Tredence Interview Questions, Process, and Tips

You will be getting questions on the tech stack you have experience with, in depth questions on Node js and React js, real time challenges faced, two coding questions (1 easy and 1 medium)

F2f round for about 1.5 hrs, you be given a task to create a functionality using frontend tech stack you have chosen, more coding questions medium level, framework related ij depth questions

Q1. Previous experience and questions related to that
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Q2. More questions on how to approach a problem
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Q1. How to handle missing values
Ans. 
Handle missing values by imputation, deletion, or using algorithms that can handle missing data.
• Impute missing values using mean, median, mode, or predictive modeling

• Delete rows or columns with missing values if they are insignificant

• Use algorithms like XGBoost, Random Forest, or LightGBM that can handle missing data
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Q2. Linear equations model metrics
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Q1. Precession vs recall?
Ans. 
Precision measures the accuracy of positive predictions, while recall measures the ability to find all positive instances.
• Precision is the ratio of correctly predicted positive observations to the total predicted positives.

• Recall is the ratio of correctly predicted positive observations to all actual positives.

• Precision is important when the cost of false positives is high, while recall is important when the cost of fa...read more
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Q2. Clustering evaluation metrics
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Q1. What is joins and types?
Ans. 
Joins are used to combine rows from two or more tables based on a related column between them.
• Types of joins include inner join, left join, right join, and full outer join

• Inner join returns rows when there is at least one match in both tables

• Left join returns all rows from the left table and the matched rows from the right table

• Right join returns all rows from the right table and the matched rows from the left table

• Ful...read more
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The first round was mix of apti and coding

Q1. What is deadlocks?
Ans. 
Deadlocks occur when two or more processes are unable to proceed because each is waiting for the other to release a resource.
• Deadlocks happen in multitasking environments where processes compete for resources.

• Four conditions must hold for a deadlock to occur: mutual exclusion, hold and wait, no preemption, and circular wait.

• Example: Process A holds Resource 1 and waits for Resource 2, while Process B holds Resource 2 a...read more
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Q2. A puzzles from gfg
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1 hour - SQL, Python, ML, Deep Learning

Q1. What is precision and recall
Ans. 
Precision and recall are metrics used in classification tasks to evaluate the performance of a model.
• Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.

• Recall is the ratio of correctly predicted positive observations to the all observations in actual class.

• Precision is about how many of the actual positive cases were correctly predicted as positive.

• Recall is...read more
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Q2. How you will remove hallucination in LLM
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Q1. What is PEFT?and what is QLORA
Ans. 
PEFT stands for Physical Education, Fine Arts, Technology. QLORA is a software platform for managing and analyzing data.
• PEFT is an acronym for Physical Education, Fine Arts, Technology, representing different areas of study or activities in education.

• QLORA is a software platform used for managing and analyzing data, often used in research or business settings.

• PEFT can be implemented in schools to ensure a well-rounded ...read more
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Q2. Explain random forest algorithm
Ans. 
Random forest is an ensemble learning method that builds multiple decision trees and merges their predictions to improve accuracy.
• Random forest creates multiple decision trees during training.

• Each tree is built using a random subset of features and data points.

• The final prediction is made by averaging the predictions of all trees (regression) or taking a majority vote (classification).
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Q1. What are the challanges you faced
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Q2. How do you manage team?
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Q1. Find the customer_id with maximum number of purchases consecutively?
Ans. 
Customer_id with maximum consecutive purchases
• Identify consecutive purchases for each customer

• Track the maximum consecutive purchases and corresponding customer_id

• Consider edge cases like ties or no consecutive purchases
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Q2. Find the product_id that got returned more than 10 times in a month and more than 3 times in a year?
Ans. 
Identify product_id with more than 10 returns in a month and 3 returns in a year.
• Filter the dataset by returns in a month and returns in a year

• Group the data by product_id and count the number of returns

• Identify product_id with counts exceeding the thresholds
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