A Dis max query is a type of query that runs multiple queries and returns the highest score from any of them. It helps find the best matching documents when searching across multiple fields.
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intermediate
How does the Dis max query combine scores from multiple queries?
It takes the maximum score from all the queries and optionally adds a tie breaker score from the other queries multiplied by a tie_breaker parameter.
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intermediate
What is the purpose of the tie_breaker parameter in a Dis max query?
The tie_breaker parameter adds a fraction of the scores from the other queries to the maximum score, helping to boost documents that match multiple queries slightly.
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beginner
Write a simple Dis max query that searches for 'apple' in two fields: 'title' and 'description'.
Why might you choose a Dis max query over a bool 'should' query with multiple matches?
Because Dis max returns the highest score from the queries, it avoids boosting documents that match multiple fields too much, which can be useful when you want the best single match rather than cumulative matches.
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What does a Dis max query return when multiple queries match a document?
AThe highest score from any query
BThe sum of all query scores
CThe average score of all queries
DOnly the first query's score
✗ Incorrect
A Dis max query returns the maximum score from all the queries it runs.
What is the default value of the tie_breaker parameter in a Dis max query?
A0.5
B1.0
C0.0
D2.0
✗ Incorrect
The default tie_breaker value is 0.0, meaning no additional score from other queries is added.
Which Elasticsearch query type is best when you want to combine scores by taking the maximum?
ARange query
BBool must query
CTerm query
DDis max query
✗ Incorrect
Dis max query combines multiple queries by taking the maximum score.
If you want to slightly boost documents matching multiple queries in a Dis max query, which parameter do you adjust?
Atie_breaker
Bboost
Cminimum_should_match
Dfuzziness
✗ Incorrect
The tie_breaker parameter controls how much scores from other queries add to the max score.
Which of these is NOT a feature of the Dis max query?
AReturns the maximum score from multiple queries
BCombines queries using AND logic
CAdds a tie breaker score from other queries
DHelps when searching multiple fields
✗ Incorrect
Dis max query does not combine queries using AND logic; it picks the max score.
Explain how a Dis max query works and when you would use it.
Think about searching in several places and picking the best match.
You got /4 concepts.
Describe the difference between a Dis max query and a bool 'should' query in Elasticsearch.
Consider how scores are combined and what effect that has.
You got /4 concepts.
Practice
(1/5)
1. What is the main purpose of the dis_max query in Elasticsearch?
easy
A. To select the highest score from multiple queries to find the best match
B. To combine all scores from multiple queries by summing them
C. To filter documents based on a single exact match
D. To sort documents alphabetically by a field
Solution
Step 1: Understand the dis_max query behavior
The dis_max query evaluates multiple queries and picks the highest score among them for each document.
Step 2: Compare with other scoring methods
Unlike sum or filter queries, dis_max focuses on the best single match score, not combined or filtered results.
Final Answer:
To select the highest score from multiple queries to find the best match -> Option A
Quick Check:
dis_max picks highest score = A [OK]
Hint: Remember: dis_max picks the best single score, not sums [OK]
Common Mistakes:
Thinking dis_max sums scores from all queries
Confusing dis_max with filter queries
Assuming dis_max sorts documents alphabetically
2. Which of the following is the correct syntax to use a dis_max query with two match queries in Elasticsearch?
easy
A. {\"dis_max\": {\"queries\": {\"match\": {\"field1\": \"value1\"}, \"match\": {\"field2\": \"value2\"}}}}
B. {\"dis_max\": [{\"match\": {\"field1\": \"value1\"}}, {\"match\": {\"field2\": \"value2\"}}]}
C. {\"dis_max\": {\"queries\": [{\"match\": {\"field1\": \"value1\"}}, {\"match\": {\"field2\": \"value2\"}}]}}
D. {\"dis_max\": {\"query\": [{\"match\": {\"field1\": \"value1\"}}, {\"match\": {\"field2\": \"value2\"}}]}}
Solution
Step 1: Check the dis_max query structure
The dis_max query requires a queries array containing individual query objects.
Step 2: Validate the JSON syntax
{\"dis_max\": {\"queries\": [{\"match\": {\"field1\": \"value1\"}}, {\"match\": {\"field2\": \"value2\"}}]}} correctly uses queries as an array with two match queries inside separate objects.
B. The queries value should be an array, not an object; replace curly braces with square brackets
C. The match queries must be inside a 'query' key, not 'queries'
D. The field names must be strings without quotes
Solution
Step 1: Identify the queries structure error
The queries key must hold an array of query objects, but curly braces {} were used, making it an object.
Step 2: Correct the syntax
Replace the curly braces around the queries with square brackets [] to form a valid array.
Final Answer:
The queries value should be an array, not an object; replace curly braces with square brackets -> Option B
Quick Check:
queries must be array [] not object {} = A [OK]
Hint: Use [] for queries array, not {} [OK]
Common Mistakes:
Using curly braces instead of square brackets for queries
Adding unnecessary boost parameter causing errors
Removing quotes from field names
5. You want to boost the importance of a dis_max query compared to other queries in your Elasticsearch search. Which is the correct way to apply a boost to the entire dis_max query?
hard
A. { "dis_max": { "boost": 2.0, "tie_breaker": 0.5 } }
B. { "dis_max": { "queries": [...], "boost": "high" } }
C. { "dis_max": { "queries": [...], "tie_breaker": 2.0 } }
D. { "dis_max": { "queries": [...], "boost": 2.0 } }
Solution
Step 1: Understand boost usage in dis_max
The boost parameter is applied at the dis_max query level to increase its overall importance.
Step 2: Validate correct boost syntax
Boost must be a numeric value; { "dis_max": { "queries": [...], "boost": 2.0 } } correctly places boost: 2.0 inside dis_max alongside queries.