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Elasticsearch Assessment Test

This Elasticsearch test evaluates candidates on key skills such as Data Modeling, Elasticsearch SQL, Snapshot and Restore, Aggregations, Monitoring and Logging, Performance Tuning, Security, Elasticsearch Basics, Elasticsearch Query DSL, High Availability and Fault Tolerance, Mapping and Analysis, Search APIs, Index Management, Elasticsearch APIs, Scalability, Cluster Health Monitoring, Indexing and Querying, Data Ingestion, Real-world Problem Solving, Cross-Cluster Search, .Net Framework, Dynamic programming, and explaining complex Elasticsearch concepts.

Proficiency Level
Beginner-Expert
Experience
0-8 years
Duration
60 mins
Rudransh Tripathi
Unknown
Unknown
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Use Case

  • Evaluates understanding of Elasticsearch indexing, querying, and performance.
  • Assesses skills in data ingestion, management, and security practices.
  • Tests hands-on capability with Elasticsearch APIs and dynamic programming.
  • Gauges ability to explain complex Elasticsearch concepts clearly.

Skills Covered

Elasticsearch Basics
Indexing and Querying
Mapping and Analysis
Search APIs
Data Modeling
Scalability
Performance Tuning
+16 more
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About

Elasticsearch Assessment Test

This Elasticsearch test is designed to assess a candidate's proficiency in various aspects of Elasticsearch, including Data Modeling, Elasticsearch SQL, Snapshot and Restore, Aggregations, Monitoring and Logging, Performance Tuning, Security, Elasticsearch Basics, Elasticsearch Query DSL, High Availability and Fault Tolerance, Mapping and Analysis, Search APIs, Index Management, Elasticsearch APIs, Scalability, Cluster Health Monitoring, Indexing and Querying, Data Ingestion, Real-world Problem Solving, Cross-Cluster Search, .Net Framework, Dynamic programming, and explaining complex Elasticsearch concepts. It is ideal for evaluating candidates for roles such as Elasticsearch Associate Support Engineer, ensuring they have the necessary skills to handle real-world challenges and maintain efficient Elasticsearch operations.

Target Audience

This assessment is ideal for roles such as Elasticsearch Associate Support Engineer, Elasticsearch Developer, and Data Engineer, focusing on candidates who need to demonstrate their ability to manage and optimize Elasticsearch environments effectively.

Prerequisites
  • Understanding of basic Elasticsearch concepts and architecture
  • Familiarity with Elasticsearch Query DSL
  • Knowledge of data modeling and indexing in Elasticsearch
  • Experience with Elasticsearch SQL and APIs
  • Ability to perform snapshot and restore operations
  • Skills in monitoring and logging within Elasticsearch
  • Understanding of performance tuning and security best practices
  • Familiarity with .Net Framework and dynamic programming
Test Overview
Duration
60 mins
Questions
23
Passing Score
70%

Questions

Explanation of TF-IDF in Elasticsearch
Elasticsearch
Elasticsearch
Term Frequency-Inverse Document Frequency
Ranking Search Results
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Using LINQ to retrieve and aggregate data from datasets
ADO.NET
ADO.NET
Aggregating Data
Joining Tables
LINQ Syntax
Querying Multiple Collections
What this question evaluates
This question assesses the candidate's proficiency in using LINQ to retrieve and aggregate data from multiple datasets. It evaluates the candidate's understanding of LINQ syntax, querying multiple collections, joining tables, and aggregating data using group and aggregation methods.
Type:
Programming
Difficulty:
Medium
Time:
30 mins
Attempts:
100+
Success Rate:
70.01%
String Score
Array Manipulation
Array Manipulation
Problem Solving
Query Processing
Score Calculation
Segment Tree
What this question evaluates
This question assesses the candidate's skill in string manipulation, understanding of substring operations, and ability to calculate scores based on given criteria.
Type:
Programming
Difficulty:
Medium
Time:
30 mins
Attempts:
100+
Success Rate:
70.01%
Elasticsearch Configuration for Balanced Read and Write Operations
Elasticsearch
Elasticsearch
Configuration
Performance Optimization
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Elasticsearch Query DSL Usage
Elasticsearch
Elasticsearch
Query DSL
Elasticsearch APIs
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Cross-Cluster Search Configuration in Elasticsearch
Elasticsearch
Elasticsearch
Cross-Cluster Search
Configuration
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Snapshot and Restore in Elasticsearch
Elasticsearch
Elasticsearch
Snapshot and Restore
Data Management
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Cluster Health Monitoring in Elasticsearch
Elasticsearch
Elasticsearch
Cluster Health Monitoring
Data Search
Analytics
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Shard Replicas in Elasticsearch
High Availability
High Availability
Fault Tolerance
Elasticsearch
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Data Ingestion in Elasticsearch
Data Ingestion
Data Ingestion
Elasticsearch
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Elasticsearch SQL Query - Handling Case Insensitivity
Elasticsearch SQL
Elasticsearch SQL
Data Analytics
Case Insensitivity
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Elasticsearch Index Management
Elasticsearch
Elasticsearch
Index Management
Search Performance
Data Analytics
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Elasticsearch Index Templates
Elasticsearch
Elasticsearch
Monitoring
Logging
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Elasticsearch Security Practices
Security
Security
Elasticsearch
Data Analytics
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Elasticsearch Query for Exact Matches
Elasticsearch
Elasticsearch
Query DSL
Exact Match
Search
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Elasticsearch Aggregation for Average Calculation
Elasticsearch
Elasticsearch
Aggregations
Data Analytics
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Performance Tuning in Elasticsearch
Performance Tuning
Performance Tuning
Elasticsearch
Data Management
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Improving Scalability in Elasticsearch
Elasticsearch
Elasticsearch
Scalability
Search Operations
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Elasticsearch Indexes
Data Modeling
Data Modeling
Elasticsearch
Data Analytics
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Phrase Queries in Elasticsearch
Search APIs
Search APIs
Elasticsearch
Data Analytics
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Filters in Elasticsearch
Elasticsearch
Elasticsearch
Search Query
Filter
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Optimizing Elasticsearch Queries
Elasticsearch
Elasticsearch
Indexing
Querying
Optimization
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Elasticsearch Document Indexing
Elasticsearch
Elasticsearch
Indexing
Documents
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
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Candidate Experience

