How do data lineage and metadata management contribute to data governance compliance?
- They automate data governance policies
- They improve data storage efficiency
- They provide transparency into data movement and changes
- They secure data from unauthorized access
Data lineage and metadata management contribute to data governance compliance by providing transparency into data movement and changes. This visibility helps ensure that data is handled in accordance with governance policies and regulations.
________ tools are often used in ETL for automated data validation and error detection.
- Data Integration
- Data Migration
- Data Profiling
- Data Quality
Data Quality tools are commonly utilized in ETL processes for automated data validation and error detection. These tools ensure that the data meets predefined quality standards and help identify and rectify any anomalies.
A company is integrating its ETL process with a new BI tool. What factors should be considered for seamless integration?
- Data Compatibility, Performance, Metadata Management, Scalability
- Data Governance, Data Backup, Cloud Integration, ETL Logging
- Data Quality, Network Latency, Data Encryption, User Interface
- Data Security, Real-time Processing, Hardware Compatibility, Data Compression
Factors such as Data Compatibility, Performance, Metadata Management, and Scalability are crucial for seamless integration between ETL processes and BI tools. Ensuring these elements align will contribute to efficient data flow and analysis.
In the context of ETL testing, what does regression testing primarily focus on?
- Checking for performance bottlenecks
- Ensuring backward compatibility
- Validating data integrity
- Verifying the new features
Regression testing in ETL focuses on ensuring backward compatibility by checking that changes or additions to the ETL system do not negatively impact existing functionalities. It helps maintain the overall integrity of the ETL process.
After test execution, what is the next step in the Test Execution Lifecycle?
- Test Closure
- Test Design
- Test Execution
- Test Planning
The next step after test execution is Test Closure. In this phase, the testing activities are formally concluded. It involves preparing test summary reports, documenting lessons learned, and obtaining approval to close the testing phase.
In complex ETL processes, ________ testing ensures the consistency of data between source and target systems.
- Data Consistency
- Integration
- Performance
- Regression
In complex ETL processes, Data Consistency testing ensures the consistency of data between source and target systems, especially when multiple transformations and manipulations are involved. It helps identify any discrepancies or data integrity issues.
In complex Data Warehousing, ________ is used to manage and store high volumes of diverse data.
- Data Integration
- Data Mining
- Data Profiling
- Hadoop
In complex Data Warehousing, Hadoop is used to manage and store high volumes of diverse data. Hadoop's distributed storage and processing capabilities make it suitable for handling large-scale and varied datasets.
Which phase in the Test Execution Lifecycle involves the actual execution of test cases?
- Test Closure
- Test Design
- Test Execution
- Test Planning
Test Execution is the phase where actual testing takes place. Test cases are executed, and the system's behavior is observed to verify if it aligns with the expected outcomes.
Future ETL testing must evolve to handle the complexities introduced by ________.
- Big Data
- Legacy Systems
- Microservices
- Real-time Data
Future ETL testing must evolve to handle the complexities introduced by Real-time Data. As organizations increasingly deal with data in real-time, ETL processes need to adapt to ensure timely and accurate data processing.
In a scenario where test cases are frequently missing defects, which part of the Test Execution Lifecycle needs enhancement?
- Test Closure
- Test Design
- Test Execution
- Test Planning
If test cases frequently miss defects, the Test Design phase needs enhancement. It involves creating test cases, and improvements in this phase can lead to better coverage and detection of defects.