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Guide for MongoDB Certified Developer Associate

Quiz MongoDB Certified Developer Associate

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Quiz

1/10
Suppose you have a sales collection with the following document structure:
{
_id: ObjectId("5bd761dcae323e45a93ccfe8"),
saleDate: ISODate("2015-03-23T21:06:49.506Z"),
items: [
{
name: 'printer paper',
tags: [ 'office', 'stationary' ],
price: Decimal128("40.01"),
quantity: 2
}
{
name: 'pens',
tags: [ 'writing', 'office', 'school', 'stationary' ],
price: Decimal128("56.12"),
quantity: 5
},
{
name: 'notepad',
tags: [ 'office', 'writing', 'school' ],
price: Decimal128("18.47"),
quantity: 2
}
],
storeLocation: 'Denver',
couponUsed: true,
purchaseMethod: 'Online'
}
Which of the following queries will return all document sales with 'printer paper' sold?
Select the answer
1 correct answer
A.
db.sales.find( { items: { $match: { name: 'printer paper' } } } )
B.
db.sales.find( { items: { $elemMatch: { name: 'printer paper' } } } )
C.
db.sales.find( { items: { elemMatch: { name: 'printer paper' } } } )

Quiz

2/10
Select true statement regarding to the MongoDB Atlas. (select 1)
Select the answer
1 correct answer
A.
MongoDB Atlas is a MongoDB service that can work with any database.
B.
MongoDB Atlas includes many tools and services specifically designed for the MongoDB database.

Quiz

3/10
In your database there is a collection named companies with the following document structure:
{
name: 'Wize',
relationships: [
{
is_past: false,
title: 'Head of Product',
person: {
first_name: 'Ethan',
last_name: 'Smith',
permalink: 'ethan-smith'
}
},
{
is_past: true,
title: 'Director, Business Development',
person: {
first_name: 'Stephanie',



last_name: 'Quay',
permalink: 'stephanie-quay'
}
},
{
is_past: true,
title: 'Sr. Engineer',
person: {
first_name: 'Stefan',
last_name: 'Antonowicz',
permalink: 'stefan-antonowicz'
}
}
]
}
Which of the following queries should you use to extract all companies that have "Co-Founder" title in
relationships field (Array)?
Select the answer
1 correct answer
A.
db.companies.find( { relationships: { $eq: { title: 'Co-Founder' } } } )
B.
db.companies.find( { relationships: { $match: { title: 'Co-Founder' } } } )
C.
db.companies.find( { relationships: { $elemMatch: { title: 'Co-Founder' } } } )

Quiz

4/10
In your database there is a movies collection with the following document structure:
{
_id: ObjectId("573a1390f29313caabcd42e8"),
genres: [ 'Short', 'Western' ],
title: 'The Great Train Robbery',
rated: 'TV-G',
year: 1903,
imdb: { rating: 7.4, votes: 9847, id: 439 },
countries: [ 'USA' ]
},
{
_id: ObjectId("573a1390f29313caabcd4323"),
genres: [ 'Short', 'Drama', 'Fantasy' ],
rated: 'UNRATED',
title: 'The Land Beyond the Sunset',
year: 1912,
imdb: { rating: 7.1, votes: 448, id: 488 },
countries: [ 'USA' ]
}
In some documents, where there is no rating information for movie, the value is set to '' (empty string).
With that in mind, which of the following queries will return the title and rating (see below) of top 3 rated
movies in this collection?
Select the answer
1 correct answer
A.
db.movies.find(
{ 'imdb.rating': { $ne: '' } },
{ _id: 0, title: 1, 'imdb.rating': 1 }
).sort( { 'imdb.rating': -1 } ).limit(3)
B.
db.movies.find(
{ 'imdb.rating': { $ne: '' } },
{ _id: 0, title: 1, 'imdb.rating': 1 }
).sort( { 'imdb.rating': 1 } ).limit(3)
C.
db.movies.find(
{},
{ _id: 0, title: 1, 'imdb.rating': 1 }
).sort( { 'imdb.rating': 1 } ).limit(3)
D.
db.movies.find(
{ 'imdb.rating': { $eq: '' } },
{ _id: 0, title: 1, 'imdb.rating': 1 }
).sort( { 'imdb.rating': -1 } ).limit(3)

Quiz

5/10
Select all true statements regarding to the _id field in MongoDB documents. (select 4)
Select the answer
4 correct answers
A.
When inserting a document, the _id value is already generated as an ObjectId type, if not directly
specified.
B.
MongoDB adds an _id field to any inserted document if it doesn't have one.
C.
We can select a non ObjectId type value for _id field when inserting a new document.
D.
The _id values must be unique for the collection.
E.
The _id can be an array data type.

