, so I will not invent one or imply it exists.

Pure Storage HackerRank Exam-Day Strategy

Generic time-management advice would not earn this section. Three named, sourced specifics do, and each maps to a real friction report.

Reveal Test Cases First, Then Budget for Input Parsing

A 2024 account notes the HackerRank UI hides test cases behind clicks. The input format for the racing-results problem was awkward. I spend the first minutes on the interface and input format.

A Hard Per-Question Cap Prevents the Q1 Time Sink

The format is two coding questions on one clock. An unattempted Question 2 is a real rejection cause, since partial credit on Q1 alone rarely advances. I cap Q1 and move on with it imperfect.

Clear Every Overlay Tool Before the Q1 to Q2 Switch

A July 2026 candidate report froze the instant they switched problems while a low-opacity desktop copilot was open. Nothing overlay-based or desktop-resident survives a question switch. So I now close every second window before I move on.

Why Candidates Fail the Pure Storage HackerRank Assessment

Two failure modes carry named, dated causes. The first is the strongest available evidence of what an AI tool actually costs you on this test.

An Unapproved Desktop Process Voids the Attempt

At least one candidate relied on a desktop copilot window set to low opacity during a July 2026 assessment, expecting it to stay invisible. During the environment check, the editor froze and a proctoring message named an unapproved desktop process. The page locked immediately, and the candidate was marked ineligible for a retake.

The same navigation layer that logs a tab change caught their problem switch. See how HackerRank sees tab switches for the recording details.

Low opacity did not help.

The window was nearly invisible, and the proctoring layer still named it as an unapproved process. It happened the moment they changed problems.

It was not even in the browser. The tool ran outside the open tab. But that contradicts the widespread assumption that HackerRank proctoring only watches browser activity. Unauthorized tool use counts as an explicitly monitored violation.

Partial Test Cases Produced a Reject

A documented account failed some test cases on one question and ran out of time before the next. The verdict came back REJECTED. This is the clearest public failure with a named cause in the pool.

Environment Friction Burns the Same Clock

A 2024 account lists hidden test cases and awkward input formatting. No one reported it as a rejection. Still, it leads to the same outcome as the Q1 time sink above if you let it.

How to Prepare for the Pure Storage HackerRank in 7 Days

Overall, the plan below binds every stage to a confirmed Pure Storage fact. It skips what the evidence says you will not face. Seven days is a flat window because no confirmed link-expiry exists to subtract a buffer from.

In the days before the OA, I used InterviewFox's Prep Agent over WhatsApp. I sent it the confirmed Pure Storage question patterns and got a personalized drill plan and strategy back. It sat alongside my own LeetCode sets, not in place of them.

Days 1-3: Frequency Counting and Stable Sorting Under 25 Minutes

I spent the first three days on hash-map counting and stable sorting, taken to full test-case coverage. The Q1 pattern is Find Doubles, with count-sort as the practice analogue. A candidate who sat the exam named that pattern directly.

I ran timed sets and pushed every run to full coverage. That meant empty input, a single element, duplicates, and maximum-constraint cases. My success check was a medium frequency problem solved twice in 25 minutes or less.

I skipped system design. Every confirmed Pure Storage OA account is two coding questions inside a single HackerRank session. Not one contains a system-design task, so it belongs to later rounds.

I also skipped deep graph and DP grinding. Every confirmed question clusters on arrays, strings, hash maps, bit manipulation, and stacks. Tree and DP signals appear only in scattered MCQ banks I could not verify.

Days 4-5: Bit Fields, Stacks, and Input Parsing

Days 4 and 5 covered Pure Storage's distinctive surfaces. That means bit-field extraction, stack simulation, and the awkward input parsing the racing-results problem showed.

I implemented one bit-field extractor, one stack-size tracer, and one stable sort with tie handling. My success check required solving the bit-field problem end to end in 30 minutes or less without opening docs.

Days 6-7: One-Window Timed Run With No Overlay Tools

Those final two days made one full timed run in a clean single-window environment. Only one failure mode in the whole pool costs the entire attempt with no score: an overlay tool. Friction that ate a real candidate's budget is the same reason to rehearse the interface.

I ran two questions on one display with no second application open. My success check was attempting both problems with zero non-browser windows open for the whole run.

What Happens After You Submit the OA

In short, a pass and a flag lead to opposite places. The wait between submission and response is wide. Silence at two weeks is inside the normal range.

A pass moves you to a recruiter call, then the technical loop.

From there the process continues into the later rounds, including the values round later on.

A flagged attempt produces no score and no advance.

This closes the loop opened in the proctoring, scoring, and failure sections. A flag voids the attempt entirely.

The range is wide and the silence is normal.

Reported wait times run from days to over two weeks. Treat the timeline as a range, not a promise.

Pure Storage Wraps DSA in Storage-Themed Problems

The recurring twist on this test is that ordinary algorithms arrive wearing Pure Storage's product surface.

The problems are wearing Pure Storage's product.

Bit fields, stacks, and racing results show up across independent LeetCode posts years apart. Those sources are the 2020 and 2022 Pure Storage test threads.

The algorithm is usually familiar, the wrapper is what costs time.

Frequency counting, stable sorting, and bit masking are standard. Parsing the domain framing under a tight cap is the real difficulty. That is why the bit-field and stack practice days exist in the plan.

Difficulty gradient across the themed set.

The LeetCode-tagged Pure Storage problems run 8 easy, 18 medium, 3 hard. Those are LeetCode-wide difficulty tags, not Pure Storage candidate pass rates. I do not present them as a bar you must clear.

FAQ

Is the Pure Storage HackerRank OA proctored?

Yes in capability. HackerRank Proctor Mode monitors unauthorized tools, tab switching, and webcam signals. The July 2026 case shows a Pure Storage attempt that got flagged and ended. Pure Storage itself does not publish its per-invite configuration.

Can I use an AI tool or invisible app during the Pure Storage HackerRank OA?

Desktop overlay tools put the AI's answer on your computer screen, rendered as a hidden layer above the browser. The hiding is basic, and proctoring software keeps adding detection capabilities as AI tools become more common. So the risk exposure never stays fixed.

InterviewFox pushes the answer to your phone, a physically separate device. No screenshot, screen recording, or session monitoring can reach it by design. The laptop screen stays on the exam editor, unchanged. If you use AI during the OA, the answer leaves your screen entirely.

How long is the Pure Storage HackerRank OA?

Two coding questions plus 6 to 10 multiple-choice questions, on one HackerRank clock. The exact time limit is not published, but candidate reports describe an easy–medium pace.

How many coding questions are on the Pure Storage OA?

Two coding questions in every confirmed account. The multiple-choice count drifts between 6 and 10 depending on the year and role.

What happens if a proctoring flag fires mid-test?

The attempt can end before submission, with no score issued at all. That is a different and worse outcome than a low score, and it comes from the July 2026 case.

Does passing the OA lead straight to an interview?

It leads to a recruiter call and then the technical loop, with the values round later in the process. The full loop is beyond the scope of this guide.