The AWS Aurora Database Administration (Short) test is designed to measure the knowledge and skills of job candidates and employees in administering and managing AWS Aurora databases, with a primary focus on configuration, maintenance, and operations. The test evaluates key areas including Aurora Cluster Architecture, Endpoints and Connections, Backup, Snapshots, and Recovery, Failover and High Availability, Scaling, and Monitoring and Performance, covering topics such as cluster architecture, parameter groups, failover mechanisms, read replica scaling, CloudWatch monitoring, security configuration, encryption, and Performance Insights. Questions are presented in Essay Composition, Multiple Choice, and Multiple Correct Answer formats, with some questions featuring individual time limits to discourage cheating and improve predictive accuracy, and one or more questions scored using artificial intelligence. To further ensure integrity and reliability of results, the test draws questions from a large pool to minimize the risk of cheating.

The specific attributes measured include:

Following completion, the test produces a Candidate Selection Report that includes an overall score and detailed scores for each attribute.

The Candidate Selection Report also provides expert interview questions that help you probe critical or low-scoring areas, along with a guide for noting your evaluation of the candidate's responses. Consistent use of an interview guide is an important part of gaining better candidate insights and making better hiring decisions.

Note that while the AWS Aurora Database Administration (Short) assessment is a useful and efficient instrument for confirming a base level of skill or knowledge about this important topic, it is not intended to pinpoint the exact level of candidate or skill. We recommend that skills tests, like this one, be used in parallel with other measurements, such as cognitive ability, job fit, and behavioral history. Each different type of test provides a valuable piece of information you can use when evaluating potential job performance.