________ testing in ETL involves ensuring that all expected data is loaded into the target system.
- Accuracy
- Completeness
- Consistency
- Reconciliation
Completeness testing in ETL ensures that all expected data is successfully loaded into the target system. This involves verifying that no data is missing during the extraction, transformation, and loading process.
Which document is most crucial for performing test requirement analysis in ETL projects?
- Data Mapping Document
- Data Warehouse Design
- Requirement Specification
- Test Plan
The most crucial document for performing test requirement analysis in ETL projects is the Requirement Specification. It provides detailed information about the project requirements, data sources, and the expected outcomes, guiding the testing process.
In the Test Execution Lifecycle, test cases are first ________ before execution.
- Automated
- Designed
- Executed
- Validated
In the Test Execution Lifecycle, test cases are first validated before execution. This phase ensures that the test cases are well-formed, follow the test design, and are ready for execution.
________ are often used in ETL for real-time data processing and streaming.
- Batch Processes
- Change Data Capture (CDC)
- Data Pipelines
- Microservices
Change Data Capture (CDC) mechanisms are often used in ETL for real-time data processing and streaming. CDC captures and tracks changes in source data, allowing ETL processes to react in near real-time.
Advanced ETL testing involves using __________ algorithms to identify subtle anomalies in data.
- Compression
- Encryption
- Machine Learning
- Statistical
Advanced ETL testing often employs Machine Learning algorithms to detect subtle anomalies in data. These algorithms can analyze patterns and variations, improving the detection of irregularities in the dataset.
What role does automation play in the Test Execution Lifecycle, particularly in regression testing?
- Automation increases the likelihood of defects
- Automation is not suitable for regression testing
- Automation prolongs the Test Execution Lifecycle
- Automation speeds up the execution of regression tests
Automation plays a crucial role in regression testing by speeding up the execution of repetitive test cases. This helps in quickly validating that new changes haven't adversely affected existing functionalities, reducing the overall Test Execution Lifecycle.
How does web scraping fit into the context of data extraction?
- It is a method for extracting data from databases using SQL queries
- It is a process of copying data manually from web pages
- It is a technique for extracting data from images and videos
- It is a technique to extract data from websites by simulating human browsing behavior
Web scraping is a technique that involves simulating human browsing behavior to extract data from websites. It automates the extraction process, allowing data to be collected from web pages efficiently.
In a healthcare application that relies on real-time data integration, what testing approach should be used to ensure data privacy and security compliance?
- Functional Testing
- Load Testing
- Security Testing
- Usability Testing
Security Testing should be employed to ensure data privacy and security compliance in a healthcare application relying on real-time data integration. This testing approach assesses the system's vulnerability to unauthorized access, data breaches, and compliance with regulations such as HIPAA. It includes tests for authentication, authorization, encryption, and access controls.
________ is a key technique in ETL to ensure data integrity and prevent unauthorized data modification.
- Change Data Capture
- Data Encryption
- Data Masking
- Data Validation
Data Masking is a key technique in ETL to ensure data integrity and prevent unauthorized data modification. It involves disguising sensitive information while maintaining the format and structure of the data.
What is the primary role of BI tools in relation to ETL processes?
- Data Analysis
- Data Extraction
- Data Loading
- Data Visualization
The primary role of BI (Business Intelligence) tools in relation to ETL processes is Data Visualization. BI tools help transform raw data into meaningful visual representations such as charts and graphs, aiding in the analysis and interpretation of data for better decision-making.