elasticsearch

What is a shard?

• A subset (part) of an index data

• A copy of an index data

• A collection of indices

How does Elasticsearch scale the volume of data?

• By adding more nodes

• By using replication

• By using sharding

How many shards are added to an index by default?

• 1

• 5

• 8

• 2

What characterizes queries within a query context?

• Such queries affect relevance scores

• Such queries don't affect relevance scores

What characterizes queries within a filter context?

• Such queries affect relevance scores

• Such queries don't affect relevance scores

What characterizes term level queries?

• Term level queries match exact values and are not analyzed

• Term level queries match exact values and are analyzed

What characterizes full-text queries?

• Full-text queries are analyzed using the "standard" analyzer

• Full text queries are not analyzed

• Full text queries are analyzed using the analyzer defined for the searched field (or "standard" if none is defined)

• Full text queries search the inverted index instead of the documents themselves

Please write the queries and submit them in the format according to the image:

- HTTP verb and URL

- JSON body

Question:

Please write a query matching products that didn’t sell very well, being products where the “sold” field has a value of less than 10 (sold < 10).

Evaluate responses using AI:

OFF

Please write the queries and submit them in the format according to the image:

- HTTP verb and URL

- JSON body

Question:

Please write a query that matches products that contain a number within their "name" field.

Hint: You can use the following regular expression for this: [0-9]+

Evaluate responses using AI:

OFF

Please write the queries and submit them in the format according to the image:

- HTTP verb and URL

- JSON body

Question:

Please write a query matching documents containing one of the terms "Tomato" and "Paste" within the "name" field.

Evaluate responses using AI:

OFF