The term "data engineer" usually refers to a data infrastructure engineer, mostly responsible for building and maintaining the software infrastructure that enables computation over large datasets. An AWS data engineer is a person who designs and implements data infrastructures and processing workflows. These data engineers are responsible for driving the collection of new data and refinement of existing data sources. AWS Data Engineering helps the engineer own the data expertise element and data quality for the pipelines. The AWS Data Engineering online test helps recruiters and hiring managers to assess a candidate’s ability to work with AWS Data Engineering technology. The assessment test is created & validated by experienced industry experts to assess & hire AWS Data engineers as per industry standards. The AWS Data Engineering skills test evaluates a candidate's practical knowledge and identifies whether the candidate is ready to be employed. This test can be taken by candidates from anywhere in the comfort of their time zone. The online AWS Data Engineering test helps screen candidates for the following:
1. Extensive knowledge of data engineering tools, technologies, and approaches.
2. Ability to absorb business problems and understand how to service required data needs.
3. Knowledge of design and operation of robust distributed systems.
4. Ability to build complex, scalable, and high quality systems.
5. Knowledge of multiple data technologies and concepts.
Our powerful reporting provides an instant result and an option to share this result with the recruiting team. One can analyze section-wise candidates' performance to gauge their strengths and weaknesses. Features like window violation and webcam proctoring help to detect cheating during the test.
The AWS Data Engineering pre-employment test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, LogicBox ( AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc. This test is designed considering EEOC guidelines and helps assess & hire diverse talent without any bias.
You're working on a data archival solution to store log data from an application. It's absolutely critical that no data is lost and it needs to be immediately accessible when it is infrequently demanded with overall costs minimized. Which storage option is the best solution?