Elasticsearch online test: Pre-employment screening assessment to hire the best candidates
Summary of the Elasticsearch test
This Elasticsearch test evaluates candidates’ technical skills using Elasticsearch and their ability to deploy, configure, and integrate with other relevant ELK stack tools. This hiring test helps to identify candidates skilled in using Elasticsearch.
Covered skills
Configuration and clustering
Indexing and mapping data
APIs and extracting details through queries
Integration with other common open-source tools
Use the Elasticsearch test to hire
Software engineers, data engineers, data analysts, ELK engineers, ELK administrators, and anyone else who uses Elasticsearch
Type
Time
Languages
Level
About the Elasticsearch test
Elasticsearch is a powerful software application for searching a single computer-stored document or a collection in a full-text database. With this technology, a search engine examines all of the words in every stored document as it tries to match search criteria. Many companies use Elasticsearch for this important business function.
This hiring test assesses candidates’ intermediate skills using Elasticsearch. This hiring test covers deployment in a single mode and in a cluster environment, configuration, index mapping, data retrieval, and data storage. This screening test also covers Elasticsearch integration with other relevant and common ELK stack tools and how Elasticsearch fits into a complete database picture.
Candidates who perform well on this test have a strong grasp of end-to-end project delivery for Elasticsearch as well as intermediate-level practical experience using the software. High-scoring candidates will be able to set up an environment and integrate Elasticsearch with other tools.
Use this screening test to find your next Elasticsearch practitioner with the technical skills necessary to represent your company’s vision and move it forward.
The test is made by a subject-matter expert
Edward T.
Edward is an IT professional and decades of experience working with data in a variety of forms. Edward particularly excels in data engineering, cleaning, analysis and visualization across multiple industries, including the financial and security sectors. Edward is an expert with the ELK stack, and he enjoys working with Elasticsearch for diverse clients across the world. In his spare time, Edward enjoys playing football and learning about new technologies.
Crafted with expert knowledge
TestGorilla’s tests are created by subject matter experts. We assess potential subject-matter experts based on their knowledge, ability, and reputation. Before being published, each test is peer-reviewed by another expert, then calibrated using hundreds of test takers with relevant experience in the subject. Our feedback mechanisms and unique algorithms allow our subject-matter experts to constantly improve their tests.
What our customers are saying
TestGorilla helps me to assess engineers rapidly. Creating assessments for different positions is easy due to pre-existing templates. You can create an assessment in less than 2 minutes. The interface is intuitive and it’s easy to visualize results per assessment.
David Felipe C.
VP of Engineering, Mid-Market (51-1000 emp.)
Any tool can have functions—bells and whistles. Not every tool comes armed with staff passionate about making the user experience positive.
The TestGorilla team only offers useful insights to user challenges, they engage in conversation.
For instance, I recently asked a question about a Python test I intended to implement. Instead of receiving “oh, that test would work perfectly for your solution,” or, “at this time we’re thinking about implementing a solution that may or may not…” I received a direct and straightforward answer with additional thoughts to help shape the solution.
I hope that TestGorilla realizes the value proposition in their work is not only the platform but the type of support that’s provided.
For a bit of context—I am a diversity recruiter trying to create a platform that removes bias from the hiring process and encourages the discovery of new and unseen talent.
David B.
Chief Talent Connector, Small-Business (50 or fewer emp.)
Use TestGorilla to hire the best faster, easier and bias-free
Our screening tests identify the best candidates and make your hiring decisions faster, easier, and bias-free.
Watch what TestGorilla can do for you
Create high-quality assessments, fast
Building assessments is a breeze with TestGorilla. Get started with these simple steps.
View a sample report
The Elasticsearch test will be included in a PDF report along with the other tests from your assessment. You can easily download and share this report with colleagues and candidates.
What is an online Elasticsearch test? How will it help you?
An online Elasticsearch test is a pre-employment skills assessment that will help you evaluate your candidates on the necessary skills to operate the Elasticsearch software successfully.
