Why you should use Elasticsearch Test?

The Online Elasticsearch Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Data indexing and retrieval techniques Search query optimization Document retrieval and manipulation Aggregations and data analysis Cluster management and optimization Data modeling and schema design Performance optimization techniques Monitoring and troubleshooting skills Security implementation and best practices Scaling and distribution strategies

Elasticsearch Test

About the test:

The Elasticsearch Online Test uses scenario-based MCQs to evaluate candidates' ability to design and deploy Elasticsearch clusters, configure and optimize search queries, and manage data ingestion and indexing. Other key skills that the test evaluates include data modeling, mapping, aggregations, scaling, monitoring, and security.

Covered skills:

Data indexing
Document retrieval
Cluster management
Performance optimization
Security
Integration with other systems

Search queries
Aggregations
Data modeling
Monitoring and troubleshooting
Scaling and distribution

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9 reasons why

Adaface Elasticsearch Assessment Test is the most accurate way to shortlist Elasticsearch Developers

Reason #1

Tests for on-the-job skills

The Elasticsearch Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Efficiently index and search data
Retrieve documents efficiently
Perform aggregations on data
Manage and monitor Elasticsearch clusters
Design and implement data models
Optimize performance of Elasticsearch
Troubleshoot and resolve issues
Implement security measures
Handle scaling and distribution
Integrate Elasticsearch with other systems

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Online Elasticsearch Test will be non-googleable.

🧐 Question
Easy Healthcare System Data Integrity Normalization Referential Integrity	Solve
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
Hard ER Diagram and minimum tables ER Diagram	Solve
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
Medium Normalization Process Normalization Database Design Anomaly Elimination	Solve
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
Medium University Courses ER Diagrams Complex Relationships Integrity Constraints	Solve
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.

	🧐 Question	🔧 Skill
	Easy Healthcare System Data Integrity Normalization Referential Integrity	2 mins Data Modeling	Solve
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
	Hard ER Diagram and minimum tables ER Diagram	2 mins Data Modeling	Solve
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
	Medium Normalization Process Normalization Database Design Anomaly Elimination	3 mins Data Modeling	Solve
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
	Medium University Courses ER Diagrams Complex Relationships Integrity Constraints	2 mins Data Modeling	Solve
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Healthcare System Data Integrity Normalization Referential Integrity	Data Modeling	Easy	2 mins	Solve
You are designing a data model for a healthcare system with the following requirements: A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients. B: A separate table for each entity with foreign keys as specified, without additional tables. C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription. D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients. E: A single table combining Patient, Doctor, Appointment, and Prescription into one. F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.
	ER Diagram and minimum tables ER Diagram	Data Modeling	Hard	2 mins	Solve
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
	Normalization Process Normalization Database Design Anomaly Elimination	Data Modeling	Medium	3 mins	Solve
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes: - VisitID - PatientID - PatientName - DoctorID - DoctorName - VisitDate - Diagnosis - Treatment - TreatmentCost In this table: - Each VisitID uniquely identifies a patient's visit and is associated with one PatientID. - PatientID is associated with exactly one PatientName. - Each DoctorID is associated with a unique DoctorName. - TreatmentCost is a fixed cost based on the Treatment. Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization? A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables. B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost). C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table. D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute. E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details. F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.
	University Courses ER Diagrams Complex Relationships Integrity Constraints	Data Modeling	Medium	2 mins	Solve
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details? A: A Student can major in multiple Departments. B: An Instructor can belong to multiple Departments. C: A Course can be offered by multiple Departments. D: Enrollment records can link a Student to multiple Courses in a single semester. E: Each Course must be associated with an Enrollment record. F: A Department can offer courses without having any instructors.

Reason #4

1200+ customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Online Elasticsearch Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Online Elasticsearch Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

Learn more

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About the Elasticsearch Online Test

Why you should use Pre-employment Elasticsearch Test?

The Online Elasticsearch Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Data indexing and retrieval techniques
Search query optimization
Document retrieval and manipulation
Aggregations and data analysis
Cluster management and optimization
Data modeling and schema design
Performance optimization techniques
Monitoring and troubleshooting skills
Security implementation and best practices
Scaling and distribution strategies

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Elasticsearch Test?

