Adobe数据相关面经_Adobe数据相关面试真题及高频题

1.Explain P-Value in Layman's Terms

2.Database Indexing Design

3.Implement a Simple KNN Algorithm

4.Self-Attention Encoder Implementation

5.How to prepare for coding interviews at smaller companies?

6.Describe your understanding of A/B testing and Elasticsearch.

7.Discuss your approach to data handling and noise reduction.

8.Shopping Cart Optimization

9.DAU Gradual Decline Statistical Validation

10.Defining and Calculating Meaningful Sessions

11.Format Phone Number with Country Code

12.Job Execution Minimum Operations

13.SQL Calculation of Total Fees

14.SQL Fundamentals

15.Machine Learning Concepts

16.Case Study: Recommendation System

1. Explain P-Value in Layman's Terms

How would you explain the concept of a p-value in simple terms?

2. Database Indexing Design

The hiring manager asked very detailed questions about the projects listed on the resume and many questions related to database indexing, especially B-trees. How would you design a database indexing system using B-trees?

3. Implement a Simple KNN Algorithm

Implement a simple KNN (K-Nearest Neighbors) algorithm and discuss possible optimizations.

4. Self-Attention Encoder Implementation

Implement a self-attention encoder in a provided Colab environment. Make sure to understand and correctly apply the concepts of Key, Query, and Value within the encoder.

5. How to prepare for coding interviews at smaller companies?

Before interviewing for a Software Development Engineer (SDE) position at smaller companies, make sure to implement mainstream data structures and sorting algorithms. For Machine Learning (ML) positions, implement mainstream ML algorithms.