TCS Database Developer Interview Questions and Answers

Q1. How to run parallel queries for multiple databases ??
Ans. 
To run parallel queries for multiple databases, use parallel processing techniques and tools.
• Use parallel processing techniques such as multi-threading or distributed computing to run queries simultaneously on multiple databases.

• Consider using tools like Apache Hadoop or Apache Spark for parallel processing of queries across multiple databases.

• Ensure proper resource allocation and optimization to prevent performance is...read more
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Q2. What is normalisation technique used for database??
Ans. 
Normalization technique is used to organize data in a database to reduce redundancy and improve data integrity.
• Normalization involves breaking down a table into smaller tables and defining relationships between them.

• It helps in reducing data redundancy by storing data in a structured and organized manner.

• Normalization ensures data integrity by minimizing data anomalies such as update, insert, and delete anomalies.

• There...read more
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Q1. What is database architecture?
Ans. 
Database architecture refers to the design and structure of a database system.
• Database architecture includes the organization of data, storage, retrieval, and security mechanisms.

• It involves defining the relationships between data elements and how they are stored and accessed.

• Examples of database architectures include hierarchical, network, relational, and object-oriented.

• Database architecture also includes the choice ...read more
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Q2. Difference between delete and truncate
Ans. 
Delete removes rows one by one, while truncate removes all rows at once.
• Delete is a DML command, while truncate is a DDL command.

• Delete can be rolled back, while truncate cannot be rolled back.

• Delete fires triggers, while truncate does not fire triggers.

• Delete is slower as it logs individual row deletions, while truncate is faster as it logs the deallocation of the data pages.

• Example: DELETE FROM table_name WHERE condi
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