Home C100DEV [Mar-2024] C100DEV Dumps are Available for Instant Access using DumpsReview [Q117-Q140]

[Mar-2024] C100DEV Dumps are Available for Instant Access using DumpsReview [Q117-Q140]

C100DEV By · March 16, 2024 · 0 Comment
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[Mar-2024] C100DEV Dumps are Available for Instant Access using DumpsReview

C100DEV Dumps 2024 – New MongoDB C100DEV Exam Questions

Describe content sources that can be monitored by MongoDB software

MongoDB software provides a number of different tools for monitoring your deployment.

The MongoDB Management Service (MMS) is a fully-managed service that monitors MongoDB instances and applications. MMS offers the following features:

  • Automatic detection of new deployments

  • Automated failure detection and recovery

  • Monitoring and alerting for MongoDB instances and applications, including application-level metrics

Alerting on resource utilization, including CPU and memory usage, disk utilization, network throughput, latency, and more. Alerts can be sent by email or SMS message. You can also configure MMS to generate synthetic transactions against your database to generate alerts when performance degrades.

In addition to MMS, you can use third-party tools such as New Relic’s MongoDB agent or OpsDash to monitor your deployments.

How to be successful in the Developer Associate by getting MongoDB C100DEV Certified

If you want to get started with MongoDB, then you should consider getting the MongoDB Certified Developer Associate certification. As a MongoDB Certified Developer Associate, you will be able to use key data modeling skills and concepts, as well as get an understanding of how to use MongoDB effectively in your applications. Our complete package free demo can help improve your preparation for the certified professionals exam pass guarantee. If you fail the exam, we will refund your full purchase price.

The best way to be successful in the Developer Associate by getting MongoDB C100DEV Certified is by studying hard and taking practice exams.

Read these tips on how you can do that:

Study hard: The first thing you need to do is to study hard. You can’t just memorize things and expect them to come out right in the exam. You need to understand concepts and practice them until they become second nature. And don’t forget about practice exams! They are very useful when it comes to preparing for exams like these because they allow you to test yourself before going into the actual exam room.

Take practice exams: While studying is important and all, practice exams are even more important if you want to pass your exam on the first try! MongoDB C100DEV Dumps help give you a sense of what kinds of questions will appear on your exam so that when you go into the actual room, there won’t be any surprises or unexpected questions popping up!

The C100DEV exam covers a wide range of topics, including data modeling, indexing, query optimization, aggregation, and application development. It is a performance-based exam that consists of practical tasks, hands-on exercises, and multiple-choice questions. C100DEV exam is conducted online and can be taken from anywhere in the world. However, it is recommended that candidates have at least six months of experience working with MongoDB before attempting the exam.

 

NEW QUESTION 117
You are working in a team on a certain application in the gaming sector. Queries similar to the following are quite often executed by your application. db.gamers.find( { level: 10, is_active: true } ) How can you speed up the execution of similar queries? Choose the best option.

 
 
 
 
 
 
 

NEW QUESTION 118
Why is MongoDB a NoSQL database?

 
 
 

NEW QUESTION 119
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?

 
 
 

NEW QUESTION 120
Can arrays in MongoDB store values of different data types?

 
 

NEW QUESTION 121
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 the distribution of rated field?

 
 
 
 

NEW QUESTION 122
Which of the following scenarios is best suited for applying the Attribute Pattern?

 
 
 

NEW QUESTION 123
In your database a movies collection is given where each document has the following structure: { _id: ObjectId(“573a1391f29313caabcd9264”), genres: [ ‘Romance’, ‘Drama’ ], title: ‘The Divorcee’, languages: [ ‘English’, ‘French’ ], year: 1930, imdb: { rating: 6.9, votes: 1740, id: 20827 }, countries: [ ‘USA’ ] } Which of the following queries will return all movies that are in the Fantasy and Drama (both) genre?

 
 
 
 

NEW QUESTION 124
Why adding indexes may lead to slower write operations?

 
 

NEW QUESTION 125
Which of the following scenarios best suits the use of the Tree Pattern?

 
 

NEW QUESTION 126
What is the best practice in using the $match operator?

 
 
 

NEW QUESTION 127
Select all true statements about query plans in MongoDB. (select 2)

 
 
 

NEW QUESTION 128
In which of the following CRUD operations can you specify a write concern? Select all that apply.

 
 
 
 
 

NEW QUESTION 129
You have the following query: db.gamers.find( { “level”: { “$gte” : 70 }, “map”: “Inferno” } ).sort( { “points”: 1, “group”: 1 } ) Which of the following indexes best supports this query? Keep in mind the equality, sort, range rule.

 
 
 
 

NEW QUESTION 130
The greater the cardinality of a field, the…

 
 

NEW QUESTION 131
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?

 
 
 

NEW QUESTION 132
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?

 
 
 

NEW QUESTION 133
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 operator should you use to extract all sales documents that have ‘notepad’ name in items field?

 
 
 
 
 

NEW QUESTION 134
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)

 
 
 
 
 

NEW QUESTION 135
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’ ] } Which of the following queries will return only the title for the five oldest movies in this collection?

 
 
 
 

NEW QUESTION 136
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?

 
 

NEW QUESTION 137
Assign typical operational tasks to the Database Administrator.

 
 
 
 

NEW QUESTION 138
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 Comedy movies that were made in 2000? (select 2)

 
 
 
 

NEW QUESTION 139
What stages will cause a merge on the primary shard for a database?

 
 
 

NEW QUESTION 140
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?

 
 
 
 

MongoDB C100DEV Exam Practice Test Questions: https://www.dumpsreview.com/C100DEV-exam-dumps-review.html

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