Free MongoDB C100DEV Exam Questions

Become MongoDB Certified with updated C100DEV exam questions and correct answers

Page:    1 / 83      
Total 411 Questions | Updated On: Dec 18, 2025
Add To Cart
Question 1

Which of the following constraints might impact your data model for MongoDB? (Select three)


Answer: B,C,E
Question 2

You are managing a MongoDB collection named orders, where each document represents an order. The documents contain the following fields:order_id (String): The unique identifier for the order.customer_name (String): The name of the customer who placed the order.total_amount (Number): The total amount of the order.status (String): The status of the order, which can be "pending," "shipped," or "delivered."items (Array of Strings): A list of items included in the order.You want to find all orders that meet the following criteria:The order has a total amount greater than $1000.The order status is either "pending" or "shipped."The order contains either "laptop" or "smartphone" in the list of items.Which of the following queries would return the correct documents?


Answer: D
Question 3

We have a movies collection with the following document structure:
{
  _id: ObjectId("573a1390f29313caabcd6223"),
  genres: [ 'Comedy', 'Drama', 'Family' ],
  title: 'The Poor Little Rich Girl',
  released: ISODate("1917-03-05T00:00:00.000Z"),
  year: 1917,
  imdb: { rating: 6.9, votes: 884, id: 8443 }
},
{
  _id: ObjectId("573a13e3f29313caabdc08a4"),
  genres: [ 'Horror', 'Thriller' ],
  title: 'Mary Loss of Soul',
  year: 2014,
  imdb: { rating: '', votes: '', id: 2904798 }
}
We need to use Aggregation Framework to calculate the following aggregates:
average imdb rating
minimum imdb rating
maximum imdb rating
Expected output:
[
    {
        _id: null,
        avg_rating: 6.6934040649367255,
        min_rating: 1.6,
        max_rating: 9.6
    }
]
Please note that some documents have "" (empty string) for the field "imdb.rating". Exclude these documents before aggregation.
Which pipeline should you use?


Answer: C
Question 4

Suppose you have a restaurants collection with the following document structure:

{

  _id: ObjectId("5eb3d668b31de5d588f42931"),

  address: {

    building: '6409',

    coord: [ -74.00528899999999, 40.628886 ],

    street: '11 Avenue',

    zipcode: '11219'

  },

  borough: 'Brooklyn',

  cuisine: 'American',

  grades: [

    {

      date: ISODate("2014-07-18T00:00:00.000Z"),

      grade: 'A',

      score: 12

    },

    {

      date: ISODate("2013-07-30T00:00:00.000Z"),

      grade: 'A',

      score: 12

    },

    {

      date: ISODate("2013-02-13T00:00:00.000Z"),

      grade: 'A',

      score: 11

    },

    { date: ISODate("2012-08-16T00:00:00.000Z"), 

      grade: 'A', 

      score: 2 },

    {

      date: ISODate("2011-08-17T00:00:00.000Z"),

      grade: 'A',

      score: 11

    }

  ],

  name: 'Regina Caterers',

  restaurant_id: '40356649'

}

You don't have any indexes so far. What will the query plan look like for the following query?

db.restaurants.find( { "cuisine": "American" } )


Answer: D
Question 5

Where is the MongoDB configuration file usually located?


Answer: B
Page:    1 / 83      
Total 411 Questions | Updated On: Dec 18, 2025
Add To Cart

© Copyrights DumpsCertify 2025. All Rights Reserved

We use cookies to ensure your best experience. So we hope you are happy to receive all cookies on the DumpsCertify.