[Oct 14, 2023] Get to the Top with C100DEV Practice Exam Questions [Q53-Q69]

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[Oct 14, 2023] Get to the Top with C100DEV Practice Exam Questions

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MongoDB C100DEV Exam is an excellent opportunity for developers to demonstrate their expertise in MongoDB technology. MongoDB Certified Developer Associate Exam certification is recognized globally and is highly valued by employers. MongoDB is a popular NoSQL database that is widely used in industries such as finance, healthcare, and e-commerce. By earning the MongoDB Certified Developer Associate Certification, developers can enhance their career prospects and become a valuable asset to any organization.

MongoDB C100DEV exam is designed for developers who have experience creating applications using MongoDB. Candidates are required to demonstrate proficiency in a variety of skills, including data modeling, schema design, indexing, and querying. C100DEV exam consists of 60 multiple-choice questions, and candidates have 90 minutes to complete it. The passing score is 75%, and those who pass receive a certificate of completion.

Q53. You have the following index in a movies collection: { “title”: 1, “imdb.rating”: -1, “imdb.votes”: -1, “type”: 1 } Can the following query use the given index for both filtering and sorting?
db.movies.find( { “title”: “James Bond”, “imdb.rating”: { “$gt”: 8} } ).sort( { “imdb.rating”: 1 } )

Yes

Yes, although this query does not use equality in the “imdb.rating” field of the index prefix, it does use the same field for sorting. https://docs.mongodb.com/manual/indexes/

Q54. Select all default configurations for mongod.

By default, mongod doesn’t enforce authentication.

By default, mongod is only bound to localhost (or 127.0.0.1).

The default port for mongod is 27017.

The default data directory for mongod is /data/db

https://docs.mongodb.com/manual/reference/configuration-options/

Q55. What can you deduce from the explain() method?
For example:
db.collection.find().explain()

All stages that the query must go through with details about the time it takes, number of documents processed and returned to the next stage in the pipeline.

All available indexes for this collection.

The index used by the chosen plan.

Whether the sort stage was performed by index or performed in memory.

https://docs.mongodb.com/manual/reference/method/cursor.explain/

Q56. Suppose you insert the following documents into companies collection: db.companies.insertMany([ {“_id”: 1, “name”: “Facebook”}, {“_id”: 1, “name”: “Twitter”}, {“_id”: 2, “name”: “Tesla”}, {“_id”: 3, “name”: “Amazon”} ], {“ordered”: false}) Select all true statements about this operation. (select 3)

Two documents will be inserted into the collection.

This insert is unordered.

Three documents will be inserted into the collection.

MongoDB will insert each document with a unique _id value into the collection.

One document will be inserted into the collection.

https://docs.mongodb.com/manual/reference/method/db.collection.insertMany/

Q57. Select all true statements regarding to $match stage in Aggregation Framework. 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’ ] }, { _id: ObjectId(“573a1390f29313caabcd446f”), genres: [ ‘Short’, ‘Drama’ ], title: ‘A Corner in Wheat’, rated: ‘G’, year: 1909, imdb: { rating: 6.6, votes: 1375, id: 832 }, countries: [ ‘USA’ ] } How can you group these documents to extract all different values for rated field?

db.movies.aggregate( { $group: ‘$rated’ } )

db.movies.aggregate( { $group: { _id: ‘$rated’ } } )

db.movies.aggregate( { $group: { _id: ‘rated’ } } )

https://docs.mongodb.com/manual/reference/method/db.collection.aggregate/

Q58. Which of the following commands will add a collection that is stored in JSON file to a MongoDB cluster?

mongodump

mongoimport

mongostore

mongoexport

https://docs.mongodb.com/database-tools/mongoimport/

Q59. Which cursor method should you use to specify the maximum number of documents returned?

cursor.map()

cursor.limit()

cursor.skip()

cursor.hint()

cursor.count()

https://docs.mongodb.com/manual/reference/method/cursor.limit/

Q60. The $sortByCount stage is equivalent to:

$text + $search + $sort

$match + $sort

$group + $sort

$count + $sort

$sort + $count

https://docs.mongodb.com/manual/reference/operator/aggregation/sortByCount/

Q61. The following capped collection is given: db.createCollection(‘latest_news’, {‘capped’: true, ‘size’: 10000, ‘max’: 3}) [ { _id: ObjectId(“61e8007c9b3067e362440a88”), title: ‘COVID records broken again as weekend brings nearly 40K new cases’ }, { _id: ObjectId(“61e800989b3067e362440a89”), title: ‘Bitcoin, Ethereum, Dogecoin Face Fresh Round Of Regulatory Scrutiny’ }, { _id: ObjectId(“61e800d19b3067e362440a8a”), title: ‘Where Six Meme Stock Investors Are Now’ } ] What the latest_news collection will look like after the following operation?

