What is the primary objective of data consistency testing in a database?
- Checking that data is accurate and reliable
- Ensuring that data is accessible to authorized users
- Ensuring that data is stored securely
- Verifying that data remains unchanged over time
Data consistency testing in a database primarily focuses on ensuring that the data stored remains accurate and reliable. This involves verifying that there are no discrepancies or errors in the data, thus maintaining its integrity and trustworthiness.
Which technique is used to compare data between the source and target systems in ETL testing?
- Data masking
- Data profiling
- Metadata comparison
- Row counts comparison
Row counts comparison is a common technique in ETL testing to compare data between source and target systems by simply comparing the number of rows in each.
What is the purpose of testing for data consistency in database tables?
- To confirm data relationships are maintained
- To ensure data is stored securely
- To validate data is consistently formatted
- To verify data is accurately represented
The purpose of testing for data consistency in database tables is to validate that data is consistently formatted according to predefined rules and standards. This includes checking for proper data types, lengths, formats, and constraints. Ensuring data consistency helps maintain data integrity and reliability within the database.
The performance of a critical SQL query in your application is degrading under heavy loads. What steps can you take to optimize this query for better performance?
- Adding more database replicas
- Increasing database server memory
- Indexing relevant columns
- Optimizing network bandwidth
Indexing relevant columns in the database tables can significantly improve the performance of SQL queries, especially those involving frequent data retrieval operations. By creating indexes on columns frequently used in search conditions or join operations, the database engine can locate and retrieve data more efficiently, resulting in faster query execution times.
During the database testing process, test cases are designed to validate the ____________ of the database.
- Data integrity
- Network connectivity
- Scalability
- User interface
In database testing, ensuring data integrity is crucial. This involves verifying that data is accurate, consistent, and secure within the database. Test cases are specifically designed to validate data integrity by checking for things like constraints, relationships, and correctness of data storage and retrieval mechanisms.
In stress testing, the objective is to identify the system's ____________ point.
- Breaking
- Limit
- Threshold
- Weakness
Stress testing aims to determine the system's limit or breaking point, where it fails to handle additional load or stress. Identifying this point helps in understanding the system's capacity and potential vulnerabilities.
The process of converting encrypted data back into its original form using a decryption key is known as ____________.
- Encryption
- Decryption
- Hashing
- Compression
Decryption is the process of converting encrypted data back into its original form using a decryption key. Options 1, 3, and 4 represent different processes in data security but do not accurately describe the process of decrypting encrypted data.
Test ____________ is a critical component of test documentation that outlines the objectives, scope, and resources required for testing.
- Case
- Plan
- Scenario
- Strategy
Test Plan details what will be tested, how it will be tested, and who will be involved in testing, ensuring organized testing efforts.
How does database testing contribute to ensuring data accuracy and reliability in applications?
- By enhancing user interface design
- By identifying data inconsistencies and errors
- By improving network connectivity
- By optimizing application performance
Database testing helps ensure data accuracy and reliability by identifying data inconsistencies and errors within the database. This involves verifying that the data stored in the database matches the expected values and conforms to predefined rules and constraints. By detecting and rectifying any discrepancies, database testing helps maintain the integrity of the data, thereby enhancing the overall reliability of the application.
What is the purpose of using JOIN clauses in SQL queries?
- To combine data from multiple tables
- To filter data based on a condition
- To perform calculations on numeric data
- To sort data in ascending order
JOIN clauses in SQL queries are used to combine data from multiple tables based on a related column. This allows querying data from multiple tables simultaneously, enabling complex data retrieval operations. Using JOINs, you can access related data from different tables, facilitating efficient data analysis and retrieval.