200+ Free MongoDB Associate Developer Practice Questions

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Question 1

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Which statement best describes a MongoDB document?

A JSON-like record of field-value pairs stored in BSON

A fixed-width row that must match every other row in the table

A background process that manages database replication

An index-only structure that cannot contain nested data

to track

2026 Statistics

Key Facts: MongoDB Associate Developer Exam

Official Questions

MongoDB

75 min

Time Limit

MongoDB

$150

Exam Fee

MongoDB

Online

Proctored Format

MongoDB

50% off

Learning Path Discount

MongoDB

Blueprint Domains

Study guide derived

As of March 11, 2026, MongoDB's official Associate Developer exam page lists 53 questions, a 75-minute limit, online-proctored delivery, and a $150 fee, with a 50% discount available after completing a MongoDB learning path. MongoDB's public FAQ says passing criteria vary by exam and that passing scores are not shared publicly. The six weighted sections below are guide-derived weights that are consistently mirrored by candidate materials and align with MongoDB's own guidance that the exam study guide contains domain weightings.

Sample MongoDB Associate Developer Practice Questions

Try these sample questions to test your MongoDB Associate Developer exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 200+ question experience with AI tutoring.

1Which statement best describes a MongoDB document?

A.A JSON-like record of field-value pairs stored in BSON

B.A fixed-width row that must match every other row in the table

C.A background process that manages database replication

D.An index-only structure that cannot contain nested data

Explanation: Documents are the core data unit in MongoDB and store related information as field-value pairs. They can contain nested objects and arrays, and MongoDB persists them in BSON rather than plain text JSON.

2What is true about BSON compared with plain JSON?

A.BSON supports additional types such as Date and ObjectId

B.BSON can store only strings and numbers

C.BSON cannot represent nested arrays

D.BSON must be converted into SQL tables before storage

Explanation: BSON extends the JSON model with data types that databases commonly need, including dates, ObjectIds, and binary data. That lets MongoDB preserve type information instead of forcing everything into strings or generic numbers.

3In MongoDB, what is a collection?

A.A group of documents stored within a database

B.A set of indexes shared by every database on the server

C.A backup archive created by mongodump

D.A client-side cache of query results

Explanation: A collection is the container that holds documents inside a MongoDB database. It is similar to a table conceptually, but documents in the same collection can vary in structure.

4A team stores product documents where only some documents include a `seasonalDiscount` field. What does this illustrate?

A.Collections require every document to have identical fields

B.MongoDB supports a flexible schema within a collection

C.Documents with missing fields are automatically rejected

D.Optional fields can exist only in capped collections

Explanation: MongoDB collections can contain documents that share a general shape without requiring every field to appear in every document. That flexibility is useful when optional attributes apply only to part of the dataset.

5Which method inserts exactly one new document into a collection?

A.insertOne()

B.findOne()

C.replaceOne()

D.aggregate()

Explanation: The `insertOne()` method is designed specifically to add a single document to a collection. If you need to add multiple documents in one call, you would use `insertMany()` instead.

6What does setting `ordered: false` on `insertMany()` allow MongoDB to do?

A.Reject the whole batch before checking any document

B.Continue attempting later inserts even if one insert fails

C.Automatically sort the documents by `_id` before inserting

D.Convert the insert operation into an upsert

Explanation: With unordered inserts, MongoDB can keep processing the remaining documents after an error such as a duplicate key. That is useful when partial success is acceptable and you do not want one failure to stop the entire batch.

7What happens if you insert a document without specifying an `_id` value?

A.MongoDB automatically generates an `_id`, typically an ObjectId

B.The insert fails because `_id` is always required in the client payload

C.MongoDB stores the document with `_id` set to `null`

D.MongoDB adds `_id` only when a unique index already exists

Explanation: Every document in a collection must have a unique `_id` field. If you do not provide one, MongoDB creates it automatically, commonly using an ObjectId value.

8What does the filter `{ status: "open", qty: { $lt: 30 } }` match?

A.Documents where `status` is `open` and `qty` is less than 30

B.Documents where either `status` is `open` or `qty` is less than 30

C.Only documents where `qty` equals exactly 30

D.All documents that contain either field

Explanation: Multiple top-level conditions in a filter are combined with an implicit logical AND. A document must satisfy both the equality condition and the comparison condition to match.

9What does the projection `{ item: 1, status: 1, _id: 0 }` return?

A.All fields except `_id`

B.Only the `item` and `status` fields, excluding `_id`

C.Only the `_id` field plus `item`

D.All fields because projections cannot exclude `_id`

Explanation: A projection with inclusion values of `1` returns only the named fields, and `_id` can be explicitly excluded with `0`. This is a common way to reduce the amount of data returned to the client.

