Why indexes organize data in Elasticsearch - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create an index named 'products'.

Elasticsearch

PUT /[1]

Drag options to blanks, or click blank then click option'

Aproducts

Busers

Corders

Dcustomers

Attempts:

3 left

💡 Hint

Common Mistakes

Using a wrong index name that does not match the data type.

Forgetting to specify the index name after PUT.

The index name 'products' is used to organize product data in Elasticsearch.

2fill in blank

medium

Complete the code to add a document with ID '1' to the 'products' index.

Elasticsearch

PUT /products/_doc/[1]
{
  "name": "Laptop",
  "price": 1200
}

Drag options to blanks, or click blank then click option'

A10

B100

C1

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using an ID that does not match the document intended.

Omitting the document ID in the URL.

The document ID '1' uniquely identifies this product in the 'products' index.

3fill in blank

hard

Fix the error in the query to search for products with price less than 1500.

Elasticsearch

{
  "query": {
    "range": {
      "price": { "[1]": 1500 }
    }
  }
}

Drag options to blanks, or click blank then click option'

Agt

Bgte

Clte

Dlt

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'gt' or 'gte' which would find prices greater than or equal to 1500.

Using 'lte' which includes 1500, not strictly less.

The 'lt' operator means 'less than', which matches products priced below 1500.

4fill in blank

hard

Fill the blank to create an index with a mapping that sets 'price' as a double type.

Elasticsearch

PUT /products
{
  "mappings": {
    "properties": {
      "price": { "type": "[1]" }
    }
  }
}

Drag options to blanks, or click blank then click option'

Atext

Bdouble

Ckeyword

Dinteger

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'integer' which does not support decimals.

Using 'text' or 'keyword' which are for strings.

The 'double' type is used for decimal numbers like prices.

5fill in blank

hard

Fill all three blanks to write a query that finds products with name 'Laptop' and price greater than 1000.

Elasticsearch

{
  "query": {
    "bool": {
      "must": [
        { "match": { "name": "[1]" } },
        { "range": { "price": { "[2]": [3] } } }
      ]
    }
  }
}

Drag options to blanks, or click blank then click option'

ALaptop

Bgt

C1000

Dlt

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'lt' instead of 'gt' for price comparison.

Putting the wrong value for the name or price.

This query matches documents where the name is 'Laptop' and the price is greater than 1000.