Meta interview questions

Showing 391–420 of 666 results

• Find a String Containing AnotherMedium

  This question evaluates proficiency in string algorithms, substring search techniques, and algorithmic complexity analysis within the Coding & Algorithms domain.

  MetaMachine Learning EngineerCoding & AlgorithmsTechnical Screen
• Find balanced subarray and increasing tree pathMedium

  This question evaluates array and tree algorithm skills, testing competency in identifying longest balanced subarrays in binary sequences and locating maximal strictly increasing downward paths in binary trees.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find integer in most intervalsMedium

  This question evaluates a candidate's ability to reason about interval overlap counting, manage range endpoints efficiently, and balance time-space trade-offs when identifying points that maximize coverage.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Find k most frequent elements, discuss O(n)Medium

  Find k most frequent elements, discuss O(n) evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find kth largest element in arrayMedium

  A classic Meta software engineer onsite coding question: return the k-th largest element from an unsorted integer array, handling duplicates correctly. It tests order statistics and selection algorithms — sort, size-k min-heap (O(n log k)), and quickselect (O(n) average) — and the candidate's ability to beat a full sort.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Find kth smallest in sorted matrixMedium

  This question evaluates algorithmic problem-solving and data-structure knowledge, focusing on selection in a row-and-column-sorted matrix and the comparative use of min-heaps versus value-space binary search along with time/space complexity and edge-case analysis.

  MetaMachine Learning EngineerCoding & AlgorithmsOnsite
• Find least active countriesMedium

  This question tests the ability to perform multi-step data aggregation using SQL, specifically focusing on joining, filtering by date ranges, calculating distinct counts, and identifying bottom-tier performers across different time periods.

  MetaData ScientistData Manipulation (SQL/Python)Onsite
• Find longest palindromic substringMedium

  This problem tests your ability to optimize string processing algorithms, specifically moving from a brute-force approach to an efficient expansion-based technique for identifying palindromic patterns.

  MetaMachine Learning EngineerCoding & AlgorithmsOnsite
• Find minimum and most frequent number efficientlyMedium

  Find minimum and most frequent number efficiently evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find missing ranges in intervalMedium

  This question evaluates a candidate's proficiency in array traversal, interval reasoning, handling edge cases including empty inputs and 32-bit integer boundary conditions, and enforcing time and space complexity constraints.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Find mode or minimum with time-space tradeoffsMedium

  This question evaluates algorithm design and analysis skills—particularly time–space tradeoffs, frequency counting techniques (sorting, hashing, and counting arrays), and handling streaming or memory-constrained inputs in the Coding & Algorithms domain.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find power-of-two subarrays within sum rangeMedium

  This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Find power-of-two subarrays within sum range states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find shortest subarray with range ≥ kMedium

  This question evaluates proficiency with array algorithms and range-query reasoning, testing understanding of max/min behavior over contiguous subarrays and use of appropriate data-structure techniques; it belongs to the Coding & Algorithms domain.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Find shortest substring with N unique charactersMedium

  This question evaluates proficiency in string processing, handling character-uniqueness constraints, and algorithmic thinking about time and space efficiency.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Find target using robot movement APIMedium

  This question evaluates a candidate's ability to design exploration and state-space search strategies for a robot operating in an unknown, partially blocked 2D grid using a constrained movement and sensing API, testing competency in traversal algorithms, state management, and handling limited observability.

  MetaMachine Learning EngineerCoding & AlgorithmsOnsite
• Find the Unique Pair of Array Indices Whose Values Sum to a TargetMedium

  Given an integer array and a target, return the indices of the only pair of different elements whose values add up to the target, smaller index first. Arrays hold up to 10,000 values of up to one billion in magnitude, and the task is a common warm-up that tests clean, efficient array reasoning.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Find the kth largest elementMedium

  This question evaluates a candidate's mastery of finding the k-th largest element using selection algorithms and heap data structures, along with algorithmic time and space complexity analysis and techniques for adapting solutions to streaming inputs.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Find the most-used appMedium

  This question evaluates data manipulation and metrics-definition skills, emphasizing SQL and Python proficiency for aggregating user activity and joining app metadata within analytics workflows.

  MetaData ScientistData Manipulation (SQL/Python)Onsite
• Find top-K frequent elements in a streamMedium

  This question evaluates understanding of streaming algorithms, frequency estimation, and data-structure-based top-K selection, emphasizing space/time and accuracy trade-offs when processing large or unbounded data.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Generate unique permutations with duplicatesMedium

  This question evaluates a candidate's understanding of permutation generation and duplicate handling within algorithm design, testing combinatorial reasoning, correctness proofs, and time/space complexity analysis.

  MetaMachine Learning EngineerCoding & AlgorithmsOnsite
• Goals, North-Star Metric and Guardrails for Scam Protection Across Meta's AppsMedium

  A metrics question asking a product manager to set goals and success metrics for a scam-prevention product across Meta's apps. It tests goal prioritization, the choice and measurement of a north-star metric, leading indicators by scam type and surface, guardrails against over-enforcement, and measurement under adversarial behavior.

  MetaProduct ManagerAnalytics & ExperimentationOther
• Google–Roomba Acquisition StrategyHard

  Practice a Google and Roomba acquisition strategy case with smart-home fit, user value, privacy governance, competitive landscape, financial modeling, regulatory risk, integration planning, alternatives, and a clear go or no-go recommendation.

  MetaProduct ManagerProduct / Decision MakingOnsite
• Group Binary Tree Nodes by Vertical Column, Top to Bottom and Left to RightMedium

  Return a binary tree's node values grouped by vertical column from left to right, ordering each column top to bottom and breaking ties within a row by left-to-right position. The tree arrives as a level-order list, and the task tests coordinate tracking during traversal and precise tie handling.

  MetaSoftware EngineerCoding & AlgorithmsOnsite
• Group a tree by vertical columnsMedium

  This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Group a tree by vertical columns states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Guide a mouse to find cheese with APIsHard

  This problem tests your ability to navigate an unknown environment by maintaining internal state and implementing an efficient search algorithm to reach a target.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen
• Handle conflict and missed delivery deadlinesMedium

  This question evaluates interpersonal competencies such as conflict resolution, relationship management, communication, ownership, and accountability in scenarios involving missed delivery deadlines and team dynamics.

  MetaSoftware EngineerBehavioral & LeadershipOnsite
• Handle diverse styles and give constructive feedbackEasy

  This question evaluates an Analytics Engineer's competencies in collaboration, inclusive communication, conflict resolution, constructive feedback delivery, and documentation practices within the Behavioral & Leadership domain.

  MetaAnalytics EngineerBehavioral & LeadershipOnsite
• Handle feedback and priority conflictsMedium

  Handle feedback and priority conflicts evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  MetaSoftware EngineerBehavioral & LeadershipOnsite
• Handle feedback, change pivots, and conflictEasy

  A Meta Data Scientist technical-screen behavioral question covering three leadership prompts: giving or receiving constructive feedback, pivoting when a project's direction or business conditions change, and resolving conflict with a teammate or stakeholder. The model answer gives a STAR rubric, strong vs. weak signals, and a practical template for each story.

  MetaData ScientistBehavioral & LeadershipTechnical Screen
• Handle palindrome & decimal additionMedium

  This question evaluates string manipulation and numeric representation skills, specifically handling decimal-point addition with arbitrary precision and reasoning about palindrome/permutation properties.

  MetaSoftware EngineerCoding & AlgorithmsTechnical Screen