Amla Commerce Database Architect Interview Questions and Answers

Q1. What are the various data warehousing techniques used, and can you explain them in detail?
Ans. 
Various data warehousing techniques include dimensional modeling, star schema, snowflake schema, and data vault.
• Dimensional modeling involves organizing data into facts and dimensions to facilitate easy querying and analysis.

• Star schema is a type of dimensional modeling where a central fact table is connected to multiple dimension tables.

• Snowflake schema is an extension of star schema where dimension tables are normali...read more
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Q2. How has your analytics work contributed to the organization?
Ans. 
My analytics work has helped the organization make data-driven decisions, improve operational efficiency, and identify new opportunities for growth.
• Developed data models and algorithms to optimize business processes

• Generated insights from large datasets to drive strategic decision-making

• Identified trends and patterns to improve customer experience and retention

• Implemented data governance policies to ensure data quality
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Q1. How would you respond in various situations?
Ans. 
I would respond in various situations by remaining calm, assessing the situation, and providing a thoughtful and strategic solution.
• Remain calm and composed

• Assess the situation thoroughly

• Provide a thoughtful and strategic solution

• Communicate effectively with all parties involved
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Q2. What is more important career , team
Ans. 
Both career and team are important, but ultimately career growth should be prioritized.
• Career growth is essential for personal development and achieving professional goals.

• A strong team can support career growth by providing mentorship, collaboration, and opportunities for learning.

• Balancing career and team dynamics is key to long-term success in any role.
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Q1. Tell me the high level overview of dataguard installation?
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Q2. What are your daily tasks adn what things you handel in your team?
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Q1. Questions related to the current and past projects.
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Q2. Aws related questions.
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Q3. Data warehousing basics
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Q1. Explain about the roles and responsibilities.
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Q2. Discussion about the role in Genpact.
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Q1. Asked about expectated salary
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Q2. Why are you switching
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Q1. What is dba, explain the architecture of dba
Ans. 
DBA stands for Database Administrator. The architecture of DBA involves managing and maintaining databases to ensure data integrity and security.
• DBA is responsible for installing, configuring, and upgrading database software.

• They monitor database performance and troubleshoot issues.

• DBA designs and implements backup and recovery strategies to prevent data loss.

• They also manage user access and security permissions within...read more
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Q2. How you will maintain the database and what are the types of backup
Ans. 
Maintaining the database involves regular monitoring, performance tuning, applying patches, and ensuring backups are taken regularly.
• Regularly monitor database performance and usage

• Perform routine maintenance tasks such as applying patches and updates

• Take regular backups to ensure data integrity and disaster recovery

• Implement security measures to protect the database from unauthorized access

• Optimize database performanc
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Q1. Window function coding test
Ans. 
Window function coding test involves using window functions in SQL to perform calculations within a specified window of rows.
• Understand the syntax and usage of window functions in SQL

• Use window functions like ROW_NUMBER(), RANK(), DENSE_RANK(), etc. to perform calculations

• Specify the window frame using PARTITION BY and ORDER BY clauses

• Practice writing queries with window functions to get comfortable with their usage
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Q2. Explain azure data factory
Ans. 
Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.
• Azure Data Factory is used to move and transform data from various sources to destinations.

• It supports data integration processes like ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform).

• You can create data pipelines using a visual interface in Azure Data Factory.

• It can connect to on...read more
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Q1. What is data vault
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Data Vault is a modeling methodology for designing highly scalable and flexible data warehouses.
• Data Vault focuses on long-term historical data storage

• It consists of three main components: Hubs, Links, and Satellites

• Hubs represent business entities, Links represent relationships between entities, and Satellites store attributes of entities

• Data Vault allows for easy scalability and adaptability to changing business requ
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Q2. What is lambda architecture
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Lambda architecture is a data processing architecture designed to handle massive quantities of data by using both batch and stream processing methods.
• Combines batch processing layer, speed layer, and serving layer

• Batch layer processes historical data in large batches

• Speed layer processes real-time data

• Serving layer merges results from batch and speed layers for querying

• Example: Apache Hadoop for batch processing, Apach
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Q1. Whether have onsite exposure
Ans. 
Yes, I have onsite exposure in previous roles.
• I have worked onsite at various client locations to gather requirements and implement solutions.

• I have experience collaborating with cross-functional teams in person.

• I have conducted onsite training sessions for end users on data architecture best practices.

• I have participated in onsite data migration projects.

• I have worked onsite to troubleshoot and resolve data-related is
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Q1. Data Modeling Concepts, SQL Query
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Q2. Data Governance, Data Lineage, ETL process,
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SQL Scripts to write and also also asked to design an data model of my choice in Telecom Domain

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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