What does SQL stand for in the context of database testing?

  • Scripted Query Language
  • Sequential Query Language
  • Statistical Query Language
  • Structured Query Language
SQL stands for Structured Query Language. It is a standard language for interacting with relational databases. SQL is used to perform various operations such as inserting, updating, deleting, and retrieving data from databases. In the context of database testing, understanding SQL is crucial for writing and executing queries to validate the data and ensure the integrity of the database.

Scalability testing helps identify how a system performs as the ____________ load increases.

  • Concurrent
  • Horizontal
  • Incremental
  • Vertical
Scalability testing examines how a system handles increased workload. Horizontal scaling involves adding more resources, such as servers, to distribute the load across multiple machines. Therefore, as the term "horizontal" implies expansion across a wider base, it directly relates to the system's performance with increasing loads.

Which type of testing ensures that the database schema follows the defined structure and constraints?

  • Functional testing
  • Integration testing
  • Performance testing
  • Structural testing
Structural testing, also known as schema testing, ensures that the database schema follows the defined structure and constraints. It involves validating the database objects such as tables, columns, indexes, and relationships to ensure they conform to the specifications outlined in the schema design. This testing helps identify any discrepancies or errors in the database structure.

Name at least two common database performance monitoring and profiling tools used by database administrators.

  • MongoDB Compass, SQLiteStudio
  • MySQL Workbench, pgAdmin
  • SQL Profiler, Oracle Enterprise Manager
  • SQL Server Management Studio, DBeaver
SQL Server Management Studio (SSMS) is a popular tool for managing SQL Server databases, providing features for performance monitoring, query optimization, and administration tasks. DBeaver is a versatile database management tool that supports various database platforms and offers performance profiling capabilities to monitor database performance and troubleshoot issues.

When working with large data sets, ____________ is a key consideration to ensure data consistency and accuracy.

  • Data duplication
  • Data integrity
  • Data normalization
  • Data partitioning
Data integrity ensures that data remains accurate, consistent, and reliable throughout its lifecycle. It involves maintaining the accuracy and consistency of data, preventing unauthorized access, and ensuring data reliability, which are crucial aspects in handling large data sets.

Which type of testing focuses on verifying data consistency during the "Load" phase of ETL?

  • Data completeness testing
  • Data profiling testing
  • Data reconciliation testing
  • Data transformation testing
Data reconciliation testing focuses on verifying data consistency during the "Load" phase of ETL (Extract, Transform, Load) process. It involves comparing the data loaded into the target system with the source data to ensure that all the expected data is accurately transferred without any loss, corruption, or transformation errors. This type of testing helps detect discrepancies or mismatches between the source and target data, ensuring data integrity and reliability in the ETL process.

Profiling tools capture and analyze queries to identify ____________ in query execution.

  • Anomalies
  • Bottlenecks
  • Errors
  • Trends
Profiling tools are used to capture and analyze queries to identify bottlenecks, which are areas of the system where the performance is suboptimal. Profiling helps in pinpointing these bottlenecks for further optimization and improvement.

Which of the following is NOT a challenge in database testing?

  • Data Retrieval Issues
  • Database Version Control
  • Performance Tuning
  • All of the above
The correct answer is "All of the above" because all the mentioned options are challenges in database testing. Data retrieval issues, database version control, and performance tuning are common challenges faced during testing.

Which SQL statement is most commonly exploited in SQL injection attacks?

  • DELETE
  • INSERT
  • SELECT
  • UPDATE
The DELETE statement is commonly exploited in SQL injection attacks because it allows attackers to delete data from the database, potentially causing data loss or manipulation.

Automation frameworks for database testing often support various database ____________ to accommodate different database management systems.

  • architectures
  • configurations
  • instances
  • schemas
Automation frameworks for database testing need to support various database instances to cater to different database management systems. This flexibility ensures compatibility and effectiveness across diverse environments.