A MongoDB collection named logs is used to store event data for a web application. The collection originally had indexes on the timestamp, user_id, and event_type fields to facilitate fast queries on these fields. Due to a recent data archiving strategy, you decide to remove the index on event_type to save storage space. However, after doing so, some queries on the logs collection have slowed down considerably, especially those filtering by event_type. What is the most likely ramification of deleting the index on the event_type field?

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?

Suppose you have a restaurants collection with the following document structure:

{

  _id: ObjectId("5eb3d668b31de5d588f42931"),

  address: {

    building: '6409',

    coord: [ -74.00528899999999, 40.628886 ],

    street: '11 Avenue',

    zipcode: '11219'

  },

  borough: 'Brooklyn',

  cuisine: 'American',

  grades: [

    {

      date: ISODate("2014-07-18T00:00:00.000Z"),

      grade: 'A',

      score: 12

    },

    {

      date: ISODate("2013-07-30T00:00:00.000Z"),

      grade: 'A',

      score: 12

    },

    {

      date: ISODate("2013-02-13T00:00:00.000Z"),

      grade: 'A',

      score: 11

    },

    { date: ISODate("2012-08-16T00:00:00.000Z"), 

      grade: 'A', 

      score: 2 },

    {

      date: ISODate("2011-08-17T00:00:00.000Z"),

      grade: 'A',

      score: 11

    }

  ],

  name: 'Regina Caterers',

  restaurant_id: '40356649'

}

You don't have any indexes so far. What will the query plan look like for the following query?

db.restaurants.find( { "cuisine": "American" } )