In a scenario where cloud ETL processes handle sensitive data, what strategies should be employed to maintain data privacy and security?
- Data Archiving, Data Purging, Data Snapshotting, Data Staging
- Data Compression, Data Obfuscation, Data Replication, Data Minimization
- Data Duplication, Data Fragmentation, Data Redundancy, Data Shuffling
- Multi-Factor Authentication, Data Encryption, Access Controls, Data Masking
To maintain data privacy and security in cloud ETL processes handling sensitive data, strategies like multi-factor authentication, data encryption, access controls, and data masking should be employed. These measures help safeguard sensitive information from unauthorized access and potential breaches.
Regression testing in ETL is critical when ________ are made to the data transformation logic.
- Additions
- Changes
- Enhancements
- Errors
Regression testing in ETL is crucial when changes are made to the data transformation logic. It helps ensure that existing functionalities remain intact while implementing new logic.
During the test requirement analysis of a large-scale ETL project involving big data technologies, what unique considerations should be taken into account?
- Data distribution across nodes, Scalability, Fault tolerance, Hadoop ecosystem tools
- Data encryption algorithms, User access controls, Data partitioning, Schema design
- Data profiling, Metadata management, Data lineage tracking, Database indexing
- Relational database design, Stored procedures, Data normalization, Data consistency
Large-scale ETL projects with big data technologies require unique considerations, including data distribution across nodes, scalability, fault tolerance, and familiarity with the Hadoop ecosystem tools. Understanding these aspects is crucial for effective testing and optimization.
________ loading is used when the data needs to be available as soon as it is captured.
- Batch
- Incremental
- Parallel
- Real-time
Real-time loading is used when the data needs to be available as soon as it is captured. This approach ensures that the most current data is accessible in the target system in near real-time.
When optimizing an ETL process, what is the impact of using parallel processing?
- Causes data corruption
- Decreases data throughput
- Increases data processing speed
- Slows down data loading
Using parallel processing in ETL optimization increases data processing speed. This approach involves dividing tasks into parallel threads, allowing for concurrent execution and faster completion of data transformation and loading processes.
________ regression testing is essential for ETL processes that handle time-sensitive data.
- Complete
- Incremental
- Iterative
- Selective
Incremental regression testing is essential for ETL processes that handle time-sensitive data. This approach allows testing of only the components affected by recent changes, ensuring efficiency without compromising quality.
What is the primary role of BI tools in the context of data integration?
- Data Analysis
- Data Extraction
- Data Integration
- Data Storage
The primary role of Business Intelligence (BI) tools in data integration is to facilitate the merging and combining of data from various sources. They enable users to integrate, transform, and analyze data for better decision-making.
In the context of BI integration, what does OLAP stand for?
- Offline Logical Analysis Protocol
- Online Analytical Processing
- Operational Load and Analysis Platform
- Overlapping Logistical Assessment Process
In the context of BI integration, OLAP stands for Online Analytical Processing. OLAP allows users to interactively analyze and navigate multidimensional data, providing a dynamic and efficient way to explore data for decision-making purposes.
What is the primary goal of data governance compliance in an organization?
- Ensuring data accuracy and completeness
- Establishing and enforcing policies for data management
- Improving data processing speed
- Managing data security
The primary goal of data governance compliance is to establish and enforce policies for data management. It ensures that data is handled consistently, securely, and in alignment with organizational policies and regulations.
The integration of ETL testing with ________ platforms is expected to rise, addressing the need for more dynamic data handling.
- Cloud
- IoT
- Mainframe
- Mobile
The integration of ETL testing with Cloud platforms is expected to rise. Cloud integration allows for scalable and flexible data handling, addressing the growing need for dynamic data processing in modern systems.