Pass C100DEV Exam with Updated C100DEV Exam Dumps PDF 2023
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To become a MongoDB Certified Developer Associate, one must pass the C100DEV certification exam. C100DEV exam is designed to test a developer's knowledge and skills in working with MongoDB, including data modeling, indexing, querying, and performance tuning. C100DEV exam consists of 60 multiple-choice questions and must be completed within 90 minutes.
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.
The C100DEV certification exam is a great way for developers to demonstrate their expertise in working with MongoDB. Earning this certification can help developers stand out in a competitive job market and increase their earning potential. It is also a great way for organizations to identify and hire skilled MongoDB developers who can help them build and manage their data-driven applications.
NEW QUESTION # 125
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?
- A. db.products.find( { product_category: /^A./ } )
- B. db.products.find( { product_category: /A./ } )
- C. db.products.find( { product_category: /S./ } )
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/operator/query/regex/
NEW QUESTION # 126
Which of the following commands can you use to exports data in BSON format from a MongoDB cluster?
- A. mongoimport
- B. mongodump
- C. mongostore
- D. mongoexport
Answer: B
Explanation:
https://docs.mongodb.com/database-tools/mongodump/
NEW QUESTION # 127
Suppose you want to familiarize with a new collection and want to display a single document. Which collection method should you use in this case?
- A. db.collection.find()
- B. db.collection.explain()
- C. db.collection.getOne()
- D. db.collection.findOne()
Answer: D
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.findOne/
NEW QUESTION # 128
You have the following replica set configuration: conf = { "_id": "replset", "version": 1, "protocolVersion": 1, "members": [ { "_id": 0, "host": "192.168.120.24:27017", "priority": 2, "votes": 1 }, { "_id": 1, "host": "192.168.120.24:27018", "priority": 1, "votes": 1 }, { "_id": 2, "host": "192.168.120.24:27018", "priority": 1, "votes": 1 } ] } Select all true statements about this configuration.
- A. This configuration is correct.
- B. This configuration is incorrect. You can only specify a priority of 0 or 1.
- C. This configuration is incorrect. Replica set cannot have three members.
- D. This configuration is incorrect. Host information must be unique for each member in a replica set.
Answer: D
Explanation:
https://docs.mongodb.com/manual/replication/#replication
NEW QUESTION # 129
Select all true statements about replication in MongoDB.
- A. Replication is also used to prevent downtime in the event of a failure in a data center.
- B. It's a good practice to have replicas in different geographical regions. If one region becomes unavailable due to a major failure in a data center or the network connection to it, the applications will continue to run without downtime.
Answer: A,B
Explanation:
https://docs.mongodb.com/manual/replication/#replication
NEW QUESTION # 130
Use case: e-learning platform Which of the following scenarios is the best candidate to use the Computed Pattern?
- A. Our app needs to retrieve a course and information about its instructor.
- B. A course model needs to store references to image of the course that are kept in an external location outside the database.
- C. A course model needs to store a counter representing the number of times it was purchased.
- D. Our app needs to retrieve a course and its ten most recent reviews.
Answer: C
Explanation:
https://www.mongodb.com/blog/post/building-with-patterns-the-computed-pattern
NEW QUESTION # 131
In your database there is a collection named sales 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: 'notepad', tags: [ 'office', 'writing', 'school' ], price: Decimal128("35.29"), quantity: 2 }, { name: 'pens', tags: [ 'writing', 'school', 'stationary' ], price: Decimal128("56.12"), quantity: 5 } ], storeLocation: 'Denver', customer: { gender: 'M', age: 42, email: '[email protected]', satisfaction: 4 }, purchaseMethod: 'Online' } { _id: ObjectId("5bd761dcae323e45a93ccfe9"), saleDate: ISODate("2015-08-25T10:01:02.918Z"), items: [ { name: 'binder', tags: [ 'school', 'general', 'organization' ], price: Decimal128("28.31"), quantity: 9 }, { name: 'backpack', tags: [ 'school', 'travel', 'kids' ], price: Decimal128("83.28"), quantity: 2 } ], storeLocation: 'Seattle', customer: { gender: 'M', age: 50, email: '[email protected]', satisfaction: 5 }, couponUsed: false, purchaseMethod: 'Phone' } How can you extract all documents from this collection where the first tag in the tags field (Array) is 'office' in at least one item?
- A. db.sales.find( { 'items.tags.0': 'office' } )
- B. db.sales.find( { 'items.tags.[0]': 'office' } )
- C. db.sales.find( { 'items.tags$0': 'office' } )
Answer: A
Explanation:
https://docs.mongodb.com/manual/tutorial/query-embedded-documents/
NEW QUESTION # 132
The $sortByCount stage is equivalent to:
- A. $match + $sort
- B. $group + $sort
- C. $text + $search + $sort
- D. $sort + $count
- E. $count + $sort
Answer: B
Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/sortByCount/
NEW QUESTION # 133
Consider a one-to-one relationship observed between users and the users details. Basic information about application users is separated from detailed information. Which of the following are true about modeling this one-to-one relationship with the document model in MongoDB?
