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The MongoDB Certified Developer Associate Exam certification is designed for developers who want to enhance their skills and credibility in the competitive market of database management. MongoDB is a popular NoSQL database that is widely used in web and mobile applications. MongoDB Certified Developer Associate Exam certification provides developers with an opportunity to demonstrate their proficiency in working with MongoDB and to differentiate themselves from other developers in the market. It also provides organizations with a reliable way to evaluate the skills of their employees or potential hires.
MongoDB C100DEV Exam is a part of the MongoDB certification program, which offers various certifications for developers, administrators, and architects working with the database. The C100DEV certification is an entry-level certification that validates a developer's ability to design and build applications using MongoDB.
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Assign typical operational tasks to the Database Administrator.
A. write data, read data
B. write data
C. read data
D. create index, create user
Answer: D
NEW QUESTION # 183
What is a document in MongoDB?
A. It's a table that contains information about all collections in the database.
B. It's a text file containing the configuration of the MongoDB instance.
C. It's an ordered collection of keys (fields) with assigned values. The keys in each document are strings of characters. Documents in MongoDB cannot contain duplicate keys.
Answer: C
NEW QUESTION # 184
What command can you use to create a capped collection named latest_news that will be limited to 3 documents and 10,000 bytes?
A. db.createCollection('latest_news', {'size': 10000, 'max': 3})
B. db.createCollection('latest_news', {'capped': true, 'max': 3})
C. db.createCollection('latest_news', {'capped': true, 'size': 10000, 'max': 3})
NEW QUESTION # 185
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?
A. db.movies.aggregate( { $group: { _id: '$rated' } } )
B. db.movies.aggregate( { $group: '$rated' } )
C. db.movies.aggregate( { $group: { _id: 'rated' } } )
NEW QUESTION # 186
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) from the United States. Which query should you use?
NEW QUESTION # 187
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