The AWS Aurora Database Administration assessment is designed to measure candidates' and employees' knowledge of AWS Aurora database administration concepts, tools, techniques, syntax, and common usage. The test evaluates a broad range of skills across 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 configuration, parameter groups, failover mechanisms, read replica management, CloudWatch monitoring, Performance Insights, security settings, encryption, and Global Databases.

The assessment uses a variety of question formats, including Multiple Choice, Multiple Correct Answer, and Essay Composition questions, with questions drawn from a large pool to help prevent cheating. To further ensure integrity and improve predictive accuracy, one or more questions are individually timed, and artificial intelligence is used to assist in scoring one or more responses.

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 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.