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NEW QUESTION 28
We have the following schema for a movies collection: { _id: ObjectId, title: String, genres: Array, languages: Array, year: 32-bit integer } And the following index on the movies collection: { title: 1 } Which of the following queries will use the given index to perform the sorting stage?
Answer: A,B,D
Explanation:
db.movies.find( { genres: "Drama" } ).sort( { title: 1 } ) Yes, in this case the index will be used to retrieve the sorted documents and then it will filter the movies matching the genre. https://docs.mongodb.com/manual/indexes/
NEW QUESTION 29
Suppose you are connected to mongod instance that is already running on port 27000 as admin user. You have to create a new user for an application that has the readWrite role. Use the db.createUser() command to create a user for a CRUD application. The requirements for this user are: -> role: readWrite on esmartdata database -> username: esmart -> password: esmart123 Which command should you use?
Answer: A
Explanation:
https://docs.mongodb.com/manual/reference/method/db.createUser/
NEW QUESTION 30
Select all true statements regarding to scaling.
Answer: B,C
Explanation:
https://www.mongodb.com/databases/scaling
NEW QUESTION 31
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?
Answer: B
Explanation:
https://docs.mongodb.com/manual/tutorial/query-embedded-documents/
NEW QUESTION 32
Suppose you have a developers collection with the following document structure: { _id: 1, fname: 'Bob', lname: 'Smith', tech_stack: [ 'git', 'c++', 'sqlite', 'linux' ] } Select a query that can be executed without errors.
Answer: B
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.updateOne/
NEW QUESTION 33
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