Quiz

6/10
Suppose you have a companies collection in your database. Only the following documents are stored in
this collection:
{
_id: ObjectId("52cdef7c4bab8bd675297da4"),
name: 'Powerset',
category_code: 'search',
founded_year: 2006
}, www.dumpsplanet.com



{
_id: ObjectId("52cdef7c4bab8bd675297da5"),
name: 'Technorati',
category_code: 'advertising',
founded_year: 2002
},
{
_id: ObjectId("52cdef7c4bab8bd675297da7"),
name: 'AddThis',
category_code: 'advertising',
founded_year: 2004
},
{
_id: ObjectId("52cdef7c4bab8bd675297da8"),
name: 'OpenX',
category_code: 'advertising',
founded_year: 2008



},
{
_id: ObjectId("52cdef7c4bab8bd675297daa"),
name: 'Sparter',
category_code: 'games_video',
founded_year: 2007
},
{
_id: ObjectId("52cdef7c4bab8bd675297dac"),
name: 'Veoh',
category_code: 'games_video',
founded_year: 2004
},
{
_id: ObjectId("52cdef7c4bab8bd675297dae"),
name: 'Thoof',
category_code: 'web',
founded_year: 2006
}
How many documents will be deleted when executing the following query?
Select the answer
1 correct answer
A.
db.companies.deleteMany( { "category_code": "advertising" } )
B.
7
C.
0
D.
3
E.
4

Quiz

7/10
Which of the following commands can you use to exports data in BSON format from a MongoDB cluster?
Select the answer
1 correct answer
A.
mongodump
B.
mongoexport
C.
mongostore
D.
mongoimport

Quiz

8/10
Suppose you have a developers collection with only two documents:



{
_id: 1,
lname: 'Smith',
tech_stack: [ 'sql', 'git', 'python', 'django' ],
fname: 'Bob'
},
{
_id: 2,
fname: 'Michael',
lname: 'Doe',
tech_stack: [ 'git', 'python', 'sqlite', 'linux', 'flask' ]
}
Using Aggregation Framework you run the following stage:
{
$unwind: {
path: '$tech_stack'
}
}
How many documents will you have in the pipeline after the $unwind stage?
Select the answer
1 correct answer
A.
9
B.
2
C.
7
D.
5
E.
4

Quiz

9/10
Select all true statements about auto bucketing feature in Aggregation Framework. ($bucketAuto stage)
Select the answer
3 correct answers
A.
This stage distributes documents evenly across predefined number of buckets.
B.
The granularity option allows us to specify preferred bucket boundaries.
C.
The syntax for this stage is as follows:

Quiz

10/10
A collection called players contains the following documents:
[
{ _id: 1, user: 'Tom', scores: [ 23, 56, 3, 52, 62 ], bonus: 5 },
{ _id: 2, user: 'Jane', scores: [ 42, 50, 10 ], bonus: 3 }
]
You want to add additional fields to each document:



-> total_score (sum of the scores Array)
-> avg_score (average score in scores Array)
-> total_score_with_bonus (total_score + bonus)
Expected output:
[
{
_id: 1,
user: 'Tom',
scores: [ 23, 56, 3, 52, 62 ],
bonus: 5,
total_score: 196,
avg_score: 39.2,
total_score_with_bonus: 201
},
{
_id: 2,
user: 'Jane',
scores: [ 42, 50, 10 ],
bonus: 3,
total_score: 102,
avg_score: 34,
total_score_with_bonus: 105
}
]
Which query do you need to use?
Select the answer
1 correct answer
A.
db.players.aggregate([{
$addFields: {
total_score: {
$sum: '$scores'
},
avg_score: {
$avg: '$scores'
}
}
}, {
$addFields: {
total_score_with_bonus: {
$add: ['$total_score', '$bonus']
}
}
}])
B.
db.players.aggregate([{
$addFields: {
total_score: {
$sum: '$scores'
},
avg_score: {
$avg: '$scores'
},
total_score_with_bonus: {
$add: ['$total_score', '$bonus']
}
}
}])
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  • Quiz name:MongoDB Certified Developer Associate
  • Total number of questions:34
  • Number of questions for the test:50
  • Pass score:80%

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