- A. We can link to a single document with detailed information in another collection.
- B. We can embed fields with detailed information as a subdocument in the users collection.
- C. We can embed fields with detailed information in the users collection.
Answer: A,B,C
Explanation:
https://docs.mongodb.com/manual/tutorial/model-embedded-one-to-one-relationships-between-documents/
NEW QUESTION # 134
Suppose you have a restaurants collection with the following document structure: { _id: ObjectId("5eb3d668b31de5d588f42931"), address: { building: '6409', coord: [ -74.00528899999999, 40.628886 ], street: '11 Avenue', zipcode: '11219' }, borough: 'Brooklyn', cuisine: 'American', grades: [ { date: ISODate("2014-07-18T00:00:00.000Z"), grade: 'A', score: 12 }, { date: ISODate("2013-07-30T00:00:00.000Z"), grade: 'A', score: 12 }, { date: ISODate("2013-02-13T00:00:00.000Z"), grade: 'A', score: 11 }, { date: ISODate("2012-08-16T00:00:00.000Z"), grade: 'A', score: 2 }, { date: ISODate("2011-08-17T00:00:00.000Z"), grade: 'A', score: 11 } ], name: 'Regina Caterers', restaurant_id: '40356649' } You have the following index: { "cuisine": 1, "borough": 1 } What will the query plan look like for the following query?
db.restaurants.find( { "cuisine": "American", "borough": { "$gt": "S" } } )
- A. SORT -> IXSCAN -> FETCH
- B. FETCH -> SORT
- C. IXSCAN -> FETCH -> SORT
- D. COLLSCAN -> SORT
Answer: C
Explanation:
https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 135
Which of the following read preference options may not result in out-of-date data?
- A. secondary
- B. primaryPreferred
- C. primary
- D. nearest
- E. secondaryPreferred
Answer: C
Explanation:
If you are using any other read preferences other than primary, data may be read from the secondary node, which may result in reading slightly outdated data. https://docs.mongodb.com/manual/replication/#replication-in-mongodb
NEW QUESTION # 136
Consider the following command: $ mongod --dbpath /data/db --logpath /data/logs --replSet REPL1 --bind_ip '127.0.0.1,192.168.168.84' -- keyFile /data/keyfile --fork Which of the following configuration files is equivalent to the specified command?
- A. storage: dbPath: "/data/db" systemLog: destination: file path: "/data/logs" net: bindIp: "127.0.0.1,192.168.168.84" security: keyFile: "/data/keyfile" processManagement: fork: true
- B. storage: dbPath: "/data/db" systemLog: destination: file path: "/data/logs" replication: replSetName: "REPL1" net: bindIp: "127.0.0.1,192.168.168.84" processManagement: fork: true
- C. storage dbPath="/data/db" systemLog destination=file path="/data/logs" replication replSetName="REPL1" net bindIp="127.0.0.1,192.168.168.84" security keyFile="/data/keyfile" processManagement fork=true
- D. storage: dbPath: "/data/db" systemLog: destination: file path: "/data/logs" replication: replSetName: "REPL1" net: bindIp: "127.0.0.1,192.168.168.84" security: keyFile: "/data/keyfile" processManagement: fork: true
Answer: D
Explanation:
https://docs.mongodb.com/manual/reference/configuration-options/
NEW QUESTION # 137
Suppose you have a movies collection with the following document structure: { _id: ObjectId("573a1390f29313caabcd60e4"), title: 'The Immigrant', fullplot: "Charlie is on his way to the USA. He wins in a card game, puts the money in Edna's bag (she and her sick mother have been robbed of everything). When he retrieves a little for himself he is accused of being a thief. Edna clears his name. Later, broke, Charlie finds a coin and goes into a restaurant." } You want to sort result set by a relevance score computed by MongoDB in text search query and extract only three documents with the highest score. Which query do you need to use?
- A. db.movies.find( { $text: { $search: 'spaceship' } }, { score: { $meta: 'textScore' } }, ).sort( { score: { $meta: 'textScore' } } )
- B. db.movies.find( {}, { score: { $meta: 'textScore' } }, ).sort( { score: { $meta: 'textScore' } } ).limit(3)
- C. db.movies.find( { $text: { $search: 'spaceship' } }, { score: { $meta: 'textScore' } }, ).sort( { score: { $meta: 'textScore' } } ).limit(3)
Answer: C
Explanation:
https://docs.mongodb.com/manual/text-search/ https://docs.mongodb.com/manual/core/index-text/
NEW QUESTION # 138
Which cursor method should you use to specify the maximum number of documents returned?
- A. cursor.map()
- B. cursor.skip()
- C. cursor.limit()
- D. cursor.count()
- E. cursor.hint()
Answer: C
Explanation:
https://docs.mongodb.com/manual/reference/method/cursor.limit/
NEW QUESTION # 139
Is MongoDB a NoSQL database?
- A. Yes
- B. No
Answer: A
Explanation:
https://www.mongodb.com/nosql-explained
NEW QUESTION # 140
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