1.Design an Instacart marketplace bidding system.
2.Design an Instacart search ranking system.
3.Discuss the content and process of building an ads ranking model.
4.SQL Retention Rate Calculation
5.Confidence Interval Calculation
6.Evaluating the Impact of the Ultrafast Program
7.Weekly Revenue Decrease Analysis
8.Array Pair Difference
9.Board Game Operations
10.Array Pattern Matching
11.Sentence to Paragraph Conversion
12.String Character Replacement
13.Find Target Sum Index
14.Space Availability on a Number Line with Obstacles
15.Count Messages Mentioning Users
16.Bird Picking Branches in a Specific Order
17.Count Unique Digits in Range
18.SQL Query Fundamentals
19.Measuring the Impact of a New Feature
20.Analyzing a Metric Drop
21.Decode File
22.Expression Evaluation
23.SQL String Aggregation
24.SQL Window Function
25.Simple SQL Aggregation
26.Follow-up Approaches for a Case Study
27.SQL Code Modification for Dashboard Creation
28.Measuring the Effect of Incentive Coupons Using Randomized Experiment
29.Analyzing the Impact of Coupons on Consumer Behavior
30.Case Study Analysis
31.SQL Query Writing
32.SQL Error Identification
33.Access Control System Coding Problem
34.Additional Analysis and Considerations for Launch Decision
35.Impact on Unit Economics from Launching Variant to All Customers
36.How do we assess the reliability of these findings?
37.What can we learn from the experiment tests, and what do you recommend?
38.Left Join with Where Clause vs Inner Join
39.Window Function with Sorting and Handling Ties
40.Identify a product that appears only once in a table
41.Significance of Changes in Order Rate and Value Per Order
42.Marketplace Case Study
43.SQL Query Challenges
44.Investigating a Sudden Drop in Revenue
45.Investigating Shopper Retention Experiment
46.Experiment Results Analysis and Recommendation
47.Operations Research Concepts
48.ETA Prediction Model Discussion
49.Model Choice for Hierarchical Taxonomy Classification
50.Gradient Boosting Machines
51.Unsupervised vs Supervised Methods
52.Feature Preparation and Importance
53.Discuss the approach to Fraud Detection
54.Profit Per User Estimate Under Ultrafast
55.Ultrafast Delivery Impact Analysis
56.Revenue Investigation Approach
57.Simple SQL Questions
58.Evaluate the use of OLS for estimating treatment effect in an experiment with right-skewed data, and discuss the proposal of using a log transformation before applying OLS.
59.What’s the difference between the chosen model and xgboost?
60.Choose a ML model and describe to me step by step in an easy-to-understand language
61.Tell me about a time where a simple statistical method doesn’t work and you use a more advanced method to solve the problem
62.SQL Problem Solving
63.Calculate Point Estimate with Ultrafast
64.Estimate Lift in Orders Per User
65.Investigate Revenue Decrease
1. Design an Instacart marketplace bidding system.
You are asked to design an Instacart marketplace bidding system. Explain the system design and how you would implement it.
2. Design an Instacart search ranking system.
You are asked to design an Instacart search ranking system. Describe how you would approach this task.
3. Discuss the content and process of building an ads ranking model.
Discuss your background and projects, and then explain the content and process involved in building an ads ranking model.
4. SQL Retention Rate Calculation
Given customer transaction dates and delivery status, how would you calculate the retention rate considering a 15-day window for repeat purchases?
5. Confidence Interval Calculation
How do you calculate a confidence interval, and what steps can be taken to narrow down the confidence interval?
解锁更多真题，请点此 登录 篱笆帮
高频题（0）