Interactive coding environment with real-time feedback
Clear instructions and test cases for each question
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Immediate evaluation of submissions
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Detailed explanations for correct answers
Time management tools to help pace yourself

Proctoring & Anti-Cheating

Sherlock AI Agent

Sherlock is more than just a tool, it's your AI test integrity agent. By continuously monitoring and analyzing candidate behavior in real-time, Sherlock ensures a secure and fair testing environment. Using machine learning, it detects suspicious patterns, so you can focus on reliable results while Sherlock handles test integrity.

Live Monitoring

Track behavior with real-time video and audio.

Screen Tracking

Multi-screen detection and continuous screen recording during assessment.

Pattern Analysis

Spot suspicious actions with AI-driven insights.

Access Control

Ensure secure tests with browser lockdown.
Real-time Monitoring
Video Feed
Active
Screen Activity
98%
Focus Rate
95%
Saanvi Sharma
Candidate
Passed
85%
AI Summary
Skills Performance
Score
Elasticsearch Basics
87%
Indexing and Querying
80%
Mapping and Analysis
85%
Search APIs
82%
Areas of Improvement
Review
Search APIs
Practice
Indexing and Querying
Skill Assessment
Detailed evaluation of technical skills and problem-solving abilities.
AI Analysis
Machine learning-powered insights into candidate performance patterns.
Benchmarking
Compare results against industry standards and other candidates.
Action Items
Specific recommendations for skill development and improvement.

Pricing Plans

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5 credits / mo
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Standard compliance, security and audits
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60 credits / yr
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Skill fit candidates
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Standard compliance, security and audits
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Standard support from WeCP Team
Enterprise
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"We have evaluated more than hundreds of thousands of techies using WeCP until now. The tool has been very effective in assessing strengths and weaknesses of candidates."
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Principal Product Architect, Infosys
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Hiring Manager, Yellow
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Frequently Asked Questions

How does AI proctoring work?
Our AI proctoring system, Sherlock, uses advanced machine learning algorithms to monitor candidate behavior in real-time. It analyzes video, audio, and screen activity to detect potential cheating attempts while maintaining candidate privacy.
Can I customise assessment templates?
Yes! All plans include access to our template library, and you can customize them to match your specific requirements. Professional and Enterprise plans offer additional customization options and the ability to create custom templates from scratch.
What type of reports are available?
We provide comprehensive reports including detailed skill assessments, AI-powered behavioral analysis, comparative analytics, and improvement recommendations. Reports can be customized and exported in various formats.
Is the platform suitable for remote hiring?
Absolutely! Our platform is specifically designed for remote hiring with features like secure browser lockdown, AI proctoring, and real-time monitoring. It ensures the same level of assessment integrity as in-person evaluations.
How do you ensure security of assessment data?
We implement enterprise-grade security measures including end-to-end encryption, secure data storage, and regular security audits. We comply with GDPR and other major data protection regulations.