Why you should use 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

MongoDB Online Test

Q: What topics are covered in the MongoDB Online Test?

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

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

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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

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 MongoDB Test will be non-googleable.

🧐 Question
Medium Index key order	Try practice test
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" } )
Medium Unwind	Try practice test
Given the following movies document in MongoDB, What will be the output of the query:
Medium Indexing Sorting	Try practice test
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?
Medium Shard chunk	Try practice test
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
	Medium Index key order	2 mins MongoDB	Try practice test
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" } )
	Medium Unwind	2 mins MongoDB	Try practice test
Given the following movies document in MongoDB, What will be the output of the query:
	Medium Indexing Sorting	2 mins MongoDB	Try practice test
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?
	Medium Shard chunk	3 mins MongoDB	Try practice test
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	💪 Difficulty	⌛ Time
	Index key order	MongoDB	Medium	2 mins	Try practice test
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" } )
	Unwind	MongoDB	Medium	2 mins	Try practice test
Given the following movies document in MongoDB, What will be the output of the query:
	Indexing Sorting	MongoDB	Medium	2 mins	Try practice test
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	MongoDB	Medium	3 mins	Try practice test
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"

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 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.

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 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
Strings
Numbers
Arrays
Objects
Query language
Query operators
Documents
Collections
Aggregation Framework
Query Plans
MongoDB Profiler
Replica Sets
Sharding
Vertical scaling
Fault tolerance
Deployment
Indexes
Performance
Security
Backup
Recovery

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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.

85%

reduction in screening time

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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.