Which architecture is commonly used in a modern Data Warehouse?
- Multi-tier architecture
- Single-tier architecture
- Three-tier architecture
- Two-tier architecture
A modern Data Warehouse commonly employs a Three-tier architecture. This architecture consists of the Data Warehouse database, an application server, and a client or end-user interface. It helps in separating different components for better scalability and maintenance.
What is the primary purpose of using version control in ETL testing?
- To execute ETL test cases
- To generate ETL reports
- To monitor ETL server performance
- To track changes in ETL code and configurations
The primary purpose of using version control in ETL testing is to track changes in ETL code and configurations. Version control systems allow testers to manage and maintain different versions of ETL scripts, configurations, and other artifacts, facilitating collaboration and ensuring traceability and auditability of changes.
What is the role of automation in regression testing for ETL processes?
- Enhance speed and efficiency of testing
- Ignore regression testing for ETL
- Use only manual testing for regression
- Validate data consistency manually
Automation in regression testing for ETL processes plays a crucial role in enhancing speed and efficiency. It helps in quickly validating data consistency across various transformations and ensures that changes do not introduce unexpected errors.
How can AI-driven algorithms enhance data quality checks in ETL testing?
- By automating data quality checks and identifying anomalies
- By eliminating the need for data quality checks
- By focusing solely on quantitative data
- By manual inspection of each data point
AI-driven algorithms enhance data quality checks by automating the process, identifying anomalies, and ensuring consistency in data quality. Automation improves efficiency and accuracy in identifying issues.
Which cloud service model is most commonly used for ETL testing?
- Function as a Service (FaaS)
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
Platform as a Service (PaaS) is the most commonly used cloud service model for ETL testing. PaaS provides a managed environment that includes necessary tools and services for testing ETL processes without the need to manage the underlying infrastructure.
________ is a key practice in ETL testing to identify early defects in data transformation.
- Incremental Testing
- Regression Testing
- Sanity Testing
- Smoke Testing
Sanity testing in ETL is a practice that checks whether the basic functionalities of data transformation are working correctly. It helps identify early defects and ensures the stability of the ETL process.
How does Snowflake Schema in a Data Warehouse differ from Star Schema?
- It has a central fact table connected to dimension tables.
- It involves denormalized dimension tables for simplicity.
- It is not suitable for complex relationships.
- It normalizes dimension tables to eliminate redundancy.
The Snowflake Schema differs from the Star Schema as it involves normalizing dimension tables to eliminate redundancy. This results in a more normalized structure but can impact query performance.
How often should regression testing be performed in a typical ETL process?
- After every change in the ETL code
- At the end of the ETL process
- Once at the beginning of the project
- Only during the production phase
Regression testing in a typical ETL process should be performed after every change in the ETL code. This frequent testing helps catch and address potential issues early in the development cycle, ensuring system stability.
What is a key consideration when managing test data in compliance with data privacy regulations?
- Data anonymization
- Data duplication
- Data normalization
- Data synchronization
A key consideration when managing test data in compliance with data privacy regulations is data anonymization. Anonymizing data involves removing personally identifiable information (PII) or replacing it with fictitious data to protect individuals' privacy and ensure regulatory compliance.
In ETL testing, version control systems like ________ are used to track changes in test scripts.
- Git
- Mercurial
- SVN
- TFS
In ETL testing, version control systems like Git are used to track changes in test scripts. This allows teams to manage and coordinate changes efficiently, ensuring version history and traceability.