10Which filter matches documents where `dept` is either `sales` or `support`?

A.{ dept: ["sales", "support"] }

B.{ dept: { $all: ["sales", "support"] } }

C.{ dept: { $in: ["sales", "support"] } }

D.{ dept: { $eqAny: ["sales", "support"] } }

Explanation: The `$in` operator matches when a field equals any value in the provided list. It is useful for concise OR-style matching on the same field.

About the MongoDB Associate Developer Exam

MongoDB's associate developer certification tests practical developer knowledge of the document model, CRUD and aggregation behavior, index selection, schema design tradeoffs, core shell and import/export tooling, and application-driver workflows. The exam rewards candidates who can reason about how MongoDB behaves in realistic coding and query scenarios instead of just recalling isolated commands.

Assessment

53 online-proctored questions

Time Limit

75 minutes

Passing Score

MongoDB does not publish a fixed passing score

Exam Fee

$150 USD (MongoDB University)

MongoDB Associate Developer Exam Content Outline

MongoDB Overview and the Document Model

Review document-oriented database concepts, BSON types, database and collection structure, and when MongoDB's document model fits application development well.

51%

CRUD

Master inserts, filters, projections, updates, deletes, array operators, aggregation pipeline behavior, and result-shaping patterns such as sort, skip, and limit.

17%

Indexes

Choose appropriate index types, reason about compound and multikey indexes, understand covered queries and explain output, and recognize TTL, text, and geospatial fundamentals.

Data Modeling

Work through schema design tradeoffs, embedding versus referencing, workload-driven structures, and cardinality considerations.

Tools and Tooling

Know the basics of mongosh plus common data-loading and data-export workflows with MongoDB command-line tools.

18%

Drivers

Understand connection strings, driver CRUD APIs, cursor and result handling, and common error or option patterns when writing application code.

How to Pass the MongoDB Associate Developer Exam

What You Need to Know

Passing score: MongoDB does not publish a fixed passing score
Assessment: 53 online-proctored questions
Time limit: 75 minutes
Exam fee: $150 USD

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

MongoDB Associate Developer Study Tips from Top Performers

1Treat CRUD and aggregation as the center of the exam. If filter operators, update operators, array behavior, and aggregation stages are slow for you, the blueprint gets much harder.

2Practice reading queries and predicting exact results, not just memorizing syntax. MongoDB questions often turn on projection behavior, array matching, update semantics, and stage order.

3Learn indexes as a decision skill. You should be able to explain why a compound index helps one query, why another query still scans, and when multikey or covered-query behavior changes the result.

4Use real driver code in your main language while you study. Connection options, cursor handling, and CRUD method behavior are easier when you have seen them in running code.

5Do not ignore data modeling just because it is a smaller section. Embedding versus referencing decisions also support the document-model, CRUD, and indexing questions.

6Know the basics of mongosh and import or export workflows, but do not overspend time there. Tooling is a light section compared with CRUD, Drivers, and Indexes.

Frequently Asked Questions

What are the current official exam facts for MongoDB Associate Developer?

MongoDB's current public exam page lists 53 questions, a 75-minute time limit, online-proctored delivery, and a $150 fee. MongoDB also states that completing a MongoDB learning path can qualify you for a 50% discount on the exam fee.

What is the passing score for the MongoDB Associate Developer exam?

MongoDB does not publish a fixed numeric passing score for this exam. Its public certification FAQ says passing criteria vary by exam and that passing scores are not shared publicly.

Which exam domain matters most?

CRUD is the dominant section at 51% of the blueprint, so query construction, updates, deletes, aggregation, and result-shaping deserve the largest share of your study time. The next biggest sections are Drivers at 18% and Indexes at 17%.

Can I take the MongoDB Associate Developer exam online?

Yes. MongoDB's current public exam page lists the Associate Developer exam as online proctored.

Can I reschedule or cancel without penalty?

MongoDB's current public student FAQ says you can reschedule or cancel your test up to 24 hours before the scheduled test time without penalty. If you are inside that window, review the current MongoDB policy before making changes.

Are there any major 2026 exam changes I need to know about?

I did not find an official MongoDB announcement of a 2026 blueprint rewrite, fee overhaul, or public scoring-policy change for the Associate Developer exam as of March 11, 2026. The practical 2026 facts still reflected on MongoDB's public pages are the 53-question format, 75-minute time limit, $150 fee, online delivery, and learning-path discount.