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MongoDB Associate Developer Exam Questions 2025

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  • Contains 504 Questions
  • Total Mock Exams: 9
  • Taken exclusively from the previous real exams.
  • Last updated: 17-Apr-2025
  • Bonus: Free Master Cheat Sheet Included
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MongoDB Associate Developer Exam Questions 2025

  • We are offering 504 latest real MongoDB Associate Developer Exam Questions 2025 for practice, which will help you to score higher in your exam.
  • Aim for above 85% or above in our mock exams before giving the main exam. 
  • Do review wrong & right answers and thoroughly go through the explanations provided to each question which will help you understand the question.
  • Weekly updates: We have a dedicated team updating our question bank on a regular basis, based on the feedback of students on what appeared on the actual exam, as well as through external benchmarking.
  • Master Cheat Sheet was prepared by instructors which contain personal notes of them for all exam objectives. Carefully written to help you all understand the topics easily.
  • It is recommended to use the Master Cheat Sheet just before 2-3 days of the main exam to cram the exam.

A developer using MongoDB with their application must possess the knowledge and skills necessary to utilize the database effectively. This means that they must have hands-on experience completing day-to-day operational tasks needed to use MongoDB. At a minimum, it’s recommended that the candidate has:

  • Software engineering experience (any programming language)
  • Successfully completed MongoDB training (or equivalent hands-on experience using MongoDB as the backing database for an application)

Below knowledge is recommended for MongoDB Associate Developer Exam 2025:

The exam objectives and topic-level weighting are below for your reference. Use them to guide your study and to prepare for the exam.

Section 1: MONGODB OVERVIEW AND THE DOCUMENT MODEL (8%)

  • Identify the set of value types MongoDB BSON supports.
  • Given three documents that are of different shapes, identify which can co-exist in the same collection.

Section 2: CRUD (51%)

  • Given a scenario with a type of structured document that needs to be inserted into a database, identify properly and improperly formed insert commands.
  • Given an update scenario where an entire updated document (no update operators used) is provided, identify the output and how the database changed state.
  • Given an update scenario where $set is used, identify the output and how the database changed state.
  • Given a scenario about updating a document and information about where it should be inserted if it does not exist, identify the upsert command that should be used.
  • Given a scenario where multiple documents need to be updated, identify the correct update expression.
  • Given a findAndModify scenario where another operation is run concurrently, identify the output and how the database changed state.
  • Given a scenario where a document should be deleted from the database, identify the delete expression that should be used.
  • Given a scenario where a single document should be looked up by a simple equality constraint (e.g., {x: 3}), identify the expression that should be used.
  • Identify documents matched by a query with an equality constraint on an array field.
  • Identify documents matched by an expression with relational operators in it.
  • Identify documents matched by an expression with $in.
  • Identify documents matched by a $elemMatch expression.
  • Identify documents matched by an expression that has several logical operators.
  • Given a query with a sort and limit, identify the correct output.
  • Identify the incorrect projection among a set of expressions.
  • Identify how to get all results from a cursor.
  • Identify the expressions used to count the number of documents matching a query.
  • Given an indexing scenario, identify the correct command for defining a search index.
  • Given a scenario, identify the correct search query.
  • Given an aggregation expression using $match, $group, identify the correct output.
  • Given an aggregation expression using $lookup, identify the correct output.
  • Given an aggregation expression using $out, identify the correct output.

Section 3: INDEXES (17%)

  • Given a query that is performing a collection scan, identify which index would improve the performance of this query.
  • Given a query that is performing a collection scan on an equality match on an array field, identify which index would improve the performance of this query.
  • Given a query with no constraint and a sort of two fields that is doing a collection scan, identify which index would improve the performance of this query.
  • Given a collection, identify how many indexes exist for that collection.
  • Identify poor production practices.
  • Identify the explain plan outputs that signify a potential performance issue, specifically whether an index is present or not for the given query.

Section 4: DATA MODELING (4%)

  • Given a scenario with three collections (a parent and two children) and the user, identify the embedded relationships and which should be linked.
  • Identify data model examples that are considered an anti-pattern.

Section 5: TOOLS AND TOOLING (2%)

  • Given a scenario to load the Atlas Sample Dataset and then use Data Explorer to find a given first document in a collection.

Section 6: DRIVERS (18%)

  • Define what the XX driver is.
  • Define how the XX application connects/uses the XX driver.
  • Define the components of the URI string used by MongoClient to connect the driver to the database.
  • Identify what connection pooling is in terms of the driver and what advantages it offers.
  • Identify the correct syntax for the XX driver to insert one document and to insert many documents.
  • Identify the correct syntax for the XX driver to update one document and to update many documents.
  • Identify the correct syntax for the XX driver to delete one document and to delete many documents.
  • Identify the correct syntax for the XX driver to find many documents and to find one document.
  • Identify the correct syntax for the XX driver to create an aggregation pipeline.
  • Identify the different syntax for the XX driver when using the MongoDB Query Language (MQL) and when using the Aggregation Framework.

(Note: The MongoDB Associate Developer exam is offered in multiple programming languages. Although they all share a common set of core questions, Section 6 – Drivers, will be presented according to the programming language selected during registration.)

Exam Details

  • Format: 53 Multiple choice questions
  • Time allotted: 75 Minutes
  • Exam fee: USD $150
  • Delivery Options: Online in a proctored environment
  • Prerequisites: None
  • Language: English

Checkout other Mongodb Certifications here : https://skillcertpro.com/product-category/oracle-cloud/

Review exam details here on official Mongodb site : https://learn.mongodb.com/pages/mongodb-associate-developer-exam

4 reviews for MongoDB Associate Developer Exam Questions 2025

  1. Rated 4 out of 5

    Mona Dean

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  2. Rated 5 out of 5

    Tonya Powell

    Thanks to Skillcertpro’s exceptional resources and support, I walked into the exam room feeling confident and prepared. The actual exam closely resembled the practice test

  3. Rated 5 out of 5

    Jocelyn Bailey

    I think it was a good decision on my part to go with these practice tests. Getting familiar with the type of questions and the explanations of each question helped me in completing the certification in the first attempt. Definitely recommended!

  4. Rated 5 out of 5

    Leanna Rosario

    These practice exams were a great way to identify weak areas in my studies for the Mongodb associate developer exam, and the explanations provided for each question/answer helped me immensely. Passed on the first try on yesterday. Boom!

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