Elasticsearch software is a part of ELK stack tools, with ELK standing for three different open software programs: Elasticsearch, Logstash, and Kibana, which fall under the umbrella of ETL (extract, transfer, and load) tools. A professional Elasticsearch operator needs to use the software expertly to stand out as a top candidate for your open role.
However, finding a candidate well-versed in the software program isn’t easy. Today’s market is complicated, and competitors quickly snatch up the best talent. So companies have to adjust and change their approach when hiring the best talent. But certain obstacles prevent businesses from making that transition, and these problems need to be addressed:
Limited candidate pool: Even if you’re receiving more applications per position than ever, the quality of those applications isn’t necessarily the greatest. Many candidates now use the “shotgun” approach, sending their CVs everywhere in the hope that something sticks. This means the hiring manager has to sift through hundreds of CVs just to find a handful of promising candidates.
Inherent bias: When hiring managers to select candidates to progress in the hiring process, can never be certain if those candidates are genuinely suitable or if they’re the product of the hiring manager’s unconscious bias.
CV dependence: Many of these problems happen because companies are overreliant on resumes. Hiring managers essentially assess the candidates’ CV writing skills rather than their concrete skills.
The most effective way to change this is to start implementing pre-employment tests.
What will you be evaluating with the Elasticsearch test?
The Elasticsearch test will help you improve your entire hiring process. Not only will it lower your dependence on CVs, but it will eliminate bias and ensure that you find the best candidates from your talent pool.
The Elasticsearch test takes 10 minutes to complete, and it’s aimed at candidates with an intermediate level of knowledge and skills in Elasticsearch. It enables you to evaluate both the theoretical and practical skills of your candidates.
The Elasticsearch test will assess the following skills:
• Configuration and clustering• Indexing and mapping data• APIs and extracting details through queries• Integration with other common open-source tools
The higher the score the candidates attain, the better their Elasticsearch skills and expertise. A candidate that scored the best on the test will know how to configure data in Elasticsearch, index and map data, and integrate the data with other tools that are used in the workplace.
This pre-employment test is essential if you’re looking to hire candidates for any of the following roles: Software engineers, data engineers, data analysts, ELK engineers, ELK administrators, and any other role that might require knowledge of Elasticsearch.
The Elasticsearch test will give you the data to make an informed hiring decision. But that’s not the only thing that will be improved once you start implementing pre-employment tests in your hiring process.
Use this Elasticsearch test for skills-based hiring
When you use the Elasticsearch pre-employment test, you will solve many problems in your hiring process:
Hundreds of applications: A hiring manager that doesn’t use pre-employment tests will get swamped with hundreds of CVs. But if your hiring manager uses pre-employment tests, all of that will be history. The way that pre-employment tests work is that the hiring manager sends the tests to all of the candidates that applied for the role. They don’t look at their CV; instead, they send them the tests and then wait for the results of the tests. The hiring manager sends the tests with a single click to all of the candidates so it makes no difference how many people apply for the open role since the hiring manager spends the same amount of time on them.
No more bias: One more benefit of using pre-employment tests in your hiring process is that you eliminate bias from the hiring process. All of the candidates get the opportunity to show their skills by doing the test. All of them do the same test and they do so in the same allotted time. If you use TestGorilla’s pre-employment tests, your hiring manager will have an easier time assessing the candidates since they will receive the test results as numerical. That way, the hiring manager will be able to compare candidates with ease.
End reliance on resumes: CV screening is slowly starting to become an outdated process in recruitment. With pre-employment tests, you don’t have to do CV screening at all because you give the candidates the test and wait for the results. This way, you’re assessing the skills the candidates will actually use in the workplace instead of evaluating their CV writing skills.
TestGorilla’s helped more than 6,000 companies implement pre-employment tests in their hiring process and that’s you should pick us. Don’t leave your hiring process to chance; choose TestGorilla and hire the best talent.
FAQs
Related tests
Zoho CRM
Data Analytics in Google Cloud Platform (GCP)
Microsoft Access
Working with Generative AI
Snowflake
Microsoft Project
Data Analytics in Amazon Web Services (AWS)
NetSuite Administration
Microsoft Visio
NGINX
