Prepare With Top Rated High-quality C100DEV Dumps For Success in C100DEV Exam [Q47-Q64]

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Prepare With Top Rated High-quality C100DEV Dumps For Success in C100DEV Exam

C100DEV Free Certification Exam Easy to Download PDF Format 2024

MongoDB C100DEV exam is a rigorous and comprehensive certification exam that is highly valued in the industry. Successful completion of the exam demonstrates a developer’s expertise in working with MongoDB and its many features, giving them a competitive edge in the job market. C100DEV exam covers a wide range of topics, and MongoDB offers a host of resources to help candidates prepare, including online courseware, instructor-led training, and a practice exam. With the right preparation and experience, candidates can earn their MongoDB Certified Developer Associate designation and advance their careers as MongoDB experts.

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QUESTION 47
Which of the following methods executes a database command? (mongo shell)

db.execute({ <command> })

db.ommand({ <command> })

db.runCommand({ <command> })

db.runThisCommand({ <command> })

https://docs.mongodb.com/manual/reference/method/db.runCommand/

QUESTION 48
Suppose we have a products collection with the following fields and values: _id (automatically created ObjectId) product_code (unique values for each product) color (as String values) size (this field is missing for some products) origin_country Which of these fields would be the best shard key?

size

product_code

origin_country

_id

color

With color, size, and origin_country we run the risk of low cardinality. The _id wouldn’t make a good shard key because it isn’t something meaningful we could query the database. https://docs.mongodb.com/manual/core/sharding-shard-key/

QUESTION 49
Suppose you have a mobile_games collection with the following document structure to redesign: { game: “Fishing Clash”, company: “Ten Square Games”, platforms: [‘Android’, ‘IOS’], … release_USA: ISODate(“2017-04-09T01:00:00+01:00”), release_France: ISODate(“2017-04-09T01:00:00+01:00”), release_Italy: ISODate(“2017-08-17T01:00:00+01:00”), … } Which pattern solution is best suited for this situation?

The Subset Pattern.

There is no need to redesign the document structure.

The Bucket Pattern.

The Extended Reference Pattern.

The Attribute Pattern.

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

QUESTION 50
Data modeling. You are considering the use of nesting or references in your data model. Documents can grow rapidly. Which option would be more appropriate?

Use of nesting.

Use of reference.

https://docs.mongodb.com/manual/core/data-modeling-introduction/

QUESTION 51
Which of the following actions are granted to the built-in userAdmin role?

dropRole

dropCollection

dropUser

grantRole

createRole

createUser

https://docs.mongodb.com/manual/reference/built-in-roles/#mongodb-authrole-userAdmin

QUESTION 52
Suppose you have a mobile_games collection with the following document structure:
{ game: “Fishing Clash”, company: “Ten Square Games”, platforms: [‘Android’, ‘IOS’], …
release_USA: ISODate(“2017-04-09T01:00:00+01:00”),
release_France: ISODate(“2017-04-09T01:00:00+01:00”),
release_Italy: ISODate(“2017-08-17T01:00:00+01:00”), … }
You want to redesign your document structure as below:
{ game: “Fishing Clash”, company: “Ten Square Games”, platforms: [‘Android’, ‘IOS’],
releases: [ { location: “USA”, date: ISODate(“2017-04-09T01:00:00+01:00”) },
{ location: “France”, date: ISODate(“2017-04-09T01:00:00+01:00”) },
{ location: “Italy”, date: ISODate(“2017-08-17T01:00:00+01:00”) }, ], }
Which pattern solution will you use to solve this problem?

The Schema Versioning Pattern.

The Attribute Pattern.

The Bucket Pattern.

The Subset Pattern.

The Extended Reference Pattern.

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

QUESTION 53
Which of the following roles provides minimal privileges needed for backing up data in MongoDB?

backup

restore

update

https://docs.mongodb.com/manual/reference/built-in-roles/#mongodb-authrole-backup

QUESTION 54
How to connect to mongod instance and authenticate as root?

mongoroot –authenticationDatabase admin

mongo –username root –password root123 –authenticationDatabase admin

mongo –authenticationDatabase admin

https://docs.mongodb.com/v4.4/mongo/#mongodb-instance-with-authentication

QUESTION 55
Select all true statements about the $merge stage.

$merge stage allows us to output the documents to a collection in the same or different database.

$merge stage allows us to output the documents to a sharded collection.

$merge stage must be the last in the pipeline.

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

QUESTION 56
What is a MongoDB view?

MongoDB does not support views.

A MongoDB view is a queryable object whose contents are defined by an aggregation pipeline on other collections or views.

