Add office photos
Engaged Employer

Ernst & Young

3.4
based on 10.6k Reviews
Video summary
Filter interviews by

Piramal Group Interview Questions and Answers

Updated 13 Dec 2024
Popular Designations

Q1. What is your understanding of normalization, facts, and dimensions in the context of database design?

Ans.

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. Facts and dimensions are components of a star schema used in data warehousing.

  • Normalization involves breaking down data into smaller, more manageable tables to reduce redundancy and improve data integrity.

  • Facts are numerical data that can be analyzed, such as sales revenue or quantity sold.

  • Dimensions are descriptive attributes related to the facts, such as product na...read more

Add your answer

Q2. What is high availability orchestrator? When HA needed What is Orchestrator API What is process mining What is fuzzy selector

Ans.

High availability orchestrator is a tool that ensures continuous availability of critical systems and applications.

  • HA orchestrator is used to minimize downtime and ensure business continuity.

  • It monitors the health of systems and applications and automatically switches to a backup system in case of failure.

  • Examples of HA orchestrators include Kubernetes, Docker Swarm, and Apache Mesos.

  • Orchestrator API is a set of programming interfaces that allow developers to interact with th...read more

Add your answer

Q3. How to estimate baseline of a demand prediction model ?

Ans.

Estimating baseline of a demand prediction model involves analyzing historical data and trends to establish a starting point for future predictions.

  • Collect and analyze historical demand data to identify patterns and trends

  • Use statistical methods such as moving averages or exponential smoothing to calculate a baseline

  • Consider external factors like seasonality, promotions, and market trends that may impact demand

  • Validate the baseline by comparing it to actual demand data and ad...read more

Add your answer

Q4. How would you explain Random Forest to your mother?

Ans.

Random Forest is like a group decision-making process where multiple opinions are combined to make a final decision.

  • Random Forest is a machine learning algorithm that builds multiple decision trees and merges them together to get a more accurate and stable prediction.

  • Each decision tree in the Random Forest is trained on a random subset of the data and features, and then the final prediction is made by averaging the predictions of all the trees.

  • It is like asking multiple peopl...read more

Add your answer
Discover Piramal Group interview dos and don'ts from real experiences

Q5. SQL based question - How to join 2 tables without a common key

Ans.

Use CROSS JOIN to combine all rows from both tables

  • Use CROSS JOIN to combine all rows from both tables

  • Filter the results based on other conditions if needed

Add your answer

Q6. How to estimate demand of a new product?

Ans.

Estimate demand of a new product by analyzing market trends, conducting surveys, studying competitors, and considering pricing strategies.

  • Conduct market research to understand consumer preferences and buying habits

  • Analyze historical sales data of similar products to identify potential demand patterns

  • Study competitors' sales and market share to gauge potential demand for the new product

  • Consider pricing strategies and promotions to attract customers and drive demand

  • Conduct surv...read more

Add your answer

Q7. How do you handle risk ?

Ans.

I handle risk by conducting thorough risk assessments, developing mitigation strategies, and closely monitoring potential risks.

  • Conducting thorough risk assessments to identify potential risks

  • Developing mitigation strategies to minimize the impact of risks

  • Closely monitoring potential risks and adjusting strategies as needed

Add your answer

Q8. Data modeling techniques

Ans.

Data modeling techniques are used to create a visual representation of data and its relationships.

  • Data modeling helps in understanding the data and its structure.

  • It involves identifying entities, attributes, and relationships.

  • Techniques include ER modeling, UML modeling, and dimensional modeling.

  • Normalization is used to eliminate data redundancy.

  • Data modeling is important for database design and development.

Add your answer
Contribute & help others!
Write a review
Share interview
Contribute salary
Add office photos

Interview Process at Piramal Group

based on 21 interviews
4 Interview rounds
Technical Round
One-on-one Round - 1
One-on-one Round - 2
One-on-one Round - 3
View more
Interview Tips & Stories
Ace your next interview with expert advice and inspiring stories

Top Manager Interview Questions from Similar Companies

3.7
 • 37 Interview Questions
3.9
 • 24 Interview Questions
3.4
 • 15 Interview Questions
3.8
 • 14 Interview Questions
4.0
 • 13 Interview Questions
4.1
 • 12 Interview Questions
View all
Share an Interview
Stay ahead in your career. Get AmbitionBox app
qr-code
Helping over 1 Crore job seekers every month in choosing their right fit company
70 Lakh+

Reviews

5 Lakh+

Interviews

4 Crore+

Salaries

1 Cr+

Users/Month

Contribute to help millions

Made with ❤️ in India. Trademarks belong to their respective owners. All rights reserved © 2024 Info Edge (India) Ltd.

Follow us
  • Youtube
  • Instagram
  • LinkedIn
  • Facebook
  • Twitter