Ernst & Young
Piramal Group Interview Questions and Answers
Q1. What is your understanding of normalization, facts, and dimensions in the context of database design?
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
Q2. What is high availability orchestrator? When HA needed What is Orchestrator API What is process mining What is fuzzy selector
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
Q3. How to estimate baseline of a demand prediction model ?
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
Q4. How would you explain Random Forest to your mother?
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
Q5. SQL based question - How to join 2 tables without a common key
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
Q6. How to estimate demand of a new product?
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
Q7. How do you handle risk ?
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
Q8. Data modeling techniques
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.
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