It is a different name for collection.

https://docs.mongodb.com/manual/core/views/

QUESTION 57
Select properly used $out operator.

db.collection.aggregate([ { stage1 }, { stage2 }, …, { stageN }, { $out: “new_collection” } ])

db.collection.aggregate([ { stage1 }, { $out: “new_collection” }, { stage2 }, …, { stageN } ])

db.collection.aggregate([ { $out: “new_collection” }, { stage1 }, { stage2 }, …, { $stageN } ])

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

QUESTION 58
Suppose you have an accounts collection in your database. Only the following documents are stored in this collection: { _id: ObjectId(“61af47c6e29861661d063714”), account_id: 1010, type: ‘investment’, limit: 2000000 }, { _id: ObjectId(“61af47c6e29861661d063715”), account_id: 4336, type: ‘derivatives’, limit: 100000 }, { _id: ObjectId(“61af47c6e29861661d063716”), account_id: 4336, type: ‘commodity’, limit: 1000 }, { _id: ObjectId(“61af47c6e29861661d067825”), account_id: 7355, type: ‘commodity’, limit: 500000 }, { _id: ObjectId(“61b1bde1ceb6f770f56b0cd9”), account_id: 4915, type: ‘investment’, limit: 2000000 } How many documents will be returned in response to the following aggregation pipeline? [{ $group: { _id: “$type”, number_of_accounts: { $sum: 1 } }}, { $match: { number_of_accounts: { $gt: 1 } }}]

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

QUESTION 59
Which of the following commands can you use to exports data in BSON format from a MongoDB cluster?

mongodump

mongoexport

mongostore

mongoimport

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

QUESTION 60
Select all true statements regarding to indexes.

The _id field is not automatically indexed in collection.

Indexes are used to increase the speed of our queries.

Indexes can improve write, update, and delete performance.

Indexes reduce the number of documents that MongoDB must parse to satisfy a query.

https://docs.mongodb.com/manual/indexes/

QUESTION 61
Which of the following documents are valid JSON format? (select 2)

{_id: 1, name: “Riviera Caterer”, cuisine: “American”}

<“_id”: 1, “name”: “Riviera Caterer”, “cuisine”: “American”>

[“_id”: 1, “name”: “Riviera Caterer”, “cuisine”: “American”]

{“_id”: 1, “name”: “Riviera Caterer”, “cuisine”: “American”}

{“_id”: 1, “address”: {“street”: “Stillwell Avenue”, “zipcode”: “11224”}}

While some software may not throw an error, this is still not valid JSON because each field name should be in quotes: {_id: 1, name: “Riviera Caterer”, cuisine: “American”} Square brackets instead of curly ones: [“_id”: 1, “name”: “Riviera Caterer”, “cuisine”: “American”] The rest of the examples are self-evident. https://www.mongodb.com/json-and-bson

QUESTION 62
Suppose we have a shipwrecks collection with the following document structure: { _id: ObjectId(“578f6fa2df35c7fbdbaed8ce”), feature_type: ‘Wrecks – Visible’, watlev: ‘always dry’, coordinates: [ -79.9469681, 9.3729954 ] } You ran the command below: db.shipwrecks.getIndexes() And you got the following output: [ { v: 2, key: { _id: 1 }, name: ‘_id_’ }, { v: 2, key: { coordinates: ‘2dsphere’ }, name: ‘coordinates_2dsphere’, ‘2dsphereIndexVersion’: 3 } ] How can you remove the geospatial index on the coordinates field?

db.shipwrecks.dropCollection(‘coordinates_2dsphere’)

db.shipwrecks.dropIndex(‘coordinates_2dsphere’)

db.shipwrecks.dropIndex(‘_id_’)

https://docs.mongodb.com/manual/core/2dsphere/

QUESTION 63
There is a gamers collection in your database with the following document structure: { _id: 1, level: 15, is_active: true }, { _id: 2, level: 14, is_active: true }, { _id: 3, level: 7, is_active: false } How do you increase the value of the level field by 20 for a player with id = 3?
Expected result:
{ _id: 1, level: 15, is_active: true }, { _id: 2, level: 14, is_active: true }, { _id: 3, level: 27, is_active: false }

db.gamers.update( { _id: 3 }, { $inc: { level: 20 } } )

db.gamers.update( { _id: 3 }, { $set: { level: 20 } } )

db.gamers.update( { _id: 3 }, { $unset: { level: 20 } } )

https://docs.mongodb.com/manual/reference/operator/update/inc/

QUESTION 64
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/

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