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NEW QUESTION 27
In your database there is a collection named companies with the following document structure: { name: 'Wize', relationships: [ { is_past: false, title: 'Head of Product', person: { first_name: 'Ethan', last_name: 'Smith', permalink: 'ethan-smith' } }, { is_past: true, title: 'Director, Business Development', person: { first_name: 'Stephanie', last_name: 'Quay', permalink: 'stephanie-quay' } }, { is_past: true, title: 'Sr. Engineer', person: { first_name: 'Stefan', last_name: 'Antonowicz', permalink: 'stefan-antonowicz' } } ] } Which of the following queries should you use to extract all companies that have "Co-Founder" title in relationships field (Array)?

• A. db.companies.find( { relationships: { $elemMatch: { title: 'Co-Founder' } } } )
• B. db.companies.find( { relationships: { $eq: { title: 'Co-Founder' } } } )
• C. db.companies.find( { relationships: { $match: { title: 'Co-Founder' } } } )

Answer: A

Explanation:
https://docs.mongodb.com/manual/reference/operator/query/elemMatch/

NEW QUESTION 28
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?

• A. $match
• B. $nin
• C. $in
• D. $elemMatch
• E. $all

Answer: D

Explanation:
https://docs.mongodb.com/manual/reference/operator/query/elemMatch/

NEW QUESTION 29
Suppose you want to create a unique compound index on two fields. It turns out, however, that the collection has duplicate pairs of values for these fields.
What happens if you try to create an index like this?

• A. The index will be created and no documents will be deleted.
• B. MongoDB will report an error.
• C. The index will be created and duplicate documents will be removed in random order.

Answer: B

Explanation:
https://docs.mongodb.com/manual/core/index-compound/

NEW QUESTION 30
$group stage can be used multiple times within an aggregation pipeline.

• A. False
• B. True

Answer: B

Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/group/

NEW QUESTION 31
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