Suppose you have an accounts collection with the following document structure: { _id: ObjectId("61af47c6e29861661d063714"), account_id: 1010, type: 'investment', limit: 1000000 }, { _id: ObjectId("61af47c6e29861661d063715"), account_id: 4336, type: 'derivatives', limit: 100000 }, { _id: ObjectId("61af47c6e29861661d063716"), account_id: 4336, type: 'commodity', limit: 1000 } Which of the following documents would be modified by this update? db.accounts.updateMany( { "type": "investment" }, { "$set": { "limit": 2000000 } } )

• A.{ _id: ObjectId("61af47c6e29861661d063715"), account_id: 4336, type: 'derivatives', limit: 100000 }
• B.{ _id: ObjectId("61b1bde1ceb6f770f56b0cd9"), account_id: 4915, type: 'investment', limit: 1000000 }
• C.{ _id: ObjectId("61af47c6e29861661d067825"), account_id: 7355, type: 'commodity', limit: 500000 }
• D.{ _id: ObjectId("61af47c6e29861661d063714"), account_id: 1010, type: 'investment', limit: 1000000 }

Comment: *

Name: *

Email: *

Verification: *

MongoDB can benefit from adding more RAM to your servers.

• A.Yes
• B.No

Comment: *

Name: *

Email: *

Verification: *

Consider a many-to-many relationship observed between courses and the students enrolled in these courses. Which of the following are true about modeling this many-to-many relationship with the document model in MongoDB?

• A.Embedding students in courses duplicates student information.
• B.Embedding students in courses still requires a separate collection to store all students (we may have students who are not enrolled in any course).
• C.The many-to-many relationship cannot be represented in MongoDB.
• D.When using one collection for students and one collection for courses there is a need for an array of references in only one collection.

Comment: *

Name: *

Email: *

Verification: *

Which of the following constraints might impact your data model for MongoDB?

• A.Security & Compliance
• B.RAM
• C.Network
• D.Operating System

Comment: *

Name: *

Email: *

Verification: *

What can you deduce from the explain() method?
For example:
db.collection.find().explain()

• A.All stages that the query must go through with details about the time it takes, number of documents processed and returned to the next stage in the pipeline.
• B.All available indexes for this collection.
• C.The index used by the chosen plan.
• D.Whether the sort stage was performed by index or performed in memory.

Comment: *

Name: *

Email: *

Verification: *