Accenture SQL Server Developer Interview Questions and Answers

ETL Developers are responsible for designing, developing, and maintaining ETL processes to extract, transform, and load data from various sources into a data warehouse.

• Designing ETL processes to extract data from multiple sources

• Transforming data to meet business requirements

• Loading data into a data warehouse or other target systems

• Developing and maintaining ETL jobs using tools like Informatica, Talend, or SSIS

SCD Type 1 in IICS involves overwriting existing data with new data without maintaining historical changes.

• In IICS, use the Mapping Designer to create a mapping that loads data from source to target.

• Use a Lookup transformation to check if the record already exists in the target table.

• If the record exists, update the existing record with new data using an Update Strategy transformation.

• If the record does not exist, inse...read more

A pull request is a method of submitting contributions to a project on GitHub for review and merging.

• Pull requests are commonly used in version control systems like Git to propose changes to a codebase.

• They allow developers to collaborate and discuss changes before merging them into the main branch.

• Pull requests typically include a description of the changes, related issues, and any necessary tests or documentation.

• Rev...read more

Stateful set is a Kubernetes controller that manages the deployment and scaling of a set of pods with persistent storage.

• Stateful set ensures that each pod in the set has a unique identity and stable network identity.

• Stateful set pods are created in order and are not replaced until they are deleted.

• Stateful set is commonly used for stateful applications like databases where each pod requires persistent storage.

• Example:...read more

I have used HUDI and Iceberg in my previous project for managing large-scale data lakes efficiently.

• Implemented HUDI for incremental data ingestion and managing large datasets in real-time

• Utilized Iceberg for efficient table management and data versioning

• Integrated HUDI and Iceberg with Apache Spark for processing and querying data

DBA backups in SQL are essential for data protection and disaster recovery.

• Regularly schedule full, differential, and transaction log backups to ensure data is protected.

• Store backups in secure locations to prevent data loss in case of hardware failure or corruption.

• Test backups regularly to ensure they can be restored successfully in case of emergency.

I am a dedicated and experienced MS SQL DBA with a strong background in database administration and performance tuning.

• Over 5 years of experience working as a MS SQL DBA

• Proficient in database administration tasks such as backup and recovery, performance tuning, and security

• Skilled in troubleshooting and resolving database-related issues

• Experience with SQL Server Integration Services (SSIS) and SQL Server Reporting Serv...read more

I am an experienced ETL Developer with a strong background in data integration and transformation.

• Over 5 years of experience in ETL development

• Proficient in using tools like Informatica, Talend, and SSIS

• Strong SQL skills for data querying and manipulation

• Experience in designing and implementing data warehouses

• Familiar with data modeling and ETL best practices