Elasticsearch Test

Q: What are the main Data Analysis tests?

Key tests in the Data Analysis category include: Data Analysis Test Data Science Assessment Test Data Modeling Skills 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
Search queries
Document retrieval
Aggregations
Cluster management
Data modeling
Performance optimization
Monitoring and troubleshooting
Security
Scaling and distribution
Integration with other systems

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About the Elasticsearch Assessment Test

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

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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 15,000+ 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.

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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

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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Custom Questions

Ready-to-use Tests

Custom Tests

Custom Branding

Bulk Invites

Public Links

ATS Integrations

Multiple Question Sets

Custom API integrations

Role-based Access

Priority Support

GDPR Compliance

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Have questions about the Elasticsearch Hiring Test?

What is Online Elasticsearch Test?

The Online Elasticsearch Test is designed to assess candidates' proficiency in Elasticsearch, covering topics such as data indexing, search queries, and cluster management. It is used by recruiters to find qualified candidates for roles requiring Elasticsearch skills.

Can I combine the Online Elasticsearch Test with the Data Modeling Test?

Yes, recruiters can request a custom test combining multiple skills, including data modeling. For more details on assessing data modeling skills, check out the Data Modeling Skills Test.

What topics are evaluated in this test?

The test covers data indexing, search queries, document retrieval, aggregations, cluster management, data modeling, performance optimization, monitoring and troubleshooting, security, scaling and distribution, and integration with other systems.

How to use the Online Elasticsearch Test in my hiring process?

Use this test as a pre-screening tool at the start of your recruitment process. Share the assessment link in your job post or invite candidates via email. This helps identify skilled candidates early on.

What are the main Data Analysis tests?

Key tests in the Data Analysis category include:

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.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

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