Data Indexing
Data indexing in Elasticsearch refers to the process of organizing and optimizing data for efficient searching and retrieval. It involves creating an inverted index that maps terms to their corresponding documents, allowing fast search queries based on keywords or phrases.
Search Queries
In Elasticsearch, search queries are used to retrieve specific documents that match certain criteria. This skill measures the ability to construct complex search queries, including wildcard searches, range queries, full-text searches, and Boolean queries.
Document Retrieval
Document retrieval in Elasticsearch involves efficiently fetching and presenting individual documents or sets of documents stored in the index. This skill showcases the ability to retrieve data based on various criteria, such as document ID, field values, or relevance score.
Aggregations
Aggregations in Elasticsearch allow the computation of summary statistics and insights from indexed data. This skill involves utilizing aggregation functions to create reports, statistical analysis, data visualizations, and faceted navigation.
Cluster Management
Cluster management in Elasticsearch involves the administration and coordination of multiple nodes to handle data distribution, fault tolerance, and scalability. This skill measures the proficiency in tasks like node configuration, index management, shard allocation, and monitoring cluster health.
Data Modeling
Data modeling in Elasticsearch refers to designing the structure and organization of data to optimize search and retrieval performance. This skill assesses the ability to analyze business requirements and create effective mappings, including defining field types, analyzers, and relevance scoring.
Performance Optimization
Performance optimization in Elasticsearch involves tuning various configuration parameters, query optimizations, and indexing strategies to enhance the search and retrieval speed. This skill measures the ability to identify bottlenecks, apply caching techniques, and optimize resource allocation for better system performance.
Monitoring and Troubleshooting
Monitoring and troubleshooting skills in Elasticsearch are essential for identifying and resolving issues related to search queries, data indexing, cluster health, and overall system performance. This skill includes monitoring tools, analyzing logs, and diagnosing errors for efficient problem-solving.
Security
Elasticsearch security focuses on protecting the cluster and its data from unauthorized access, data breaches, and other security threats. This skill evaluates the knowledge of implementing authentication, authorization, encryption, and securing network communication in Elasticsearch.
Scaling and Distribution
Scaling and distribution skills in Elasticsearch involve managing data growth, horizontal scaling of the cluster, and distributing data across multiple nodes for high availability and fault tolerance. This skill measures the ability to configure and manage shards, replica shards, and handle data rebalancing.
Integration with Other Systems
Integration skills in Elasticsearch involve connecting and interoperating with different systems and tools like database systems, messaging queues, APIs, and visualization tools. This skill assesses the ability to synchronize data, perform bi-directional data transfers, and utilize Elasticsearch for diverse use cases within an ecosystem.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Online Elasticsearch Test to be based on.
Data indexing
Search queries
Document retrieval
Aggregations
Cluster management
Data modeling
Performance optimization
Monitoring and troubleshooting
Security
Scaling and distribution
Integration with other systems
Mappings
Queries
Filters
Full-text search
Sorting and pagination
Faceted search
Data CRUD operations
Bulk operations
Mapping types
Routing and sharding
Cluster health and management
Index settings and management
Document level security
Role-based access control
Tokenization and analysis
Schema design and denormalization
Scoring and relevance
Query performance tuning
Index and search optimization
Troubleshooting index and query issues
Backup and restore
Capacity planning
Monitoring cluster performance
Query profiling and analysis
Data replication and distribution
Handling large datasets
Load balancing
Multi-node cluster setup
Elasticsearch and Logstash integration
Elasticsearch and Kibana integration
Elasticsearch and Beats integration
Elasticsearch and Apache Kafka integration
Elasticsearch and SQL integration
Elasticsearch and Hadoop integration
Elasticsearch and Spark integration
Elasticsearch and Docker integration
Real-time data streaming
Machine learning with Elasticsearch
Time-based data indexing
Index lifecycle management
Data archival strategies
Cross-cluster search
Geo-spatial search

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What roles can I use the Elasticsearch Test for?

Elasticsearch Developer
Elasticsearch Specialist
Elasticsearch SME
Elasticsearch Expert

How is the Elasticsearch Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Integration with other systems and APIs
Advanced search query optimization
Complex data modeling and denormalization
Advanced cluster management and optimization
High-performance indexing techniques
Advanced monitoring and troubleshooting skills
Advanced security implementation and risk assessment
Advanced scaling and distribution strategies
Real-time data processing and analysis
Experience with Elasticsearch plugins and extensions
Implementing machine learning algorithms for data analysis

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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

85%

reduction in screening time

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Elasticsearch Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

Non-googleable questions
IP proctoring
Screen proctoring
Web proctoring
Webcam proctoring
Plagiarism detection
Secure browser
Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.