________ technology in AI/ML can predict future data trends in ETL testing.
- Advanced
- Analytical
- Machine Learning
- Predictive
Machine Learning technology in AI can predict future data trends in ETL testing. It utilizes algorithms to analyze historical data, identify patterns, and make predictions about future trends, enhancing the testing process.
In Agile ETL testing, the process of continuously refining and improving test cases is known as ________.
- Behavior Driven Development (BDD)
- Continuous Testing
- Test Case Refactoring
- Test Driven Development (TDD)
The process of continuously refining and improving test cases in Agile ETL testing is known as Test Case Refactoring. It ensures that test cases stay relevant and effective as the project evolves.
To retrieve a specific set of records, SQL uses the ________ statement with conditions.
- CONDITION
- EXTRACT
- FILTER
- SELECT
To retrieve a specific set of records in SQL, the SELECT statement is used with conditions specified in the WHERE clause. This allows filtering based on certain criteria.
In agile methodologies, the Test Execution Lifecycle is often integrated with ________ practices.
- Continuous Integration
- DevOps
- Development
- Scrum
In agile methodologies, the Test Execution Lifecycle is often integrated with Continuous Integration practices. This integration ensures that testing is an integral part of the development and delivery pipeline, promoting early and frequent testing.
What role does equivalence partitioning play in test case design?
- It focuses on testing only the boundary values of input
- It helps in dividing the input space into classes and selecting representative test cases from each class
- It involves creating test cases for every possible input value
- It is not relevant in test case design
Equivalence partitioning is a testing technique where the input space is divided into classes, and test cases are selected from each class to ensure representative coverage. This helps in efficient and effective test case design.
In Data Warehousing, ________ is a process that combines data from multiple sources into a single, integrated view.
- Aggregation
- Integration
- Segmentation
- Transformation
In Data Warehousing, the Integration process combines data from various sources to create a unified and integrated view. This step is crucial for providing a comprehensive and cohesive perspective across the organization.
What is the impact of using production data for testing in terms of data security?
- Data Exposure
- Increased Security
- Legal Consequences
- No Impact
Using production data for testing poses a significant risk of data exposure and potential legal consequences. It can violate data privacy regulations and compromise sensitive information, emphasizing the importance of using sanitized test data.
During a data migration project, you encounter numerous discrepancies in date formats. How should you handle this anomaly in the ETL process?
- Consult with stakeholders to determine the preferred date format and implement it during loading.
- Develop custom scripts to convert date formats during the transformation phase.
- Ignore the date format discrepancies as they are not critical for data migration.
- Use data profiling tools to identify and standardize date formats before transformation.
Handling date format discrepancies in a data migration project requires careful attention. Using data profiling tools helps identify variations, allowing for standardization before the transformation phase, ensuring consistency and accuracy in the loaded data.
What is the primary purpose of setting up a test environment in ETL testing?
- Evaluate performance
- Monitor network traffic
- Reduce costs
- Validate data integrity
The primary purpose of setting up a test environment in ETL testing is to validate data integrity. It allows testers to ensure that data is accurately transformed and loaded without compromising its quality.
In a scenario where the ETL process needs continuous updates and integration, how would you decide the balance between automated and manual testing?
- Base Decision on Complexity of Changes
- Prioritize Automated Testing
- Rely Solely on Manual Testing
- Use Both Automated and Manual Testing in Equal Proportions
In a scenario requiring continuous updates and integration, it's essential to strike a balance between automated and manual testing. Using both approaches in equal proportions allows for comprehensive coverage, leveraging the efficiency of automation while retaining the flexibility and insight provided by manual testing.