Which ETL process step is crucial for ensuring data integrity and quality?
- Extraction
- Loading
- Transformation
- Validation
The Validation step in the ETL process is crucial for ensuring data integrity and quality. This step involves verifying the transformed data against predefined rules and business logic to guarantee accuracy and consistency.
For large-scale projects, ________ management becomes essential in the Test Execution Lifecycle.
- Configuration
- Project
- Resource
- Test Case
For large-scale projects, Project management becomes essential in the Test Execution Lifecycle. Coordinating resources, schedules, and activities is crucial to ensuring the successful execution of testing efforts within the project timeline.
How should a testing team manage risks when integrating ETL processes with new, unfamiliar data sources?
- Perform thorough testing, including boundary and stress testing, for each new data source
- Rely on historical test data and assume similar behavior for the new data sources
- Request additional time for testing and delay the integration process
- Skip testing for unfamiliar data sources to save time
Integrating ETL processes with new, unfamiliar data sources introduces risks. The testing team should perform thorough testing, including boundary and stress testing, for each new data source to identify and mitigate potential issues, ensuring a smooth integration process.
Which tool or technology is commonly used for monitoring data governance compliance?
- Business Intelligence
- Data Governance Software
- Data Warehousing
- Metadata Management
Data governance software is commonly used for monitoring data governance compliance. These tools provide capabilities for defining policies, tracking compliance metrics, managing metadata, and enforcing data governance rules across the organization.
An ETL test reveals multiple records with the same customer ID but different address details. What steps should be taken to resolve this anomaly?
- Alert stakeholders about the inconsistency and proceed with the data load.
- Ignore the discrepancy as it might be a result of different data sources.
- Merge address details into a single field to accommodate multiple addresses for the same customer.
- Perform data deduplication to remove redundant records based on unique identifiers.
Identifying multiple records with the same customer ID but different address details indicates data duplication or inconsistency. The appropriate step is to perform data deduplication based on unique identifiers like customer ID to ensure data integrity and eliminate redundancy.
What role does test automation play in reducing risks in ETL testing?
- Decreasing manual errors
- Increasing testing time
- Reducing test coverage
- Slowing down the testing process
Test automation in ETL testing reduces risks by decreasing manual errors, ensuring consistency, and increasing test coverage. Automated tests can be executed more frequently and reliably, identifying issues early in the development process.
To optimize the ETL testing process, it is advisable to implement ________ for repetitive and complex test cases.
- Automation
- Data Profiling
- Incremental Loading
- Parallel Processing
To optimize the ETL testing process, it is advisable to implement Automation for repetitive and complex test cases. Automation allows for the efficient execution of tests, reduces manual effort, and ensures consistency in testing procedures.
To test the interaction between different parts of the software, ________ testing technique is used.
- Integration
- Regression
- System
- Unit
Integration testing is used to test the interaction between different parts of the software. It ensures that integrated components work together as expected, revealing any issues in their communication.
In load testing of an ETL process, the ________ of the system is measured to ensure it meets the requirements.
- Consistency
- Performance
- Reliability
- Scalability
The performance of an ETL system is measured during load testing to ensure it meets the specified requirements. This includes assessing factors such as response time, resource utilization, and overall efficiency under varying workloads.
In ETL testing, what advanced technique can be utilized in automated testing but not in manual testing?
- Data Masking
- Exploratory Testing
- Parallel Execution
- Script Customization
Advanced techniques like Parallel Execution can be efficiently utilized in automated ETL testing. Parallel execution allows multiple test cases to run simultaneously, improving testing speed and efficiency, which is challenging to achieve manually.
The process of ________ is critical for maintaining data accuracy and consistency in governance.
- Cleansing
- Integration
- Transformation
- Validation
The process of data cleansing is critical for maintaining data accuracy and consistency in governance. It involves identifying and correcting errors or inconsistencies in the data to ensure its reliability and quality.
How does root cause analysis benefit the defect resolution process in ETL testing?
- Automating defect resolution
- Identifying the underlying cause of defects
- Ignoring minor defects
- Prioritizing defects based on severity
Root cause analysis in ETL testing helps by identifying the underlying cause of defects. It allows teams to address the root issues, preventing similar defects in the future and improving the overall quality of the ETL process.