Question 1

You are developing a MongoDB application where write performance is a critical requirement. Given a scenario where your application primarily performs insert operations and rarely performs updates or deletes, which of the following MongoDB features would best optimize this heavy-write workload?

Options :

A : Change Streams

B : Capped Collections

C : Aggregation Pipeline

D : Sharding

Answer: D

Question 2

As a MongoDB Developer, you are tasked with the deletion of specific documents in a collection named users. The documents to be deleted are those that meet the following criteria: the age field is less than 18 and the status field is "inactive". After the deletion, you need to know the count of the deleted documents. Which of the following commands would correctly perform this operation?

Options :

A :

B :

C :

D :

E :

Answer: A

Question 3

Consider a MongoDB collection named orders which has documents in the following format:

{

"_id" : ObjectId("5f5b0d2f3e3dfbcc11c84444"),

"orderId" : 1001,

"customerId" : 200,

"items" : [

{

"productId" : 101,

"quantity" : 2

},

{

"productId" : 102,

"quantity" : 1

}

],

"totalAmount" : 250,

"status" : "Pending"

}

What is the correct syntax to find and update the first document in the orders collection where "status" is "Pending", and change the "status" field to "Completed" using the findAndModify method?

Options :

A :

db.orders.findAndModify(
  { status: "Pending" },
  { $set: { status: "Completed" } }
)

B :

db.orders.findAndModify({
  query: { status: "Pending" },
  update: { $set: { status: "Completed" } }
})

C :

db.orders.findAndModify({ query: { status: "Pending" }, status: "Completed" })

D :

db.orders.findAndModify({ status: "Pending" }, { status: "Completed" })

Answer: B

Question 4

You are working on a MongoDB database for a library system. The system tracks book information in a Books collection. A typical document in this collection looks like this:

Original Document:

{

"_id": ObjectId("book_id"),

"title": "The Art of Computer Programming",

"author": "Donald Knuth",

"genres": ["Computer Science", "Algorithms"],

"published_year": 1968,

"copies_available": 3

}

You are asked to update the document by replacing it with the following document:

Updated Document:

{

"title": "The Art of Computer Programming",

"published_year": 1973

}

After this update, what will the final document in the database look like?

Options :

A :

{
  "_id": ObjectId("book_id"),
  "title": "The Art of Computer Programming",
  "published_year": 1973
}

B :

{
  "_id": ObjectId("book_id"),
  "title": "The Art of Computer Programming",
  "author": "Donald Knuth",
  "genres": ["Computer Science", "Algorithms"],
  "published_year": 1973,
  "copies_available": 3
}

C :

{
  "title": "The Art of Computer Programming",
  "published_year": 1973,
  "author": "Donald Knuth"
}

D :

{
  "_id": ObjectId("book_id"),
  "title": "The Art of Computer Programming",
  "published_year": 1973,
  "genres": ["Computer Science"]
}

Answer: A

Question 5

Where is the MongoDB configuration file usually located?

Options :

A :

B :

C :

D :

E :

Answer: B