The NoSQL Database Concepts (Short) assessment evaluates the knowledge and skills necessary for entry-level to mid-level information technology professionals to work effectively with NoSQL databases, covering core topics such as NoSQL database types and use cases, CRUD operations, data modeling, indexing and query performance, scaling through sharding and replication, and the CAP theorem and consistency trade-offs. The test measures practical skills related to selecting the appropriate NoSQL database type for a given set of requirements, applying data modeling approaches such as denormalization and embedding versus referencing, and optimizing query performance through effective indexing strategies. Questions are drawn from a large pool to minimize cheating and are presented in multiple formats, including multiple choice, multiple correct answer, and essay composition. AI-assisted scoring is used for one or more questions, and select questions are timed to further deter cheating and to enhance the predictive validity of the assessment.

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 NoSQL Database Concepts (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.