Katkat

Company

Apple interview questions

177 practice questions in the style of Apple's interviews, covering Software Engineering Fundamentals, Machine Learning, Behavioral & Leadership, Coding & Algorithms, ML System Design, Analytics & Experimentation, System Design, Statistics & Math, Data Manipulation (SQL/Python).

Questions177

12 easy136 medium29 hard

Your progress0/177

Apple interview questions by the numbers

Last updated

Katkat has 177 Apple interview questions. The largest topics are Coding & Algorithms (36%), Software Engineering Fundamentals (23%) and System Design (12%). By difficulty: 7% easy, 77% medium and 16% hard. The most common round is Technical Screen (62%). Frequent concepts include System Design, Algorithms, Distributed Systems and Concurrency.

Difficulty

  • Easy7% · 12
  • Medium77% · 136
  • Hard16% · 29

Interview rounds

  • Technical Screen62% · 109
  • Onsite37% · 66
  • HR Screen1% · 1
  • Online Assessment1% · 1

Roles

  • Software Engineer66% · 116
  • Machine Learning Engineer16% · 28
  • Data Scientist13% · 23
  • Data Engineer2% · 4
  • Frontend Engineer2% · 3

Frequent concepts

  • System Design6% · 10
  • Algorithms3% · 6
  • Distributed Systems3% · 6
  • Concurrency3% · 5
  • Data Structures3% · 5
  • Arrays2% · 4

Showing 91–120 of 177 results

  • This problem tests your ability to use binary search on a search space to find an optimal minimum processing rate that satisfies a global deadline constraint.

    AppleMachine Learning EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates a candidate's skill in array algorithms and in-place algorithm design, emphasizing understanding of time and space complexity and handling edge cases when identifying the smallest missing positive integer.

    AppleData ScientistCoding & AlgorithmsOnsite
  • This problem tests your ability to efficiently find the k-smallest pair sums from two sorted arrays using a heap-based approach to avoid exhaustive search.

    AppleSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Implement an algorithm to find the k pairs of elements with the smallest absolute difference in a strictly increasing sorted array.

    AppleSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates algorithmic and data-structure skills, focusing on frequency counting, heap-based selection, streaming updates, and time/space complexity analysis within the Coding & Algorithms domain.

    AppleSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates understanding of recursion, algorithmic problem decomposition, and analysis of time complexity when generating constrained move sequences.

    AppleSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Decide how a Kubernetes pod should obtain a token for calling an external service. Tests knowledge of Secrets delivered as volumes or environment variables, RBAC and encryption at rest, external secret managers, workload identity with projected service account tokens, and rotating the token without downtime.

    AppleSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This question assesses the candidate's ability to articulate a clear, personal, and well-researched motivation for joining a specific engineering team, moving beyond generic company enthusiasm.

    AppleSoftware EngineerBehavioral & LeadershipOnsite
  • This English summary evaluates conflict resolution, stakeholder management, technical judgment in model selection, risk assessment, escalation, and documentation skills within a Data Scientist role, testing Behavioral & Leadership competencies in a cross-functional, client-facing context.

    AppleData ScientistBehavioral & LeadershipOnsite
  • This question evaluates communication, cross-functional collaboration, stakeholder management, project scoping under ambiguity, product-technical integration, and domain-specific experience with AI-agent-based systems and designer collaboration.

    AppleMachine Learning EngineerBehavioral & LeadershipTechnical Screen
  • This question evaluates prioritization, stakeholder influence, resource negotiation, cross-functional collaboration, product judgment, and execution under constraints for an AI/ML engineering role.

    AppleMachine Learning EngineerBehavioral & LeadershipOnsite
  • This question evaluates debugging skills and understanding of loop termination and control-flow correctness in Python, emphasizing practical familiarity with debugging tools and techniques for isolating faulty loop conditions.

    AppleSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This question evaluates troubleshooting and diagnostic skills for embedded wireless systems, focusing on firmware behavior, testbed instrumentation, and measurement analysis.

    AppleSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • An Apple Data Scientist technical-screen statistics question that asks you to critique another analyst's linear-regression workflow for modeling website dwell time. It tests OLS assumptions (and why marginal normality of Y is not one of them), model-selection and overfitting bias from exhaustive interaction search, diagnostics and validation, and the distinction between prediction, inference, and causal goals on skewed outcome data.

    AppleData ScientistStatistics & MathTechnical Screen
  • This question evaluates interpersonal leadership and project-management competencies—including communication, accountability, escalation judgment, stakeholder risk communication, and empathy—in a software engineering, behavioral and leadership context.

    AppleSoftware EngineerBehavioral & LeadershipTechnical Screen
  • This question evaluates proficiency with data structures and algorithms for service inventory operations, including deterministic filtering, attribute matching, graph traversal for transitive dependency resolution, and status propagation across service graphs.

    AppleMachine Learning EngineerCoding & AlgorithmsOnsite
  • This question tests the ability to implement the core mechanics of a Transformer's multi-head attention mechanism, specifically focusing on linear projections, attention weight scaling, and causal masking.

    AppleMachine Learning EngineerMachine LearningTechnical Screen
  • This question evaluates understanding of information retrieval and text representation concepts—specifically TF–IDF weighting, tokenization, term frequency and document frequency—and measures competency in implementing an efficient scoring and ranking algorithm.

