ivy Lead Engineer Interview Questions and Answers

Copy pasted leetcode hard and expecting to give mugged up answer:

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
Answered by AI
Add your answer
Q2. Java Array and problem solving
Add your answer

Q1. Our project contains interview question related to JAVA.
Add your answer

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.
Answered by AI
Add your answer
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
Answered by AI
Add your answer

Q1. It was on group by & join queries
Add your answer
Q2. Get the latest diagnosis date of patient
Add your answer

Q1. One puzzle question
Add your answer
Q2. Explain Machine learning in layman language in 2 minutes to client
Ans. 
Machine learning is a type of artificial intelligence that allows computers to learn and improve from experience without being explicitly programmed.
• Machine learning is like teaching a computer to recognize patterns and make decisions based on data.

• It involves algorithms that analyze data, identify patterns, and make predictions or decisions.

• Examples include recommendation systems like Netflix suggesting movies based o...read more
Answered by AI
Add your answer

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.
Add your answer
Q2. Some of the system debugging/performance improvement questions are asked from both UI and backend.
Add your answer

You can get the information and answer in Google

Q1. Xg boost, naive Bayes algorithm, standard deviation formula and detailed information about that
Add your answer
Q2. What is xg boost All about naive Bayes algorithm Standard deviations and the formula
Add your answer
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
Answered by AI
Add your answer

Backtracking problem for tree

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
Answered by AI
Add your answer