Why you should use this Mongo Online Test

The Mongo DB Online test reduces the administrative overhead of interviewing too many candidates and saves expensive engineering time by filtering out unqualified candidates. The Adaface MongoDB Online Assessment Test screens candidates for the typical skills hiring managers look for in a MongoDB developer: MongoDB data types - Strings, Numbers, Arrays, Objects, Dates etc Designing an effective NoSQL schema with both data nesting and lookups Structuring documents (Schemas & Relations) Experience with Query, Projection and Aggregation Pipeline Operators Update operations using operators $set, $rename, $addToSet, $push, $inc etc Query operators like $in, $eq, $regex, $elemMatch etc. Aggregation stages like $match, $group, $unwind Using indexes to make your queries more efficient Modelling data in MongoDB (Embedding vs Referencing) Installing and configuring production MongoDB on the dedicated or virtual private server Using MongoDB Shell and MongoDB Compass for database management Using Drivers to connect MongoDB to applications/ servers (like Mongoose) Using mongostat and mongotop to examine a running system

MongoDB Online Test

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:

Primary MongoDB data types (strings; numbers; arrays; objects)
query language and query operators
Query data using the Aggregation Framework
Reading a MongoDB Query Plan
Horizontal scaling with Replica Sets and Sharding
Fault Tolerance and Deployment

MongoDB queries
Documents and Collections
Use indexes to make queries more efficient
Using the MongoDB Profiler
Vertical scaling

See all covered skills

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9 reasons why

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

Reason #1

Tests for on-the-job skills

The Mongo DB Online test reduces the administrative overhead of interviewing too many candidates and saves expensive engineering time by filtering out unqualified candidates.

The Adaface MongoDB Online Assessment Test screens candidates for the typical skills hiring managers look for in a MongoDB developer:

MongoDB data types - Strings, Numbers, Arrays, Objects, Dates etc
Designing an effective NoSQL schema with both data nesting and lookups
Structuring documents (Schemas & Relations)
Experience with Query, Projection and Aggregation Pipeline Operators
Update operations using operators $set, $rename, $addToSet, $push, $inc etc
Query operators like $in, $eq, $regex, $elemMatch etc.
Aggregation stages like $match, $group, $unwind
Using indexes to make your queries more efficient
Modelling data in MongoDB (Embedding vs Referencing)
Installing and configuring production MongoDB on the dedicated or virtual private server
Using MongoDB Shell and MongoDB Compass for database management
Using Drivers to connect MongoDB to applications/ servers (like Mongoose)
Using mongostat and mongotop to examine a running system

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.

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.

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	Solve
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	Solve
Given the following movies document in MongoDB, What will be the output of the query:
Medium Indexing Sorting	Solve
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	Solve
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	Solve
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	Solve
Given the following movies document in MongoDB, What will be the output of the query:
	Medium Indexing Sorting	2 mins MongoDB	Solve
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	Solve
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	Solve
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	Solve
Given the following movies document in MongoDB, What will be the output of the query:
	Indexing Sorting	MongoDB	Medium	2 mins	Solve
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	Solve
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

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.

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 & comparative results

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

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How is the test customized for Senior MongoDB developers

The questions used to evaluate Senior MongoDB developers assess advanced Mongo topics:

Understanding the difference between relational and document databases
Using different MongoDB BSON types - ObjectId, ISODate, NumberInt etc
Working with Geospatial Data
Writings tests around Mongo queries to ensure code is working as expected
Differences between record associations and resource embedding
Understanding of how MongoDB works - cursor, batch size, iterator
Profiling and performance tools for MongoDB
Creating the Mongo Superuser/Root account and managing Mongo user accounts
Manage MongoDB Ports to Maximize Resources
Encrypting MongoDB Data-in-motion and Data-at-rest
Using the serverless platform (Stitch) offered by MongoDB
Experience with MongoDB interface, Mongoose JS
Using backup and restore tools - mongoexport, mongoimport, mongodump and mongorestore

What roles can I use the MongoDB Test for?

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

What topics are covered in the MongoDB Online Test?

Installing MongoDB

Data Types

Schemas and relations

Databases

Documents

Collections

Updating operators (set, rename, addToSet, push, inc)

Update methods (updateOne, updateMany)

Aggregates ()

Query ()

Delete methods (deleteOne and deleteMany)

Operators (and, or, gt and ne)

Indexes

Aggregation framework

Geospatial data

MongoDB shell

Cloud Manager

Profiling

Performance tools

Ports

Mongoose

Horizontal scaling

Vertical scaling

Encryption

Transactions

Replica set

External drivers

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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

View Full Case Study

MongoDB Online 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.

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
Web proctoring
Webcam proctoring
Plagiarism detection
Secure browser

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.