1. improve the worst booking experience
2. the worst post-booking experience
3. increase top-line
4.improve experience
5. a failed product/project
6.price promotion
7.improve experience
8. Pick a music/podcast app
9.the worst post-booking experience on the platform
10.How would you improve it
11. worst post booking experience
12.How would you prioritize
13.insert your favorite music app
14.the worst post booking experience at OpenTable
15.OpenTable's
16. improve the post-booking experience
17.improve Spotify
18.solution for worst post
19."Buddy Strings Problem"
20.两个数组的重合区域
21.Analyze performance of subscription services
22.Investigate the drop of new customers
23.Investigate the decrease of subscription of dashpass
24.Measure the success of dashpass
25.objective of dashpass
26.Problem of search results
27.Reasons of why no differences in ab tesing
28.Metrics of adding search bar
29.Investigate the increase of dasher waiting time in restaurants
30.Food Rating System Design and Implementation
31.Root cause of not working
32.Compare adopters and non-adopters using causal inference
33.Seasonal effect
34.Longest Valid Parentheses Substring Length
35.In-Memory File System Design
36."Minimum Steps to Make Two Strings Anagrams"
37.同事是否给你feedback
38.做mentor经历
39.为公司diversity做过什么贡献
40.可以做得更好的project
41.犯错
42.最proud的project
43.Doordash改进的地方
44.Dominoes Falling Simulation
45.Catering service complain
46.Cooperation with restaurants
47.Percentage calculation
48.Sending coupons
49.Influence of server down
50.推荐系统
51.预测Order Number
52."Maximizing Profit by Assigning Jobs to Workers Based on Difficulty and Ability"
53."Check if Two Letters Can Be Swapped to Make Strings Equal"
54.Minimum Swaps to Make Strings K-Similar
55.Largest Rectangle in Histogram
56.Finding Lowest Common Ancestor in a Binary Search Tree
57.Binary Tree Vertical Order Traversal
58.Binary Tree Right Side View
59.Binary Tree Level Order Traversal II
60.Binary Tree Level Order Traversal
61.Remove Duplicates from Sorted List
62.Remove Duplicates from Sorted List II
63.Swap Nodes in Pairs in Linked List
64.Merge K Sorted Linked Lists
65.Possible Bipartition
66.Similar restaurants
67.Delivery Schedule
68.Grocery delivery
69.Growth
70.餐馆引入促销功能
71.Increase radius to 10 miles from 5 miles
72.Super late的order
73.Dasher extra pay incentive program
74.超过100刀的订单
75.Grocery store add search bar
76.DashPass
77.Roll out product
78.Data collection
79.SQL filtering and aggregation functions
80.Experiement design
81.Experiement design
82.Experiement design
83.SQL aggregation function
84.Metrics analysis
85.AB Test
86.SQL aggregation function
87.SQL window function
88.SQL aggregation function
89.Ncrease dasher response rate
90.SQL aggregation function
91.SQL aggregation function
92.Metrics evaluation
93.异动分析以及原因
94.AB Test
95.SQL filtering and aggregation functions
96.Explain launched feature only used once
97.Experimental design
98.What metrics will you use to evaluate the impact
99.API delimiter
100.Similar restaurants
101.Update menu
102.Number of drop in a gateway
103.Balls left after collision
104.Max profit for cooking
105.Circuit breaker design
106.Opening and closing time for a restaurant
107.Maximizing Profit from Non-Overlapping Part-Time Jobs
108.SwimInRisingWater
109.Minimum Eating Speed to Finish Bananas
110.Minimum Size Subarray Sum
111.Remove smallest peaks in order
112.Min number of operations to update menu
113.Return all timestamp
114.Min time from top left to bottom right
115.两个product合并
116.新的城市sign on新的餐厅
117.Maximum Path Sum in Binary Tree with Leaf-to-Leaf Requirement
118.find the length of the longest path that has the same values
119.消消乐
120.Asteroid Collision
121.Number of requests dropped
122.Find the Nearest City
123.Menu Tree Operations
124.Optimize Team Formation Algorithm
125.Implement Shortest Path Using Heap
126.System Design: 3 Day Donation Platform
127.Behavioral Questions
128.Order Assignment Debugging
129.Classic Algorithm for Calculating Dasher Salary
130.Algorithm - LeetCode Hunger Death
131.Algorithm - Compare Tree Differences
132.Behavioral - Proud Project and Failure Experience
133.System Design - Classic 3-day Donation
134.Next Permutation
135.Maximum Sum of 7 Consecutive Days
136.Find the Nearest Warehouse Distance
137.Reducing Wrong Orders
138.Load Balancer Debugging
