C100DBA Sample Questions Answers

initializeUnorderedBulk

initializeUnorderedBulkOp

initializeBulk

initializeBulkOp

Code block

Name/value pair

Key

None of the above

Create

update

insert

delete

7

03

04

06

db.population.aggregate( [{ $group: { _id: { state: "$state", city: "$city" },pop: { $pop: 1 } } }] )

db.population.aggregate( [{ $group: { _id: { city: "$city" },pop: { $sum: "$pop" } } }] )Multi Document Transaction is not supported by MongoDB

db.population.aggregate( [{ $group: { _id: { state: Estate", city: "$city" },pop: { $sum: "$pop" } } }] )

db.population.aggregate( [{ $group: { _id: { state: Estate", city: "$city" },pop: { $sum: 1 > > >] )

Start the election process for primary

Vote for the first secondary so that it would become the next primary

Vote for itself and then call for election

Connect to primary to confirm its availability

Perform queries against MongoDB collections

Perform administrative tasks

Use as a JavaScript framework for your production system

Fetches the posts with likes between 100 and 200 and sets their _id as null

Groups the posts by number of likes (101, 102, 103.) by adding 1 every time

Calculates the number of posts with likes between 100 and 200

Fetches the posts with likes between 100 and 200, sets the _id of the first document as null and then increments it 1 every time

Returns the complete document but retrieves only the size field from the array

Returns the document but with only one element in the variations array (corresponding to size L)

Returns the complete document since MongoDB does not support partial array retrieval

Returns the complete document but retrieves only the size field from the array and also with only one element in the variations array (corresponding to size L)

.oplog.rs

oplog.rs

..oplog.rs

local.oplog.rs

You should use it early as possible in the pipeline

It can be used as many time as needed.

It has a sintax similar to findQ commands.

db.inventory.find( { ratings: { $elemMatch: { $gte: 3, $lte: 6 } } } )

db.inventory.find( { ratings: { $elemMatch: { $gt: 3, $lt: 6 }

db.inventory.find( { ratings: { ratings.$: { $gt: 5, $lt: 9 } } } )

db.inventory.find( { ratings: { ratings: { $gt: 5, $lt: 9 } } } )

{ "-id" : Objectld("580a42b5dfblb5al7427d302"), "nombre" : "ruben", "apellido" : "gomez", "aficion" : v u "flipar" }

{ "_id" : Objectld("580a42acdfblb5al7427d301"), "nombre" : "Luis", "apellido" : "gomez", "aficion" : u "flipar" }

{ "_id" : Objectld("580a42acdfblb5al7427d301"), "nombre" : "ruben", "apellido" : "Pablo" , "aficion" : u "flipar"}

{ "_id" : Objectld("580a42acdfblb5al7427d301"), "nombre" : "ruben", "apellido" : "gomez" >

mapReduce

group

aggregate

All of the above

Fixed Size

Only "Fixed Size" and "High-throughput operations that insert and retrieve documents based on insertion order"

High-throughput operations that insert and retrieve documents based on insertion order

If the allocated space for a capped collection exceeds, it stops inserting new documents

The write operations on the collection are low

The write operations on the collection are very high

The working set in the collection is expected to grow very large in size

The collection is a read intensive collection with less working set