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Yelp数据相关面试真题

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计算机科学
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面试题
全部(34)
SQL(9)
Coding(13)
ML basics(3)
Stats(4)
Product Case(4)
高频题(0)
Other(1)
全部(34)
SQL(9)
Coding(13)
ML basics(3)
Stats(4)
Product Case(4)
高频题(0)
Other(1)
1.The most success and failure customers
2.Ratio of acceptor
3.SQL Problem Solving
4.How to test a probability problem
5.Calculate Business Interaction Weights
6.Evaluating Overall Effectiveness from Multiple A/B Tests
7.Applying Bonferroni Correction in Multiple A/B Tests
8.Decision Making Based on Significant A/B Test Results
9.Interpreting A/B Test Results with a 2% CTR Improvement
10.Designing an A/B Test for a New Feature in the Yelp App
11.User Rating System Similarity Score
12.Designing a Personalized Landing Page
13.Calculate Similarity Between Two Names
14.Restaurant Waiting Time
15.Prefix Search
16.Python Pandas Data Cleaning
17.SQL Query for Popular Items
18.Jaccard Similarity Calculation
19.Identify Customers with Most Successes and Failures in Campaigns
20.Calculate Donor to Acceptor Ratio
21.Medium difficulty SQL and pandas in Python
22.Statistical knowledge and A/B testing
23.Review Summary Status Algorithm
24.Business Similarity Python Script
25.City Blood Donation Ratio SQL Query
26.Intermediate Activity SQL Query
27.AB Testing Fundamentals
28.Python Functions for Maximum Values
29.SQL Query for Business Data
30.Business Review Suggestions Ranking
31.Predicting Business Type for Yelp
32.Python Business Filter Similar to a LeetCode Problem
33.SQL Query to Find the Product with the Maximum Discount in Each Category
34.SQL Query to Find Activity Count That Is Neither Maximum Nor Minimum
1. The most success and failure customers
 | 三个input table,第一个table是customer id 和name,第二个table是campaign
 id, customer id和campaign name,第三个table是campaign id 和 success / failure,要求output success 最多和failure最多的customer。
2. Ratio of acceptor
两个input table,分别是blood donor和acceptor,算每个城市donor:acceptor的ratio
output出ratio最高和最低的。
3. SQL Problem Solving
During an SQL assessment, you encounter a question that seems to have issues and cannot be solved considering special cases. How would you handle this situation during the interview?
4. How to test a probability problem
During the interview, a follow-up question was asked about how to test a probability problem. Discuss the approach you would take to test such a problem, including any considerations for edge cases and the use of global variables and pointers, especially in the context of Python's shallow copy and deep copy.
5. Calculate Business Interaction Weights
Given a list of user interactions with businesses on Yelp, where each interaction type has a specific weight (review: 1, comment: 2, liked: 0.3, etc.), write a function to calculate the total weight for each business ID. Then, sort the businesses by descending total weight and ascending business ID, and return a list of the sorted business IDs.