Freshworks Lead Engineer Interview Questions and Answers

Q1. Transaction in Spring Boot
Ans. 
Transactions in Spring Boot help manage database operations as a single unit of work.
• Transactions ensure ACID properties (Atomicity, Consistency, Isolation, Durability) for database operations.

• Use @Transactional annotation to mark a method as transactional.

• Transactions can be managed programmatically using TransactionTemplate.

• Rollback can be triggered manually in case of exceptions.

• Spring Boot supports both declarative
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Q2. Java Array and problem solving
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Q1. Our project contains interview question related to JAVA.
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Q1. Train a Decision Tree based on dataset provided?
Ans. 
Train a Decision Tree based on provided dataset.
• Preprocess the dataset by handling missing values and encoding categorical variables.

• Split the dataset into training and testing sets.

• Train the Decision Tree model on the training set.

• Evaluate the model's performance on the testing set using metrics like accuracy or F1 score.
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Q2. How can you do feature selection?
Ans. 
Feature selection can be done using techniques like filter methods, wrapper methods, and embedded methods.
• Filter methods involve selecting features based on statistical measures like correlation, chi-squared test, etc.

• Wrapper methods use a specific machine learning algorithm to evaluate the importance of features through iterative selection.

• Embedded methods incorporate feature selection within the model training proces...read more
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Q1. Questions were mostly around system design, you will be given a case like a stock system and specific use case is asked to design end to end from UI to backend.
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Q2. Some of the system debugging/performance improvement questions are asked from both UI and backend.
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You can get the information and answer in Google

Q1. Xg boost, naive Bayes algorithm, standard deviation formula and detailed information about that
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Q2. What is xg boost All about naive Bayes algorithm Standard deviations and the formula
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Q3. What is the Byes rules and there in deep
Ans. 
Bayes' rule is a fundamental concept in probability theory that allows us to update our beliefs based on new evidence.
• Bayes' rule is named after Thomas Bayes, an 18th-century mathematician.

• It is also known as Bayes' theorem or Bayes' law.

• Bayes' rule calculates the probability of an event based on prior knowledge and new evidence.

• It is commonly used in machine learning and statistical inference.

• The formula for Bayes' ru...read more
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Q1. High level design of search engine
Ans. 
A search engine is a software system that is designed to search for information on the World Wide Web.
• Crawling: Search engines use web crawlers to discover and index web pages.

• Indexing: The search engine creates an index of the content it finds during crawling.

• Ranking: Algorithms are used to determine the relevance of web pages to a user's query.

• User Interface: A search engine provides a user-friendly interface for use...read more
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