    AppleMachine Learning EngineerCoding & AlgorithmsTechnical Screen
  • Implement a consistent hashing ring that maps string keys to server nodes with add, remove and lookup operations. Tests sorted-position lookup with wrap-around, deterministic hashing across processes, virtual nodes for load balance, operation complexity and how few keys move when membership changes.

    AppleSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This problem tests the ability to adapt data structure behaviors by implementing a First-In-First-Out (FIFO) queue using only Last-In-First-Out (LIFO) stacks.

    AppleSoftware EngineerCoding & AlgorithmsOnsite
  • This problem tests your ability to design a high-throughput, time-series data structure that balances memory usage with query performance.

    AppleSoftware EngineerSoftware Engineering FundamentalsOnsite
  • Implement a mutual-exclusion lock without any built-in lock, mutex or semaphore, relying only on atomic operations. Tests atomic read-modify-write, memory ordering, spinning versus sleeping waiters, fairness, reentrancy, and software-only mutual exclusion when atomic instructions are unavailable.

    AppleSoftware EngineerSoftware Engineering FundamentalsOnsite
  • Implement a reusable cyclic barrier from a mutex and condition variables, where a fixed number of threads block until all have arrived and are then released together. Tests round tracking for safe reuse, spurious wakeups, timeout and broken-barrier semantics, an atomics-only variant and concurrency testing.

    AppleSoftware EngineerSoftware Engineering FundamentalsOnsite
  • Implement a thread-safe bounded blocking queue shared by multiple producer and consumer threads, built from a mutex and condition variables instead of a library concurrent queue. Tests wait and wakeup logic, spurious wakeups, FIFO ordering, shutdown handling and the OS mechanisms beneath blocking synchronization.

    AppleSoftware EngineerSoftware Engineering FundamentalsOnsite
  • Implement a thread-safe in-memory event tracker that records events and reports the events and their count within a sliding time window. Tests time-ordered storage with amortized eviction, window boundary semantics, lock scope and clock choice, out-of-order events, and memory under high event rates.

    AppleSoftware EngineerSoftware Engineering FundamentalsOnsite
  • This problem tests your understanding of JavaScript closures, asynchronous timers, and the ability to maintain internal state across multiple function invocations.

    AppleSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests your ability to implement a binary tree iterator that performs inorder traversal using O(h) extra space, where h is the height of the tree, while maintaining an amortized time complexity of O(1) per call.

    AppleSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Implement a robust REST API method evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    AppleSoftware EngineerSystem DesignTechnical Screen
  • This question evaluates understanding of socket programming, stream message framing, internal buffer management, EOF and error handling, input size limits, unit testing, and time/space complexity analysis.

    AppleSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates knowledge and implementation skills in text processing, vector-space models, and information retrieval, covering tokenization, term-frequency and TF–IDF weighting, cosine similarity, and ranking for similarity search within the Coding & Algorithms domain.

    AppleMachine Learning EngineerCoding & AlgorithmsTechnical Screen

Apple interview experiences

All 39 →
  • Java-Only CoderPad Screen With a Progressive Store-Hours ProblemApple · Software Engineer · Technical Screen · Oct 2026

    I'm definitely done for after today's interview, no need to even think about it. I'm sharing my experience, and I'd also like everyone to help me critique it. The interviewer didn't introduce himself and there was no BQ. He just told me to open CoderPad and start writing a problem. The problem was progressive, and I could only use Java. It wasn't hard at all. There's a store, you're given an open…

  • Exploring Employee and Audit Tables with the Hiring ManagerApple · Data Scientist · Technical Screen · Sep 2026
    Rejected

    It was a team focused more on internal work. The first round was a technical interview with the hiring manager, and we started solving problems with almost no self-introduction. I have to say Apple's questions were very detailed. It really felt like they were testing technical ability through the work you normally do. I needed to think aloud; they cared a lot about how I understood the data and e…

  • Great Feedback Despite Fumbling C++ TriviaApple · Software Engineer · Intern · Technical Screen · Sep 2026

    I mass-applied online, and 3 days later a recruiter picked me up; the team I was interviewing with was a pretty good match. The first round went straight into a tech interview. I started with a self-introduction and a brief chat about my resume, no very technical questions there. Then it moved into coding. No algorithms - they used their own custom question, and I was allowed to use AI. Basically…

  • One Hiring Manager Round on Terraform Provisioning, Then a RejectionApple · Software Engineer · Technical Screen · Sep 2026
    Rejected

    The first round was a 55-minute interview. From my own digging before the interview, I figured out that the person interviewing me was the Hiring Manager. The first half was just chatting with them. Every Apple interview I've done so far has been like this. The last 20-some minutes were some high-level design questions. This team does management and maintenance of infra, and the question was very…

  • Phone Screen Rejection After a Bug-Free LRUApple · Software Engineer · Technical Screen · Sep 2026
    Rejected

    AES team. The role was posted by someone on the forum (I don't know whether they were the hiring manager), but I applied on my own, and the recruiter reached out very quickly. The phone screen was with one interviewer. For the first thirty minutes it was behavioral questions plus a project deep dive, and I got affirmed on all sorts of things. After that came LRU, bug free, and it ran with the rig…

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