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MongoDB C100DEV Exam covers topics
Basic JavaScript programming
Fundamentals of system programming
Fundamental database concepts
Fundamentals of software development
MongoDB C100DEV Certification Exam is a valuable credential for developers who want to showcase their expertise in MongoDB. MongoDB Certified Developer Associate Exam certification exam is recognized by top companies and organizations worldwide, and it can help developers get better job opportunities and higher salaries. MongoDB Certified Developer Associate Exam certification also provides access to MongoDB's community of certified developers, where developers can network, share knowledge, and learn from each other.
NEW QUESTION # 110
Select true statements about shard keys.
- A. Shard keys can include the _id field, but they don't have to.
- B. Shard keys are used to organize documents into chunks and shards, and mongos can use this to route queries.
- C. All shard keys must be supported by an index with the same document fields.
Answer: A,B,C
Explanation:
https://docs.mongodb.com/manual/core/sharding-shard-key/
NEW QUESTION # 111
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' ] } This time we are using the Aggregation Framework to search our database. Which of the following queries will find all movies with a rating greater than 8?
- A. db.movies.aggregate([ { $match: { imdb.rating: { $gt: 8 } } } ])
- B. db.movies.aggregate([ { $match: { "imdb.rating": { $gte: 8 } } } ])
- C. db.movies.aggregate([ { $match: { "imdb.rating": { $gt: 8 } } } ])
Answer: C
Explanation:
db.movies.aggregate([ { $match: { imdb.rating: { $gt: 8 } } } ]) This is incorrect because we need to use quotes in this case. db.movies.aggregate([ { $match: { "imdb.rating": { $gte: 8 } } } ]) This is incorrect because $gte also checks for equality. https://docs.mongodb.com/manual/reference/method/db.collection.aggregate/
NEW QUESTION # 112
Let's consider a replica set of 3 nodes that experiences a network outage. Select true statement.
- A. When two nodes go down in a three-node replica set, the third node becomes a primary.
- B. When two nodes go down in a three-node replica set, the third node becomes a secondary regardless of whether it started as a primary.
Answer: B
Explanation:
https://docs.mongodb.com/manual/replication/#replication
NEW QUESTION # 113
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?
- A. Use of reference.
- B. Use of nesting.
Answer: A
Explanation:
https://docs.mongodb.com/manual/core/data-modeling-introduction/
NEW QUESTION # 114
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?
- A. 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' } ]
- B. [ { _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' } ]
- C. [ { _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' } ]
Answer: A
Explanation:
https://docs.mongodb.com/manual/core/capped-collections/
NEW QUESTION # 115
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": { "$lt": "M" } } ).sort( { "imdb.votes": -1 } )
- A. No
- B. Yes
Answer: A
Explanation:
No, this query does not use equality in the index prefix. When you use an index to filter and sort, the query must contain equality conditions on all prefix keys that precede the sort keys. Also, it skipped the next key in the "imdb.rating" prefix in the sort predicate. https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 116
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?
- A. 0
- B. 1
- C. 2
- D. 3
- E. 4
Answer: E
Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/unwind/
NEW QUESTION # 117
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( { "imdb.rating": 8, "title": "James Bond" } ).sort( { "imdb.votes": -1 } )
- A. No
- B. Yes
Answer: B
Explanation:
Yes, this query can use the index prefix. The order of the fields in the query predicate does not matter. Since both "imdb.rating" and "title" are part of an index prefix, this query can use the index for an equality condition. https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 118
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?
- A. db.movies.find( { 'imdb.rating': { $ne: '' } }, { _id: 0, title: 1, 'imdb.rating': 1 } ).sort( { 'imdb.rating': -1 } ).limit(3)
- B. db.movies.find( {}, { _id: 0, title: 1, 'imdb.rating': 1 } ).sort( { 'imdb.rating': 1 } ).limit(3)
- C. db.movies.find( { 'imdb.rating': { $ne: '' } }, { _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)
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/method/cursor.sort/
NEW QUESTION # 119
You have the following configuration file: storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled You have to update this file such that: * mongod sends logs to /var/mongodb/logs/mongod.log * mongod is forked and run as a daemon Select correct Answer.
- A. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled systemLog: destination: file path: "/var/mongodb/logs/mongod.log"
- B. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled processManagement: fork: true
- C. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled systemLog: destination: file path: "/var/mongodb/logs/mongod.log" processManagement: fork: true
Answer: C
Explanation:
https://docs.mongodb.com/manual/reference/configuration-options/
NEW QUESTION # 120
Which cursor method should you use to specify the maximum number of documents returned?
