ByteDance数据相关面经_ByteDance数据相关面试真题及高频题

1.Machine Learning Knowledge Assessment

2.SQL Rolling and Accumulative Sum

3.SQL Ranking

4.Technical Details Discussion Based on Resume

5.ML Design Interview Question

6.Research Deep Dive

7.Identify fraud transactions.

8.Measure the contribution of e-commerce product review quantity to revenue.

9.Standard SQL problems.

10.Logistic Regression Implementation

11.Maximizing Profit by Investing in Products

12.Content Creator Engagement Challenge

13.Social Connections Profile Visibility

14.Write a Linear Regression Algorithm

15.SQL Coding Question

16.How would you help new users or products quickly integrate into the system?

17.ML Ops: Model Re-training Indicators

18.Experience with Recommendation Algorithms

19.Python Space Complexity Challenge

20.SQL Query with CTE and Window Functions

21.Spark Join Use Case

22.Most Challenging Project

1. Machine Learning Knowledge Assessment

The interviewer did not specify a particular question but indicated a desire to assess knowledge in machine learning. Since the candidate chose to discuss machine learning, the interviewer likely expected a conversation around core ML concepts, algorithms, and possibly some practical applications.

2. SQL Rolling and Accumulative Sum

Write an SQL query that calculates rolling sum and accumulative sum for a given dataset.

3. SQL Ranking

Write an SQL query to rank users according to their scores. Explain the differences between RANK, DENSE_RANK, and ROW_NUMBER functions in SQL.

4. Technical Details Discussion Based on Resume

You will be asked about the technical details mentioned in your resume. Be prepared to discuss the technical aspects of your past projects and experiences in depth.

5. ML Design Interview Question

During the interview, you will be asked to design a machine learning system. The interviewer has a background in backend engineering and may not have extensive knowledge in machine learning.