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.
After a major ETL update, several unexpected defects arise. What steps should be taken to ensure these are reported and addressed effectively?
- Conduct a thorough impact analysis, document defects with detailed information, and communicate with the development team for resolution
- Ignore the defects unless they cause system crashes
- Report only the defects that are easy to fix
- Wait for user feedback to identify defects
After a major update, conducting a thorough impact analysis is crucial. The testing team should document unexpected defects with detailed information and communicate effectively with the development team for resolution. This proactive approach aids in addressing issues promptly.
________ is crucial for verifying the performance and scalability of a data lake.
- Compatibility testing
- Load testing
- Security testing
- Usability testing
Load testing is crucial for verifying the performance and scalability of a data lake. It involves subjecting the system to simulated usage conditions to assess its ability to handle various loads.
Real-time data integration testing often requires ________ to handle high-volume data scenarios.
- Load Balancing
- Parallel Processing
- Replication
- Scalability
Real-time data integration testing often requires Scalability to handle high-volume data scenarios. Scalability ensures that the system can handle increased data loads efficiently, maintaining performance and responsiveness.
What is the significance of Star Schema in Data Warehousing?
- It emphasizes denormalized data for simplicity.
- It focuses on normalizing data to minimize redundancy.
- It is designed for complex relationships between multiple fact and dimension tables.
- It provides a simple structure with a central fact table connected to dimension tables.
The Star Schema in Data Warehousing is significant as it provides a simple structure with a central fact table connected to dimension tables. This design simplifies queries and enhances performance.
During peak data loads, the ETL process slows down significantly. What metrics should be analyzed to identify bottlenecks?
- CPU Utilization, Disk I/O, Memory Usage, Network Bandwidth
- Data Quality Score, Data Latency, Data Duplication Rate, Data Partitioning
- Source Data Volume, Target Data Volume, ETL Tool License Usage, Data Compression Ratio
- Source-to-Target Mapping, Data Encryption Overhead, Data Archiving Efficiency, Data Masking Performance
To identify bottlenecks during peak data loads, metrics such as CPU utilization, disk I/O, memory usage, and network bandwidth should be analyzed. These metrics help pinpoint resource constraints affecting ETL performance.
To handle complex logic, ETL processes may use a ________ transformation, which allows custom code or scripts.
- Advanced
- Complex
- Custom
- Script
In ETL processes, a "Script" transformation is employed to handle complex logic. This transformation allows the use of custom code or scripts to manipulate and transform data according to specific requirements.