Free MongoDB C100DEV Exam Questions
Absolute Free C100DEV Exam Practice for Comprehensive Preparation
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MongoDB C100DEV Exam Questions
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Provided By: MongoDB
- Exam: MongoDB Certified Developer Associate
- Certification: MongoDB Certified Developer Associate
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Total Questions: 411
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Updated On: Sep 03, 2026
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Rated: 4.9 |
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Online Users: 822
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Question 1
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In your database there is a collection named trips with the following document structure:{'_id': ObjectId("572bb8222b288919b68abf6d"),'trip_duration': 858,'start_station id': 532,'end_station_id': 401,'bike_id': 17057,'start_station_loc': { type: 'Point', coordinates: [ -73.960876, 40.710451 ] },'end_station_loc': { type: 'Point', coordinates: [ -73.98997825, 40.72019576 ] },'start_time': ISODate("2016-01-01T00:09:31.000Z"),'stop_time': ISODate("2016-01-01T00:23:49.000Z")}How can you extract all trips from this collection ended at stations that are to the west of the -73.5 longitude coordinate?
Answer: C
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Question 2
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In the context of MongoDB development, you are creating a new service that is expected to handle high load. You've decided to leverage the MongoDB drivers' connection pooling capability. What best describes connection pooling and its advantages?
Answer: C
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In the context of MongoDB development, you are creating a new service that is expected to handle high load. You've decided to leverage the MongoDB drivers' connection pooling capability. What best describes connection pooling and its advantages?
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Question 3
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We have the following indexes:{ name: 1, founded_year: 1 }{ tag_list: 1, is_active: 1 }And the following documents:{_id: ObjectId("52cdef7c4bab8bd675297daa"),name: "Sparter",founded_year: 2007,tag_list: ["gaming", "game", "wow"],is_active: true},{_id: ObjectId("52cdef7c4bab8bd675297da3"),name: "Yahoo!",founded_year: 1994,tag_list: ["search", "webmail"],is_active: true}Select the true statement.
Answer: B
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Question 4
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Consider a collection named orders with the following documents:{"_id" : ObjectId("5f0a7e80d8c9c7b5a48c49e1"),"order_id" : 101,"customer_name" : "John Doe","order_date" : ISODate("2022-01-01T00:00:00.000Z"),"items" : [{"product_name" : "Apple","quantity" : 2,"price" : 0.99},{"product_name" : "Banana","quantity" : 5,"price" : 0.5}]}{"_id" : ObjectId("5f0a7e80d8c9c7b5a48c49e2"),"order_id" : 102,"customer_name" : "Jane Doe","order_date" : ISODate("2022-01-02T00:00:00.000Z"),"items" : [{"product_name" : "Orange","quantity" : 3,"price" : 0.79},{"product_name" : "Mango","quantity" : 2,"price" : 1.99}]}{"_id" : ObjectId("5f0a7e80d8c9c7b5a48c49e3"),"order_id" : 103,"customer_name" : "Bob Smith","order_date" : ISODate("2022-01-03T00:00:00.000Z"),"items" : [{"product_name" : "Peach","quantity" : 4,"price" : 1.49},{"product_name" : "Pear","quantity" : 1,"price" : 2.99}]}What is the query to retrieve the total sales for each customer in the orders collection?
Answer: B
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Question 5
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You are developing a MongoDB application where write performance is a critical requirement. Given a scenario where your application primarily performs insert operations and rarely performs updates or deletes, which of the following MongoDB features would best optimize this heavy-write workload?
Answer: D
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You are developing a MongoDB application where write performance is a critical requirement. Given a scenario where your application primarily performs insert operations and rarely performs updates or deletes, which of the following MongoDB features would best optimize this heavy-write workload?