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CP Kukreja Architects Consultant Interview Questions and Answers
CP Kukreja Architects Consultant Interview Experiences
1 interview found
KAMLENDR SINGH
(4 Questions)
- Q1. Why PCC work at place in site ?
- Ans.
PCC works at the place in site to ensure smooth operations and efficient communication.
PCC is responsible for coordinating between different departments and ensuring that everyone is on the same page.
They work closely with site managers to identify and address any issues that may arise.
PCC also plays a crucial role in maintaining safety standards and ensuring compliance with regulations.
Examples of tasks performed by P...
- Q2. Why RCC work at place in site ?
- Ans.
RCC work is done at place in site to provide a strong foundation for the structure.
RCC work provides strength and durability to the structure.
It helps in distributing the load of the structure evenly.
RCC work is done at the foundation level to provide a strong base.
It helps in preventing cracks and damages to the structure.
- Q3. Why HYSD bar is code ?
- Ans.
HYSD bar is code to ensure quality and strength of reinforcement bars used in construction.
HYSD stands for High Yield Strength Deformed bar.
It is a type of reinforcement bar used in construction to provide tensile strength to concrete structures.
The code ensures that the HYSD bars meet certain quality and strength standards.
The code specifies the chemical composition, mechanical properties, and dimensions of the bars.
E...
- Q4. Cement cube ki size kya hai ?
Interview Preparation Tips
Interview questions from similar companies
Anonymous
Good coding questions were asked
(1 Question)
- Q1. What is Difference between Word2Vec and Glove
- Ans.
Word2Vec and Glove are both popular algorithms for generating word embeddings, but they differ in their approach to training.
Word2Vec is a predictive model that learns word embeddings by predicting the surrounding words in a sentence.
GloVe (Global Vectors for Word Representation) is a count-based model that learns word embeddings by looking at global word co-occurrence statistics.
Word2Vec is trained on a large corpus o...
(1 Question)
- Q1. Regarding projects
Selected
I applied via Job Portal and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Product related enquiry
- Q2. Address confirmation
Interview Preparation Tips
It is just a speed test 50 questions for 1 hours
Selected
I applied via Job Portal and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Product related enquiry
- Q2. Address confirmation
Interview Preparation Tips
Jai Narayan Suresh
Quant, reasoning , math , e
(1 Question)
- Q1. Not Applicable
I applied via Naukri.com and was interviewed before Jul 2023. There was 1 interview round.
(2 Questions)
- Q1. Question related to the filed
- Q2. Situational based question
Interview Preparation Tips
Interview Questionnaire
2 Questions
- Q1. Estimate the revenue of the company?
- Ans.
I don't have the available data to estimate the revenue of the company.
No data available to estimate revenue.
- Q2. What does EXL do?
- Ans.
EXL is a global operations management and analytics company.
Provides end-to-end business solutions to clients across various industries
Offers services such as data analytics, digital transformation, and finance and accounting
Has a global presence with offices in North America, Europe, and Asia
Works with clients such as Barclays, AIG, and Kraft Foods
Employs over 31,000 professionals worldwide
Interview Preparation Tips
Experience: This was a Technical + HR round.
Tips: They look at your love for numbers. Link your resume points to solving data analysis and case studies. New companies look for good CGPA. Go through puzzles to prepare. It’s not the final answer that matters, but how you get to it.
Skill Tips: """"""
Skills: Analytical Thinking, Problem solving, Playing with numbers
College Name: IIT Madras
Good coding questions were asked
(1 Question)
- Q1. What is Difference between Word2Vec and Glove
- Ans.
Word2Vec and Glove are both popular algorithms for generating word embeddings, but they differ in their approach to training.
Word2Vec is a predictive model that learns word embeddings by predicting the surrounding words in a sentence.
GloVe (Global Vectors for Word Representation) is a count-based model that learns word embeddings by looking at global word co-occurrence statistics.
Word2Vec is trained on a large corpus o...
(1 Question)
- Q1. Regarding projects
It is just a speed test 50 questions for 1 hours
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