Data reconciliation testing is the type of data migration testing that ensures data consistency and accuracy after migration. It involves comparing the data in the source system with the data in the target system to verify that all records have been successfully migrated and that there are no discrepancies between them. This type of testing helps in identifying any data loss or corruption issues that may have occurred during the migration process.

Test coverage is a commonly used metric to measure the effectiveness of test execution. It indicates the proportion of the software code that has been tested by the test cases. Higher test coverage implies more thorough testing.

Database testing typically occurs during the testing phase of the software development life cycle (SDLC). During this phase, the developed software is tested to ensure that it meets the specified requirements and functions correctly. Database testing involves verifying the integrity, reliability, and performance of the database system to ensure that it meets the intended purpose and user expectations.

The correct option is "Commit." The ROLLBACK statement in SQL is used to cancel a transaction and undo any changes made since the start of the transaction. It's essential for maintaining data integrity in case of errors or other issues.

Diverse is the correct option. ETL testing can become complex when dealing with diverse data sources, including structured, semi-structured, and unstructured data, as well as complex transformations applied to the data during the ETL process. Testing must account for these variations to ensure the integrity and quality of the data.

Discretionary Access Control (DAC) is a type of access control where the owner of the resource determines who has access. The access rights are determined by the owner or administrator, hence the correct option is "Owner." Sensitivity, Security level, and Classification might relate to the data but do not directly determine access rights in DAC.

Data integrity testing ensures that the data stored and retrieved remains free from corruption. Corruption in data can lead to inaccuracies and inconsistencies, which compromise the integrity of the database.

Database query testing primarily focuses on validating the correctness of SQL queries within test scripts. This involves verifying that the SQL queries perform the intended operations accurately and return the expected results from the database. It ensures that the database interactions within the application function correctly and adhere to the specified requirements. By thoroughly testing SQL queries, testers can identify and rectify any errors or inefficiencies in database interactions, thereby improving the overall reliability and performance of the application.

The "TRY...CATCH" block in SQL is used to handle exceptions that might occur during query execution. It allows for graceful handling of errors, preventing abrupt termination of the script.

Establishing clear standards and guidelines for the usage of automation frameworks is essential to ensure their effectiveness and proper implementation. These guidelines provide a framework for consistent usage and best practices.