A cost-based query optimizer evaluates different ways to execute a query and chooses the one with the lowest estimated cost. It considers factors such as available indexes, table sizes, and statistical information to estimate the cost of various execution plans. By selecting the plan with the lowest estimated cost, it aims to improve query performance.

Encryption is commonly assessed during compliance testing to ensure data confidentiality. Encryption involves converting sensitive data into a secure format that can only be accessed with the appropriate decryption key. By encrypting data at rest and in transit, organizations can protect against unauthorized access and maintain compliance with regulatory requirements related to data privacy and confidentiality. Compliance testing evaluates the implementation of encryption mechanisms, such as encryption algorithms, key management practices, and data encryption policies, to ensure adequate protection of sensitive information.

Authorization ensures that only authorized users can access specific data within a database. Authentication verifies the identity of users before granting access rights.

When a previously passing test script fails unexpectedly, verifying recent changes in the application code or database schema is crucial. Any modifications or updates could have introduced errors or inconsistencies, leading to the failure. By reviewing the changes, developers and testers can pinpoint potential causes and take corrective actions promptly. This ensures the stability and reliability of the test scripts and the overall application.

Intermittent test failures in database scripts could result from data dependencies or conflicts arising from concurrent test executions. When multiple tests manipulate the same data simultaneously, it can lead to inconsistent outcomes, causing intermittent failures. To troubleshoot this issue, identifying and resolving data dependencies, ensuring proper synchronization between test steps and transactions, and implementing mechanisms to manage concurrent access to shared data are essential steps. This ensures test scripts execute reliably and produce consistent results.

Handling large data sets in a database often poses the challenge of scalability, where traditional database systems struggle to efficiently manage and process vast amounts of data. Scalability refers to the ability of a system to handle increasing amounts of workload or data without compromising performance or responsiveness.

Monitoring and profiling tools assist in database capacity planning by tracking resource usage and predicting future requirements. These tools monitor various aspects such as CPU utilization, memory usage, disk I/O, and network traffic to understand the current workload on the database server. By analyzing historical data and trends, database administrators can forecast future resource requirements and plan for capacity upgrades or optimizations to ensure optimal performance and scalability of the database system.

Indexing improves database query performance by speeding up data retrieval. It works by creating an optimized data structure that allows the database management system to locate rows more efficiently based on the indexed columns. This helps reduce the time required to execute queries, especially for large datasets, resulting in faster response times for users.

Implementing covering indexes ensures that all required columns for a query are included in the index itself, eliminating the need to access the actual table data for retrieval. This approach enhances query performance without affecting data insertion speed.

Authorization testing verifies that only authorized users have access to the database. It involves validating user credentials, permissions, and roles to prevent unauthorized access.