Tredence Interview Questions, Process, and Tips

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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Q1. Dax queries on scenario based
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Q2. Sql queries on scenario based
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Pair Sum
1hr 45 mins

Q1. Guesstimate certain situations
Ans. 
Estimate the number of cars passing through a busy intersection in a day
• Estimate the average number of cars passing through the intersection per hour

• Consider peak traffic hours and adjust the estimate accordingly

• Factor in any special events or holidays that may affect traffic flow
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Q2. Puzzle problem with various modification
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