Delhivery Interview Questions, Process, and Tips

Basic questions in percentages, equations,profit abd loss, simple interest and compound interest

Basic knowledge in coding,java,python,c++

Q1. Hii hr dicijan allow karvana
Add your answer
Q2. Company me diciplean me banay rekhna
Add your answer
Q3. Have you led any team etticiently ?
Ans. 
When answering an interview question about leading a team efficiently
Answered Anonymously
Add your answer
Q4. Where to do you see yourself five years from now ?
Ans. 
you can try to demonstrate that you have a plan and are willing to grow and develop professionally.
Answered Anonymously
Add your answer
Q5. What are you ecpecting from this job ?
Ans. 
I am expecting a challenging role that allows me to utilize my skills and experience to drive successful delivery outcomes.
• Opportunity to lead and manage delivery projects

• Collaboration with cross-functional teams to ensure successful outcomes

• Continuous learning and growth opportunities

• Recognition for achievements and contributions

• Work-life balance and supportive work environment
Answered by AI
View 1 more answer

Q1. Whats difference between patch and put
Ans. 
Patch is used to update a specific part of a resource, while put is used to replace the entire resource.
• Patch is used for partial updates, while put is used for full updates.

• Patch is idempotent, meaning multiple identical patch requests will have the same effect as a single request, while put is not necessarily idempotent.

• Example: Using patch to update the title of a blog post without affecting other fields, while usin...read more
Answered by AI
Add your answer

Basic python with logical solutions. NO DSA

Q1. Tenchinal discussion on past projectss
Add your answer
Q2. Waht is bias variance trade off
Ans. 
Bias-variance tradeoff is the balance between underfitting (high bias) and overfitting (high variance) in machine learning models.
• Bias is error from erroneous assumptions in the learning algorithm, leading to underfitting.

• Variance is error from sensitivity to fluctuations in the training data, leading to overfitting.

• Finding the right balance between bias and variance is crucial for optimal model performance.

• Regularizat...read more
Answered by AI
Add your answer