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About the 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.

Covered skills:

  • MongoDB Basics
  • CRUD Operations
  • Query language and query operators
  • Aggregation Framework
  • MongoDB Profiler
  • Vertical scaling
  • Indexes and Performance
  • Backup and Recovery
  • Data Modeling
  • Primary MongoDB data types (strings; numbers; arrays; objects)
  • Documents and Collections
  • MongoDB Query Plan
  • Replica Sets and Sharding
  • Fault Tolerance and Deployment
  • Security in MongoDB

9 reasons why
9 reasons why

Adaface MongoDB Test is the most accurate way to shortlist MongoDB Developers

Reason #1

Tests for on-the-job skills

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
Reason #2

No trick questions

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
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 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
Reason #4

1200+ customers in 75 countries

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

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment MongoDB 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 MongoDB 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.

invite candidates
Reason #7

Detailed scorecards & benchmarks

View sample scorecard
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.

test completion rate
Reason #9

Advanced Proctoring

Learn more

About the MongoDB Assessment Test

Why you should use Pre-employment MongoDB Online Test?

The MongoDB 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:

  • MongoDB Basics - Understanding the fundamental concepts and features of MongoDB
  • Data Modeling - Designing the structure and organization of data in MongoDB
  • CRUD Operations - Performing Create, Read, Update, and Delete operations in MongoDB
  • Primary MongoDB data types - Working with strings, numbers, arrays, and objects in MongoDB
  • Query language and query operators - Constructing and executing queries using MongoDB's query language and operators
  • Documents and Collections - Managing and manipulating documents and collections in MongoDB
  • Aggregation Framework - Using MongoDB's aggregation framework to perform data analysis and aggregation
  • MongoDB Query Plan - Understanding and optimizing query execution plans in MongoDB
  • MongoDB Profiler - Monitoring and analyzing the performance of MongoDB queries and operations
  • Replica Sets and Sharding - Configuring and managing replica sets and sharding in MongoDB

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 MongoDB Online Test?

  • 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.

  • 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 MongoDB Test to be based on.

    Advantages of MongoDB
    Data modeling
    CRUD operations
    Query language
    Query operators
    Aggregation Framework
    Query Plans
    MongoDB Profiler
    Replica Sets
    Vertical scaling
    Fault tolerance

What roles can I use the MongoDB Online Test for?

  • MongoDB Developer
  • Senior MongoDB Developer
  • Database Engineer (MongoDB)
  • MongoDB Administrator
  • Senior MongoDB Administrator
  • Database Administrator (MongoDB)

How is the MongoDB Online 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

  • Vertical scaling - Scaling a MongoDB deployment vertically by increasing server resources
  • Fault Tolerance and Deployment - Implementing fault-tolerant MongoDB deployments and managing multi-node clusters
  • Indexes and Performance - Optimizing query performance using indexes in MongoDB
  • Security in MongoDB - Implementing security measures such as authentication and authorization in MongoDB
  • Backup and Recovery - Performing backup and recovery operations to protect MongoDB data
  • Concurrency Control - Managing concurrent access to MongoDB data and resolving conflicts
  • Scalability - Designing and implementing scalable MongoDB architectures
  • Schema Design - Designing efficient and effective document schemas in MongoDB
  • Data Partitioning - Partitioning data across multiple MongoDB instances for improved performance
  • Monitoring and Performance Tuning - Monitoring MongoDB performance and optimizing the database for better throughput
  • Data Encryption - Enabling encryption at rest and in transit to secure MongoDB data
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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.

reduction in screening time

MongoDB Hiring Test FAQs

Can I evaluate SQL and MongoDB skills in the same test?

Yes. You can evaluate both MongoDB and SQL skills in the same test. You can review our standard SQL test to get a sense of what questions will be used.

Can I evaluate coding skills in the same test?

Yes. We customize the test according to your job description. If the role requires programming skills, then the test will have coding questions to evaluate hands-on coding skills.

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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40 min tests.
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