Senior Modeller
Senior Modeller Interview Questions and Answers
Q1. How do you make different systems to talk to each other? what are the considerations to design a data product? challenges and scenario based
To make different systems talk to each other, consider data formats, protocols, APIs, and security measures.
Consider using standardized data formats such as JSON or XML for interoperability.
Implement APIs (Application Programming Interfaces) to allow systems to communicate with each other.
Use protocols like REST or SOAP for data exchange between systems.
Ensure proper authentication and authorization mechanisms are in place to secure the communication.
Address challenges such a...read more
Q2. What is data governance? what is data stewardship? how do you ensure data governance is achieved
Data governance is the overall management of the availability, usability, integrity, and security of data within an organization. Data stewardship is the responsibility for managing and ensuring the quality of data within a specific domain or department.
Data governance involves defining policies, procedures, and standards for data management.
Data stewardship involves implementing and enforcing those policies within a specific area of the organization.
To ensure data governance...read more
Q3. Why tcs after a long gap
TCS offers a challenging work environment and opportunities for growth after a long gap.
TCS is known for its diverse projects and cutting-edge technologies, providing a stimulating work environment.
After a long gap, I am eager to re-enter the workforce and TCS offers a platform for me to showcase my skills and expertise.
TCS has a strong reputation in the industry and I believe working here will help me enhance my career prospects.
Q4. what is the data strategy?
Data strategy is a plan that outlines how data will be collected, stored, managed, analyzed, and utilized to support business goals.
Data strategy involves defining data governance policies and procedures.
It includes identifying data sources and determining how data will be collected and stored.
Data strategy also involves establishing data quality standards and ensuring data security measures are in place.
It outlines how data will be analyzed and utilized to drive business dec...read more
Q5. What is top down approach
Top down approach is a problem solving or design strategy that starts with the larger overview and breaks it down into smaller components.
Start with a broad overview of the problem or design
Break it down into smaller components or sub-problems
Address each component individually before integrating them back together
Commonly used in software development, project management, and system design
Q6. Star vs snowflake schema
Star schema is a denormalized schema with a single central fact table surrounded by dimension tables. Snowflake schema is a normalized schema with multiple interconnected dimension tables.
Star schema is easier to understand and query due to denormalization.
Snowflake schema saves storage space by normalizing data.
Star schema is better for data warehousing and reporting, while snowflake schema is better for OLAP systems.
Example: A star schema for a sales database would have a f...read more
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Q7. Design a data model
Design a data model for a customer relationship management system
Identify entities such as customers, products, orders, and sales representatives
Establish relationships between entities (e.g. a customer can place multiple orders)
Define attributes for each entity (e.g. customer name, product price)
Consider normalization to reduce redundancy and improve data integrity
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