CGI Group Database Architect Interview Questions, Process, and Tips

To patch specific db components to reduce downtime, follow these steps:

• Identify the specific components that need to be patched

• Plan the patching process during a scheduled maintenance window

• Backup the database before applying patches

• Apply patches to the specific components one by one

• Test the patched components to ensure they are functioning correctly

• Monitor the database for any issues post-patching

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

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

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

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

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

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

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

SQL architecture refers to the structure and components of a SQL database system.

• SQL architecture includes components like storage engine, query processor, and buffer manager.

• The storage engine manages data storage and retrieval, while the query processor processes SQL queries.

• The buffer manager handles caching and memory management to optimize performance.

• Examples of SQL architectures include MySQL, Oracle, and SQL Se

Experienced Oracle DBA with 5+ years of hands-on experience in managing databases, optimizing performance, and ensuring data security.

• 5+ years of experience as an Oracle DBA

• Proficient in database management, performance optimization, and data security

• Skilled in troubleshooting and resolving database issues

• Strong knowledge of Oracle database architecture and SQL

• Certified Oracle Database Administrator (OCA/OCP)