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Computer science concepts
Explore algorithm tutorials, coding and system design questions, interview experiences, and computer science study guides.
601 resources · Page 18 of 26
Computer science concepts
PM Technical Fundamentals for Growth Experimentation
Interviewers are probing whether a Product Manager can use experimentation to make disciplined growth decisions without overstepping into data science…
Computer science concepts
Power, MDE, And Multiple Testing
What's being tested Ability to design and interpret online experiments: compute/sample-size choices for a target MDE, tradeoffs between alpha/power/sample…
Computer science concepts
Practical Analytics And SQL Fluency
Demonstrates practical SQL metric translation: turn a product question into correct, auditable queries that answer “who,” “when,” and “how much.”…
Computer science concepts
Precision-Recall Curves And Classification Metrics
Candidates must show they can evaluate and compare binary classifiers under realistic constraints: compute and interpret precision–recall curves, choose…
Computer science concepts
Pricing And Promotion Optimization
Interviewers probe your ability to translate sales and pricing data into actionable causal estimates and evaluations that drive merchandising and…
Computer science concepts
Prioritization And Tradeoff Frameworks
Interviewers are probing your ability to make high-quality, defensible product tradeoffs under uncertainty: prioritize features, define success metrics…
Computer science concepts
Privacy and Data Leakage Mitigation
Interviewers probe your ability to identify, quantify and mitigate ways sensitive information or future information can leak through an ML pipeline—both…
Computer science concepts
Privacy-Conscious Measurement and Differential Privacy
1. What it is Privacy‑conscious measurement means learning useful aggregate signals (e.g., ad lift, conversion rates) while minimizing exposure of raw user…
Computer science concepts
Privacy, Governance, And Leakage For Community Data
Interviewers are probing your ability to operationalize safe, compliant ML on community-derived signals: identify and prevent target leakage, enforce…
Computer science concepts
Privacy-Preserving Analytics And Governance
What's being tested Understanding of technical privacy primitives, tradeoffs between utility and privacy, and practical governance controls for safe…
Computer science concepts
Probability, Bayes, And Base Rates
Interviewers are testing whether you can reason under uncertainty without ignoring prevalence, selection effects, or asymmetric costs. For a Meta Data…
Computer science concepts
Probability, Combinatorics, And Expected Value
Candidates must demonstrate precise probabilistic reasoning and combinatorial counting under constraints, plus the ability to translate those analyses into…
Computer science concepts
Probability, Conditional Expectation And Bayes Rule
Interviewers probe your ability to reason about uncertainty: forming and manipulating conditional probabilities, computing conditional expectations, and…
Computer science concepts
Probability, Expected Value, And Randomness
Probability and expected value questions test whether you can model uncertainty precisely, reduce a random process to a small set of states, and compute an…
Computer science concepts
Probability Modeling, Expectation, And Variance
Interviewers are probing whether you can translate an ambiguous product or experimentation scenario into a probability model, compute expectation or…
Computer science concepts
Probability Models and Poisson Approximations
1. What it is Probability models describe randomness with mathematical structures (e.g., Bernoulli, Binomial, Poisson). When events are rare and mostly…
Computer science concepts
Probability, Weighted Sampling, And Random Walks
These problems test discrete probability reasoning (hitting/absorbing probabilities in 1D random walks) and practical weighted sampling implementations for…
Computer science concepts
Problem Framing: Regression Vs. Classification
The interviewer is checking a candidate's ability to frame a prediction task correctly as regression versus classification, pick appropriate baselines and…
Computer science concepts
Product Debugging And Funnel Analysis
Interviewers probe your ability to diagnose product health using metric decomposition, prioritize fixes, and recommend measurable product changes that move…
Computer science concepts
Product Diagnostics And Root Cause Analysis
Meta is testing whether you can debug a real product metric movement under ambiguity: separate measurement problems from product/user behavior, localize…
Computer science concepts
Product Metric Frameworks
Interviewers are testing whether you can translate an ambiguous product goal into a decision-ready metric framework: success metrics, guardrails…
Computer science concepts
Product Metrics And Guardrails
Interviewers are testing whether you can translate an ambiguous product change into a metric strategy that is causal, measurable, and aligned with…
Computer science concepts
Product Metrics and Guardrails Framework
1. What it is A practical way to define a primary success metric for a product and a small set of “guardrail” metrics that prevent wins from causing hidden…
Computer science concepts
Product Metrics, Guardrails, And Launch Decisions
Interviewers are testing whether you can turn an ambiguous product launch into a defensible measurement strategy: primary success metric, guardrails…