Why relevance scoring ranks results in Elasticsearch - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to specify the field to search in Elasticsearch.

Elasticsearch

{
  "query": {
    "match": {
      "[1]": "search text"
    }
  }
}

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

Aauthor

Bscore

Cdate

Dtitle

Attempts:

3 left

💡 Hint

Common Mistakes

Using a numeric or date field instead of a text field.

The match query requires the field name to search. Here, title is the correct field to search text in.

2fill in blank

medium

Complete the code to add a boost factor to increase relevance of the field.

Elasticsearch

{
  "query": {
    "match": {
      "title": {
        "query": "search text",
        "[1]": 2
      }
    }
  }
}

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

Aboost

Bscore

Cweight

Dpriority

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect parameter names like 'score' or 'weight' which are not valid here.

The boost parameter increases the importance of the field in scoring.

3fill in blank

hard

Fix the error in the code to correctly use the function_score query for custom scoring.

Elasticsearch

{
  "query": {
    "function_score": {
      "query": { "match_all": {} },
      "[1]": [
        {
          "weight": 2
        }
      ]
    }
  }
}

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

Afilters

Bfunctions

Cboosts

Dscores

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'filters' or 'boosts' which are not valid keys here.

The function_score query uses the functions array to define scoring functions.

4fill in blank

hard

Fill both blanks to create a query that boosts documents with a specific tag.

Elasticsearch

{
  "query": {
    "function_score": {
      "query": { "match": { "content": "search" } },
      "[1]": [
        {
          "filter": { "term": { "tag": "important" } },
          "[2]": 3
        }
      ]
    }
  }
}

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

Afunctions

Bweight

Cboost

Dscore

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'boost' instead of 'weight' inside functions.

The functions array holds scoring functions, and weight sets the boost value.

5fill in blank

hard

Fill all three blanks to create a query that boosts documents with tag 'vip' and sorts by score descending.

Elasticsearch

{
  "query": {
    "function_score": {
      "query": { "match_all": {} },
      "[1]": [
        {
          "filter": { "term": { "tag": "vip" } },
          "[2]": 5
        }
      ]
    }
  },
  "sort": [
    { "[3]": { "order": "desc" } }
  ]
}

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

Afunctions

Bweight

C_score

Dboost

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'boost' instead of 'weight' inside functions or sorting by a wrong field.

The functions array holds scoring functions, weight sets boost, and sorting by _score orders results by relevance.