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MongoDB Online Test

The MongoDB test uses scenario-based MCQ questions to evaluate a candidate's ability to design an effective NoSQL schema in MongoDB, perform CRUD operations, filter data efficiently, increase performance with indexes and optimize/ scale MongoDB clusters using MongoDB profiler, replica sets and sharding.

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Screen candidates with a 25 mins test

Test duration:  25 mins
Difficulty level:  Moderate
Availability:  Ready to use
  • 15 MongoDB MCQs
Covered skills:
MongoDB Basics
Data Modeling
CRUD Operations
Primary MongoDB data types (strings; numbers; arrays; objects)
Query language and query operators
Documents and Collections
Aggregation Framework
MongoDB Query Plan
MongoDB Profiler
Replica Sets and Sharding
Vertical scaling
Fault Tolerance and Deployment
Indexes and Performance
Security in MongoDB
Backup and Recovery
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Use the MongoDB Test to shortlist qualified candidates

The MongoDB Online 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:

  • Understanding the basics of MongoDB and its advantages
  • Designing efficient data models for MongoDB databases
  • Performing CRUD operations on MongoDB
  • Working with primary MongoDB data types (strings, numbers, arrays, objects)
  • Writing queries using the MongoDB query language and query operators
  • Managing documents and collections in MongoDB
  • Utilizing the Aggregation Framework in MongoDB
  • Analyzing MongoDB Query Plans for performance optimization
  • Using the MongoDB Profiler for monitoring query performance
  • Understanding the concept of Replica Sets and Sharding in MongoDB
  • Implementing vertical scaling in MongoDB
  • Ensuring fault tolerance and deployment best practices in MongoDB
  • Creating and optimizing indexes for improved performance
  • Understanding and implementing security measures in MongoDB
  • Performing backup and recovery operations in MongoDB
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Screen candidates with the highest quality 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 MongoDB Test will be non-googleable.

🧐 Question


Index key order
Consider the following indexes on "musk" collection and the written queries. Select the queries that will use an index:
A) db.musk.find( { title : "SpaceX" } )
B) db.musk.find( { _id : 22, date: ISODate("2020-01-01" } ) 
C) db.musk.find( { date: ISODate("2020-01-01"), biz : "ElonSpaceX" } )
D) db.musk.find( { contact : "111-111-1111"), info : "000-000-0000" } )


Given the following movies document in MongoDB, What will be the output of the query:


Indexing Sorting
Given the following sample document in Mongodb:

{ x: 5, y: 3, z: 2, w: 1 }
If the collection name is 'adaface' with a compound index { x: 1, y: 1, z: 1, w: 1}, which of the following queries will not use in-memory sorting?


Shard chunk
Read the following chunk and pick the correct statements that apply:
A: The shard key defined for "sessions" collection is {userId: 1, sessionId: 1}
B: All documents in chunk "test.sessions-abc-yxz" are located in shard "sh-1"
C: Documents with fields {"userId": 10, "sessionId": "AB01" } are located part of chunk "test.sessions-abc-yxz"
🧐 Question🔧 Skill


Index key order

2 mins




2 mins



Indexing Sorting

2 mins



Shard chunk

3 mins

🧐 Question🔧 Skill💪 Difficulty⌛ Time
Index key order
Medium2 mins
Medium2 mins
Indexing Sorting
Medium2 mins
Shard chunk
Medium3 mins

Test candidates on core MongoDB Hiring Test topics

MongoDB Basics: MongoDB Basics covers the fundamental concepts and features of MongoDB, including document-oriented data storage, schemaless design, and the use of BSON (Binary JSON) for data representation. This skill should be measured in the test to assess a candidate's understanding of the core concepts that form the foundation of MongoDB.

Data Modeling: Data Modeling focuses on designing the structure and organization of data in MongoDB, including entity-relationship modeling, denormalization, and schema design patterns. It's important to measure this skill to evaluate a candidate's ability to design efficient and scalable data models for MongoDB databases.

