Select all true statements about chunks in MongoDB.

• A.Chunk ranges have an inclusive minimum and an exclusive maximum.
• B.The cluster may split chunks once they become too big.
• C.Documents in the same chunk may store on different shards

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Select all true statements about the $facet stage.

• A.The output of the $facet stage is subject to the 32 MB document size limit. If the results of the $facet stage exceed this limit, the aggregation produces an error.
• B.The output of the $facet stage is subject to the 16 MB document size limit. If the results of the $facet stage exceed this limit, the aggregation produces an error.
• C.The $facet stage processes multiple aggregation pipelines within a single stage on the same set of input documents.

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How does the document relate to the collection in MongoDB? Check all that apply.

• A.Documents are organized into collections.
• B.Collections are tables of documents.
• C.Documents consist of collections.
• D.Collections consists of one or many documents.

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In which situations can we consider sharding?

• A.We want to improve read performance for our application.
• B.It takes too long to backup and restore the data set.
• C.A new developer will join your development team soon.
• D.Our dataset is too big to fit in one MongoDB instance.

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You have the following index in a products collection: { product_category: 1, product_name: 1, origin_country: -1 } Which of the following queries can use this index? Check all that apply.

• A.db.products.find({ origin_country: 'Bangladesh', product_name: 'AIR MAX 90', product_category: 'shoes' })
• B.db.products.find({ product_name: 'AIR MAX 90', product_category: 'shoes', origin_country: 'Bangladesh' })
• C.db.products.find({ product_category: 'shoes', product_name: 'AIR MAX 90', origin_country: 'Bangladesh' })
• D.db.products.find({ product_name: 'AIR MAX 90', origin_country: 'Bangladesh' })

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