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.

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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About the MongoDB Test

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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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 15,000+ questions. The actual questions on this MongoDB Test will be non-googleable.

🧐 Question
Medium Index key order Query Selection Mongodb Query Optimization	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 Mongodb Query Optimization Index Usage	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?
Hard Replication and Sharding Replication Read Preferences Failover	Solve
Consider a MongoDB setup where you have a replica set consisting of three members: Primary, Secondary, and Arbiter. A client's read preference is set to 'secondaryPreferred' to improve read performance during heavy load periods. Now, consider the following pseudo code snippet for a MongoDB script designed to insert documents into a collection 'orders': const orderDocument = { orderId: '001', customerName: 'John Doe', product: 'Laptop', status: 'shipped' }; db.orders.insert(orderDocument); const readResult = db.orders.find({}).readPref('secondaryPreferred'); console.log(readResult); Given this setup, which of the following statements is correct about the read and write operations performed? Take into account concepts like replication lag, read preference, network partitioning, and failover scenarios. A: Write to secondary in sync. B: Primary always reads first. C: Reads prefer secondary. D: Arbiters store data. E: Lag affects secondary read. F: Arbiter handles writes.
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 Query Selection Mongodb Query Optimization	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 Mongodb Query Optimization Index Usage	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?
	Hard Replication and Sharding Replication Read Preferences Failover	2 mins MongoDB	Solve
Consider a MongoDB setup where you have a replica set consisting of three members: Primary, Secondary, and Arbiter. A client's read preference is set to 'secondaryPreferred' to improve read performance during heavy load periods. Now, consider the following pseudo code snippet for a MongoDB script designed to insert documents into a collection 'orders': const orderDocument = { orderId: '001', customerName: 'John Doe', product: 'Laptop', status: 'shipped' }; db.orders.insert(orderDocument); const readResult = db.orders.find({}).readPref('secondaryPreferred'); console.log(readResult); Given this setup, which of the following statements is correct about the read and write operations performed? Take into account concepts like replication lag, read preference, network partitioning, and failover scenarios. A: Write to secondary in sync. B: Primary always reads first. C: Reads prefer secondary. D: Arbiters store data. E: Lag affects secondary read. F: Arbiter handles writes.
	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 Query Selection Mongodb Query Optimization	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 Query Optimization Index Usage	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?
	Replication and Sharding Replication Read Preferences Failover	MongoDB	Hard	2 mins	Solve
Consider a MongoDB setup where you have a replica set consisting of three members: Primary, Secondary, and Arbiter. A client's read preference is set to 'secondaryPreferred' to improve read performance during heavy load periods. Now, consider the following pseudo code snippet for a MongoDB script designed to insert documents into a collection 'orders': const orderDocument = { orderId: '001', customerName: 'John Doe', product: 'Laptop', status: 'shipped' }; db.orders.insert(orderDocument); const readResult = db.orders.find({}).readPref('secondaryPreferred'); console.log(readResult); Given this setup, which of the following statements is correct about the read and write operations performed? Take into account concepts like replication lag, read preference, network partitioning, and failover scenarios. A: Write to secondary in sync. B: Primary always reads first. C: Reads prefer secondary. D: Arbiters store data. E: Lag affects secondary read. F: Arbiter handles writes.
	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"

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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

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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Have questions about the MongoDB Hiring Test?

What is the MongoDB Test?

The MongoDB Test evaluates a candidate's skills in MongoDB, including its basics, data modeling, CRUD operations, and key features. It is used by recruiters to identify professionals proficient in MongoDB.

Can I combine the MongoDB Test with data modeling questions?

Yes, you can request a custom test that includes both MongoDB and data modeling questions. For more details, check out our Data Modeling Skills Test.

What skills are assessed in the MongoDB Test for senior roles?

The MongoDB Test for senior roles assesses skills such as vertical scaling, fault tolerance and deployment, indexes and performance optimization, MongoDB security, and backup and recovery.

How to use the MongoDB Test in my hiring process?

Use this test as a pre-screening tool early in your recruitment process. Add a link to the test in your job post or invite candidates via email to assess their MongoDB skills.

What are the main database-related tests?

We offer various database-related tests, such as:

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?

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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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