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?

There are some special databases in MongoDB that we cannot use to create a new database. Select those names.

We have the following index in a movies collection: { title: 1, genres: 1 } We want to insert the following document: { "title": "The Immigrant", "year": 1917, "genres": [ "Short", "Comedy", "Drama" ] } How many index entries will be created?

Select all true statements about the $facet stage.

What is MongoDB Charts?