db.latest_news.insertOne({title: ‘TikTok owner ByteDance dissolves its investment arm’}) [ { _id: ObjectId(“61e800989b3067e362440a89”), title: ‘Bitcoin, Ethereum, Dogecoin Face Fresh Round Of Regulatory Scrutiny’ }, { _id: ObjectId(“61e800d19b3067e362440a8a”), title: ‘Where Six Meme Stock Investors Are Now’ }, { _id: ObjectId(“61e801439b3067e362440a8b”), title: ‘TikTok owner ByteDance dissolves its investment arm’ } ]

[ { _id: ObjectId(“61e8007c9b3067e362440a88”), title: ‘COVID records broken again as weekend brings nearly 40K new cases’ }, { _id: ObjectId(“61e800989b3067e362440a89”), title: ‘Bitcoin, Ethereum, Dogecoin Face Fresh Round Of Regulatory Scrutiny’ }, { _id: ObjectId(“61e800d19b3067e362440a8a”), title: ‘Where Six Meme Stock Investors Are Now’ }, { _id: ObjectId(“61e801439b3067e362440a8b”), title: ‘TikTok owner ByteDance dissolves its investment arm’ } ]

https://docs.mongodb.com/manual/core/capped-collections/

Q62. There is a collection named products in MongoDB database. Your coworker wants to know how many products are in this collection (number of documents in the collection).
Which query should you use? (select 2)

db.products.find().count()

db.products.total()

db.products.countDocuments()

https://docs.mongodb.com/manual/reference/method/db.collection.count/ https://docs.mongodb.com/manual/reference/method/db.collection.countDocuments/

Q63. Use case: e-learning platform Which of the following scenarios is the best candidate to use the Subset Pattern?

Our app needs to retrieve a course and its ten most recent reviews.

Our app needs to retrieve a course and information about its instructor.

A course model needs to store references to image of the course that are kept in an external location outside the database.

A course model needs to store a counter representing the number of times it was purchased.

https://www.mongodb.com/blog/post/building-with-patterns-the-subset-pattern

Q64. Suppose you have a products collection with an index: { product_category: 1 } For which of the following queries can MongoDB look at only a subset of the index entries, rather than all of the index entries?

db.products.find( { product_category: /^A./ } )

db.products.find( { product_category: /S./ } )

db.products.find( { product_category: /A./ } )

https://docs.mongodb.com/manual/reference/operator/query/regex/

Q65. Given a movies collection where each document has the following structure: { _id: ObjectId(“573a1390f29313caabcd60e4”), genres: [ ‘Short’, ‘Comedy’, ‘Drama’ ], title: ‘The Immigrant’, year: 1917, imdb: { rating: 7.8, votes: 4680, id: 8133 }, countries: [ ‘USA’ ] } Which of the following queries will find all movies that do not contain the Comedy and Romance genres?

db.movies.find( { genres: { $or: [“Comedy”, “Romance”] } } )

db.movies.find( { genres: { $in: [“Comedy”, “Romance”] } } )

db.movies.find( { genres: { $nin: [“Comedy”, “Romance”] } } )

https://docs.mongodb.com/manual/reference/operator/query/nin/

Q66. 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 } } We need to extract all movies from this collection where genres includes both ‘Crime’ and ‘Mystery’. Which query should we use?

db.movies.find( { genres: { $any: [“Crime”, “Mystery”] } } )

db.movies.find( { genres: { $all: [“Crime”, “Mystery”] } } )

db.movies.find( { genres: { $nin: [“Crime”, “Mystery”] } } )

db.movies.find( { genres: { $in: [“Crime”, “Mystery”] } } )

https://docs.mongodb.com/manual/reference/operator/query/all/

Q67. Suppose you are connected to mongod instance that is already running on port 27000 as admin user. You have to dump reviews collection from the restaurants database to BSON file. Which command should you use?

mongodump –db restaurants –collection reviews

mongodump –db reviews –collection restaurants

mongoexport –db restaurants –collection reviews

https://docs.mongodb.com/database-tools/mongodump/

Q68. Suppose you have a posts collection of documents in your social_app database.
What namespace are these documents stored in?

posts.db

db.social_app

db.posts

social_app.posts

posts.social_app

Q69. What is the best practice in using the $match operator?

The later in the pipeline, the better.

The earlier in the pipeline, the better. Not only because we will be using expression filters which reduce the number of documents to be processed, but also because we can use indexes.

It doesn’t matter when we apply $match stage.

https://docs.mongodb.com/manual/reference/operator/aggregation/match/

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