CRUD Operations: CRUD Operations refer to Create, Read, Update, and Delete operations performed on MongoDB documents. This skill should be measured to gauge a candidate's proficiency in performing basic database operations, which are essential for working with MongoDB.

Primary MongoDB data types (strings; numbers; arrays; objects): This skill covers the understanding and usage of primary data types in MongoDB, such as strings, numbers, arrays, and objects. It should be assessed to determine a candidate's familiarity with data manipulation and storage in MongoDB.

Query language and query operators: Query language and query operators encompass the syntax and operators used for querying data in MongoDB. Measuring this skill helps assess a candidate's ability to construct complex queries and leverage the full power of MongoDB's query language.

Documents and Collections: Documents and Collections are the building blocks of data storage in MongoDB. This skill measures a candidate's understanding of how documents and collections are structured, organized, and interconnected within a MongoDB database.

Aggregation Framework: Aggregation Framework deals with performing aggregation operations, such as grouping, sorting, and transforming data, in MongoDB. This skill should be measured to evaluate a candidate's proficiency in utilizing MongoDB's powerful aggregation pipeline for advanced data analysis and reporting.

MongoDB Query Plan: The MongoDB Query Plan involves the analysis and optimization of query execution plans, including the use of indexes and query plan cache. This skill should be measured to assess a candidate's ability to optimize query performance and improve overall database efficiency.

MongoDB Profiler: MongoDB Profiler is used to monitor and analyze the performance of MongoDB queries and operations. Measuring this skill helps evaluate a candidate's understanding of profiling techniques and their ability to identify and resolve performance bottlenecks.

Replica Sets and Sharding: Replica Sets and Sharding are MongoDB's mechanisms for achieving high availability and horizontal scalability. This skill measures a candidate's knowledge of how to configure, manage, and troubleshoot replica sets and sharded clusters in MongoDB.

Vertical scaling: Vertical scaling involves increasing the capacity of a single MongoDB server by adding more resources, such as CPU, memory, and storage. Measuring this skill helps assess a candidate's understanding of scaling options and their ability to optimize performance through vertical scaling.

Fault Tolerance and Deployment: Fault Tolerance and Deployment cover techniques for ensuring high availability and reliability in MongoDB deployments, including redundancy, monitoring, and disaster recovery. This skill should be measured to evaluate a candidate's ability to design and maintain fault-tolerant MongoDB infrastructures.

Indexes and Performance: Indexes and Performance focus on optimizing query performance in MongoDB through the use of indexes and proper index selection. Measuring this skill helps assess a candidate's understanding of index types, working principles, and their ability to design efficient indexing strategies.

Security in MongoDB: Security in MongoDB includes authentication, authorization, and other measures to protect data and ensure secure access to MongoDB resources. This skill should be measured to evaluate a candidate's knowledge of MongoDB's security features and their ability to implement robust security practices.

Backup and Recovery: Backup and Recovery encompasses strategies and tools for creating backups, restoring data, and recovering from failures in MongoDB. Measuring this skill helps assess a candidate's understanding of backup mechanisms, recovery processes, and their ability to ensure data integrity and availability.

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Have questions about the MongoDB Hiring Test?

How does pricing work?

You can check out our pricing plans.

Can I customize the test?

Yes, absolutely. Custom assessments are set up within 48 hours 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. You can also customize a test by uploading your own questions.

Can I combine multiple skills into one test?

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.

What roles can I use the MongoDB Test for?

Here are few roles for which we recommend this test:

  • MongoDB Developer
  • Senior MongoDB Developer
  • Database Engineer (MongoDB)
  • MongoDB Administrator
  • Senior MongoDB Administrator
  • Database Administrator (MongoDB)
Can I see a sample test, or do you have a free trial?


The free trial includes one sample technical test (Java/ JavaScript) and one sample aptitude test that you will find in your dashboard when you sign up. You can use it to review the quality of questions and the candidate experience of giving a test on Adaface.

You can preview any of the 500+ tests and see the sample questions to decide if it would be a good fit for your requirements.

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.

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.

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