In data integrity testing, what does "ACID" stand for?
- Advanced Cache Isolation Design
- All Constraints In Database
- Atomicity, Consistency, Isolation, Durability
- Automated Consistency In Data
ACID stands for Atomicity, Consistency, Isolation, and Durability, which are the four properties ensuring the reliability of transactions in a database system.
Scenario: During a CI/CD pipeline execution, a database migration script fails due to a conflict with an existing schema. How can this issue be prevented in future CI/CD runs?
- Conduct manual schema validation before running migration scripts
- Implement a version control system for database schema changes
- Perform automated database backups before migration
- Use a database migration tool that supports schema comparison
To prevent conflicts with existing schemas during CI/CD pipeline executions, it's essential to use a database migration tool that supports schema comparison, enabling the tool to identify and resolve any conflicts before applying migration scripts.
Which type of data integrity constraint ensures that a foreign key in one table corresponds to a primary key in another table?
- Data consistency constraint
- Data validation constraint
- Entity integrity constraint
- Referential integrity constraint
Referential integrity constraint ensures that values in one column (or a group of columns) in one table correspond to values in another table's column(s) with a primary key constraint.
Which aspect of a distributed system is assessed during scalability testing?
- Consistency
- Performance
- Reliability
- Scalability
Scalability testing evaluates the system's ability to handle increased workload or concurrent users efficiently without compromising performance. It focuses on assessing the system's scalability, which refers to its ability to accommodate growing amounts of work or users by adding resources or scaling horizontally. Scalability testing helps ensure that the distributed system can maintain its performance levels as the workload increases.
In data consistency testing, the presence of ____________ can indicate data integrity issues.
- Correlations
- Discrepancies
- Duplicates
- Inconsistencies
The presence of inconsistencies in data during consistency testing may indicate potential data integrity issues, where the data is not uniform or accurate as expected.
When conducting stress testing, what is the goal when increasing the load on the system?
- Assess system performance under typical loads
- Determine the system's maximum capacity
- Evaluate system response time
- Identify performance bottlenecks
The goal of stress testing is to determine the system's breaking point by increasing the load until it reaches its maximum capacity, helping to identify potential weaknesses.
Which security vulnerability involves an attacker injecting malicious SQL code into input fields?
- Clickjacking
- Cross-Site Request Forgery (CSRF)
- Cross-Site Scripting (XSS)
- SQL Injection
SQL Injection is a security vulnerability where an attacker injects malicious SQL code into input fields of a web application, exploiting vulnerabilities in the database layer. This allows the attacker to execute unauthorized SQL commands, manipulate data, and potentially compromise the entire database system. Proper input validation and parameterized queries can mitigate the risk of SQL injection attacks.
Load testing often includes measuring the system's ____________ and response times.
- Capacity
- Latency
- Performance
- Throughput
Load testing involves assessing the system's performance metrics, such as throughput and response times. These measurements provide insights into how efficiently the system processes requests under different load conditions.
In CI/CD, the process of automatically deploying database changes to multiple environments is referred to as database ____________.
- Deployment
- Integration
- Migration
- Versioning
Database deployment in CI/CD refers to the automated process of pushing database changes across various environments, ensuring consistency and reliability in the deployment pipeline.
Which type of testing tool helps generate realistic and representative data for database testing?
- Database management tools
- Performance testing tools
- Test automation tools
- Test data generation tools
Test data generation tools are specifically designed to create realistic and representative data sets for database testing. These tools help in simulating various scenarios and conditions, leading to more comprehensive testing of the database.