- A. cursor.hint()
- B. cursor.limit()
- C. cursor.skip()
- D. cursor.count()
- E. cursor.map()
Answer: B
Explanation:
https://docs.mongodb.com/manual/reference/method/cursor.limit/
NEW QUESTION # 121
Select all true statements about the $merge stage.
- A. $merge stage allows us to output the documents to a collection in the same or different database.
- B. $merge stage allows us to output the documents to a sharded collection.
- C. $merge stage must be the last in the pipeline.
Answer: A,B,C
Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/merge/
NEW QUESTION # 122
It's very important to picking a good shard key. If we don't choose a good shard key, then we won't be able to see the benefits of horizontal scaling.
- A. True
- B. False
Answer: A
Explanation:
https://docs.mongodb.com/manual/core/sharding-shard-key/
NEW QUESTION # 123
Select all default configurations for mongod.
- A. The default port for mongod is 27017.
- B. By default, mongod doesn't enforce authentication.
- C. The default data directory for mongod is /data/db
- D. By default, mongod is only bound to localhost (or 127.0.0.1).
Answer: A,B,C,D
Explanation:
https://docs.mongodb.com/manual/reference/configuration-options/
NEW QUESTION # 124
Select all true statements regarding to unique indexes in MongoDB.
- A. When creating a unique index, we need to pass an additional unique option set to true. For example:
- B. db.products.createIndex( { manufacturer_id: 1 }, { unique: true } )
- C. In MongoDB we cannot enforce a unique constraint on compound indexes.
- D. A unique index ensures that the indexed fields don't store duplicate values.
- E. By default, MongoDB creates a unique index on the _id field.
Answer: B,D,E
Explanation:
https://docs.mongodb.com/manual/core/index-unique/
NEW QUESTION # 125
What is data modeling in MongoDB world?
- A. A way to decide whether to store your data in the cloud or locally.
- B. A way to show your database with graphs.
- C. A way to build your application based on how your data is stored.
- D. A way to organize fields in a document to support your application performance and querying capabilities.
Answer: D
Explanation:
https://docs.mongodb.com/manual/core/data-modeling-introduction/
NEW QUESTION # 126
The users collection in the database is given. Which field will be the best candidate for an index in terms of cardinality?
- A. email (high cardinality)
- B. age (medium cardinality)
- C. gender (low cardinality)
Answer: A
Explanation:
https://docs.mongodb.com/manual/indexes/
NEW QUESTION # 127
Select true statement regarding to the MongoDB Atlas. (select 1)
- 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.
Answer: B
Explanation:
Explanation: https://docs.atlas.mongodb.com/
NEW QUESTION # 128
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: { $gt: 1 } }}]
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/group/
NEW QUESTION # 129
Which of the following statements are true regarding MongoDB views?
- A. Views are read only.
- B. MongoDB views themselves don't contain data.
- C. Write operations to views will raise an error.
- D. Views are write only.
- E. MongoDB views are created on demand and reflect the data in the source collection.
Answer: A,B,C,E
Explanation:
https://docs.mongodb.com/manual/core/views/
NEW QUESTION # 130
Suppose you have an accounts collection with the following document structure: { _id: ObjectId("61af47c6e29861661d063714"), account_id: 1010, type: 'investment', limit: 1000000 }, { _id: ObjectId("61af47c6e29861661d063715"), account_id: 4336, type: 'derivatives', limit: 100000 }, { _id: ObjectId("61af47c6e29861661d063716"), account_id: 4336, type: 'commodity', limit: 1000 } Which of the following documents would be modified by this update? db.accounts.updateMany( { "type": "investment" }, { "$set": { "limit": 2000000 } } )
- A. { _id: ObjectId("61af47c6e29861661d063715"), account_id: 4336, type: 'derivatives', limit: 100000 }
- B. { _id: ObjectId("61b1bde1ceb6f770f56b0cd9"), account_id: 4915, type: 'investment', limit: 1000000 }
- C. { _id: ObjectId("61af47c6e29861661d067825"), account_id: 7355, type: 'commodity', limit: 500000 }
- D. { _id: ObjectId("61af47c6e29861661d063714"), account_id: 1010, type: 'investment', limit: 1000000 }
Answer: B,D
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.updateMany/
NEW QUESTION # 131
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" replication: replSetName: "REPL1" net: bindIp: "127.0.0.1,192.168.168.84" 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" security: keyFile: "/data/keyfile" processManagement: fork: true
- C. 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
- 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: B
Explanation:
https://docs.mongodb.com/manual/reference/configuration-options/
NEW QUESTION # 132
Which of the following commands will add a collection that is stored in JSON file to a MongoDB cluster?
- A. mongoimport
- B. mongostore
- C. mongodump
- D. mongoexport
Answer: A
Explanation:
https://docs.mongodb.com/database-tools/mongoimport/
NEW QUESTION # 133
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