Datadog Interview Questions
Practice 18 real interview questions from Datadog. Covers Coding & Algorithms, Behavioral & Leadership, Machine Learning, ML System Design. For roles including Software Engineer, Machine Learning Engineer.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design an LLM Agent System That Automatically Resolves Jira Tickets and Opens Pull Requests
This ML system design question evaluates the ability to architect an autonomous LLM-agent pipeline spanning retrieval-augmented generation, tool integ...
Implement Grouped-Query Attention (GQA)
This question evaluates a candidate's understanding of transformer attention mechanisms, specifically how grouped-query attention balances the memory ...
Implement DeleteTree With Limited Filesystem APIs
Review a filesystem implementation problem that asks you to delete an entire tree using only limited list, delete, and directory-check APIs. The quest...
Implement Focal Loss for Class-Imbalanced Classification
This question evaluates a candidate's ability to implement a specialized loss function for class-imbalanced classification from basic tensor operation...
Implement buffered file writer with concurrency support
You are given a simple file writer class that writes data directly to disk: `cpp class FileWriter { public: // Append data to the file on disk imm...
Implement a Snowflake Query Client
Build a lightweight query client for a Snowflake-like data warehouse. Implement a QueryClient that can: 1. Connect to the warehouse using configuratio...
Design log-query stream processor
Design log-query stream processor Stream Processor: Query Registration and Log Tagging Context You are designing a streaming component that ingests a ...
Design an image detection system
System Design: End-to-End Image Object-Detection Service Context Design a production-grade service that ingests user-uploaded images, runs object dete...
Explain a project concisely and deeply
Behavioral: Impactful Project — 60–90s Overview + Deep Dive Provide a concise 60–90 second overview of one impactful project you owned or led, then do...
Deep-dive a recent project
Project Deep-Dive (Technical Screen: Behavioral & Leadership) Context You will be asked to walk through a recent project you owned end-to-end. Assume ...
Describe handling conciseness feedback
Behavioral: Conciseness Feedback and Adaptation Provide a real example where you received feedback that your answers were not concise. Address the fol...
Build span trees from unordered trace spans
This question evaluates skill in reconstructing hierarchical relationships from unordered span records, testing understanding of tree structure assemb...
Implement Prefix Match Filter
Design a data structure that stores a collection of prefix strings. Then, given a list of input strings, return every string that begins with at least...
Implement log storage and querying
Design a data structure to record log entries and support efficient queries. Each log has a timestamp (milliseconds), severity (INFO/WARN/ERROR), serv...
Match logs to prior queries
Question You receive a stream of strings, each beginning with either "Q:" (query) or "L:" (log). A query consists of space-separated words and should ...
Design log queries and a buffered writer
Part A — Log store with time-range queries: Implement a data structure that ingests log entries with ISO-8601 timestamps (e.g., YYYY-MM-DD HH:MM:SS) a...
Compute sliding window sums by tag
Question Given a list of datapoints where each datapoint has tags, a timestamp, and a value, write a function that, for a specified tag t and window s...
Implement write with internal buffer
Implement a buffered writer over an expensive sink API. You are given a function writeToDevice(byte[] chunk) that may accept at most M bytes per call ...