Question 1

You are developing a blogging platform using MongoDB as the database. Each blog post document has a tags array field that holds a list of strings. You are tasked to implement a search functionality that allows users to find blog posts based on the tags. Which of the following MongoDB features would you utilize to implement this functionality efficiently?

Options :

A : Capped Collections

B : Sharding

C : Text Indexes

D : Compound Indexes

E : GridFS

Answer: C

Question 2

When sharding a MongoDB collection, what is the main factor that determines the distribution of data across shards?

Options :

A : The location of the client issuing the query

B : The number of documents in the collection

C : The size of each document

D : The value of a shard key

Answer: D

Question 3

Suppose you have a products collection with an index:

{ product_category: 1 }

For which of the following queries can MongoDB look at only a subset of the index entries, rather than all of the index entries?

Options :

A : db.products.find( { product_category: /A$/ } )

B : db.products.find( { product_category: /A./ } )

C : db.products.find( { product_category: /S./ } )

D : db.products.find( { product_category: /^A./ } )

Answer: D

Question 4

You have a MongoDB collection named employees that contains documents with fields name, department, and salary. You want to update the salary of all employees in the "Marketing" department to $75,000. The original collection looks like this:

[

{ "_id": 1, "name": "Alice", "department": "Marketing", "salary": 60000 },

{ "_id": 2, "name": "Bob", "department": "Sales", "salary": 55000 },

{ "_id": 3, "name": "Charlie", "department": "Marketing", "salary": 62000 },

{ "_id": 4, "name": "David", "department": "Engineering", "salary": 70000 }

]

You run the following MongoDB update operation:

db.employees.updateMany(

{ "department": "Marketing" },

{ $set: { "salary": 75000 } }

)

What will the collection look like after this update operation?

Options :

A :

[
  { "_id": 1, "name": "Alice", "department": "Marketing", "salary": 60000 },
  { "_id": 2, "name": "Bob", "department": "Sales", "salary": 55000 },
  { "_id": 3, "name": "Charlie", "department": "Marketing", "salary": 75000 },
  { "_id": 4, "name": "David", "department": "Engineering", "salary": 70000 }
]

B :

[
  { "_id": 1, "name": "Alice", "department": "Marketing", "salary": 62000 },
  { "_id": 2, "name": "Bob", "department": "Sales", "salary": 55000 },
  { "_id": 3, "name": "Charlie", "department": "Marketing", "salary": 62000 },
  { "_id": 4, "name": "David", "department": "Engineering", "salary": 70000 }
]

C :

[
  { "_id": 1, "name": "Alice", "department": "Marketing", "salary": 75000 },
  { "_id": 2, "name": "Bob", "department": "Sales", "salary": 55000 },
  { "_id": 3, "name": "Charlie", "department": "Marketing", "salary": 75000 },
  { "_id": 4, "name": "David", "department": "Engineering", "salary": 70000 }
]

D :

[
  { "_id": 1, "name": "Alice", "department": "Marketing", "salary": 60000 },
  { "_id": 2, "name": "Bob", "department": "Sales", "salary": 75000 },
  { "_id": 3, "name": "Charlie", "department": "Marketing", "salary": 75000 },
  { "_id": 4, "name": "David", "department": "Engineering", "salary": 70000 }
]

Answer: C

Question 5

What is the correct syntax to insert multiple documents into a MongoDB collection named orders and return the _id values for all inserted documents?

Options :

A :

B :

C :

D :

Answer: B