139.Dasher Salary Calculation
140.Legends Assemble
141.Team Formation
142.SQL Add-On Test
143.Business Insights from Sample Deliveries Data
144.SQL Knowledge Assessment
145.BFS Algorithm: Dashmart Question
146.Learning from Mistakes
147.Conflict Resolution
148.Project Experience and Redesign
149.System Design: 3 Day Donation
150.Tree Difference Count
151.Optimize Dashmart Locations
152.Design Instagram
153.Implement a Key-Value Store for Storing Paths
154.Calculate Tree Node Changes
155.Identifying Root Causes for Metric Decline
156.Decision Making for Dasher Payment Methods
157.Understanding DoorDash's 3-Sided Marketplace
158.Product Case Analysis for Launching a Biker as a Dasher
159.Case Study: Launch Biker
160.SQL Delivery Question
161.Dasher Parking Lot Time Analysis
162.Launching Biker Dasher Case Analysis
163.SQL Month Over Month Sales Percentage Change Calculation
164.Detecting abnormal trends in ETA
165.Choose a key metric for cold food complaints
166.Describe the output of a complex SQL query
167.Design a Food Review System
168.Find Differences Between Two Trees
169.Behavioral Question: A Project You Are Most Proud Of
170.Machine Learning Depth
171.Design a Recommendation System
172.Design an API and Function for Calculating Dasher's Salary
173.Implement Consistent Hashing
174.Designing and Evaluating an A/B Test for 2-Step Verification
175.Building a Proactive Fraud Identification System
176.Defining and Monitoring Fraud Events
177.Conflict Resolution
178.Handling Constructive Feedback
179.Self-directed Learning Measurement
180.Incremental Array to Integer Conversion
181.Android Multithreading and Design Patterns
182.Design an Android App Feature
183.Designing a Home Feed Ranking System
184.ML Model Adaptation for Different Domains
185.Debugging iOS Application
186.Calculate Percentage of Customers Ordering from Bottom Quantile Restaurants
187.Determine Top Restaurants for Frequent Customers
188.Identify Customers with Highest Number of Deliveries
189.Calculate Infrequent Customer Percentage
190.Fixed Sliding Window Maximum Value Problem
191.General Machine Learning Questions
192.Restaurant Recommendation System
193.Design a system for matching delivery riders with orders
194.Evaluating the Success of the Bike Dasher Launch
195.SQL Query Modification for Different Metrics
196.Integrate Multiple Services into a Single Service
197.Debug and Implement Round Robin Request Distribution
198.Design a Review System
199.Longest Common Subsequence of Two Orders
200.Path Requirement in a Modified LeetCode Problem
201.Data Pipeline and Deployment Details
202.System Design for Machine Learning Systems
203.Product Issue Resolution in Marketing Models
204.Delivery Locations Ordering
205.Design an API to Display Orders for Dashers Based on Rank and Pickup Time
206.SQL Query - Bottom Quartile Restaurant Orders
207.SQL Query - Month-over-Month Sales Change
208.SQL Query - Most Frequent Customers
209.SQL Query - High-frequency Customers
210.Support Cost Analysis
211.Find the Shortest Distance to Cities with Matching Coordinates
212.Buddy Strings and K-Anagrams
213.Island Perimeter Variant
214.System Design for a Messaging Application
215.Encouraging Junior Employees to Speak Up
216.Comparing Two Trees
217.Determining Promotion Discount Rates
218.Designing an A/B Testing Experiment
219.SQL Monthly Data Correction
220.SQL Lag Window Function
221.SQL Reverse Order Query
222.SQL Monthly High Frequency Users
223.Evaluating the Addition of a New Payment Method to Increase Retention Rate
224.Investigating Low Consumer Retention Rate
225.Identify High-Frequency Customers and the Top Customer by Order Count
226.Behavioral Question: Expectations for the Next Role
227.Design a Food Review System
228.Optimize Time Complexity
229.Find the Closest Dashmart to the Maximum Number of Customers
230.Analyzing Bottom 25% Restaurant Orders and Customers Percentage
231.Month-over-Month Sales Change for a Given Restaurant
232.Identifying Top Customers Excluding High Frequency Ones
233.Calculating High Frequency Customer Percentage
234.Investigating Increased Customer Complaints
235.Experiment Design for a New Delivery Feature
236.Evaluating Success of a New Logistics Feature
237.Estimating Impact for a New Logistics Feature
238.eBike Case Study
239.SQL Questions
