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Test this pattern10 questions across easy, medium, and hard to know if this pattern is strong
Recall & Review
beginner
What is a saved search in Elasticsearch?
A saved search is a stored query that you can reuse later to quickly find data without rewriting the query each time.
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beginner
How do filters differ from queries in Elasticsearch?
Filters are used to include or exclude documents without scoring, making them faster and cacheable, while queries calculate relevance scores.
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intermediate
Why use saved filters in Elasticsearch?
Saved filters let you reuse common filtering logic easily, improving performance and consistency across searches.
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beginner
How can you save a search in Kibana for Elasticsearch?
In Kibana, after creating a search with filters and queries, you can save it by clicking the 'Save' button and giving it a name for reuse.
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intermediate
What is the benefit of combining saved filters with saved searches?
Combining saved filters with saved searches helps quickly apply common conditions and queries, saving time and reducing errors.
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What does a saved search store in Elasticsearch?
AA backup of the entire index
BA reusable query to find data
CA list of all documents
DA visualization chart
✗ Incorrect
A saved search stores a reusable query to quickly find data without rewriting it.
Which of the following is true about filters in Elasticsearch?
AFilters are cacheable and do not score results
BFilters are slower than queries
CFilters calculate relevance scores
DFilters cannot be saved
✗ Incorrect
Filters are cacheable and do not calculate relevance scores, making them faster.
How do saved filters improve search performance?
ABy recalculating scores each time
BBy storing all documents locally
CBy reusing common filtering logic and caching results
DBy deleting irrelevant data
✗ Incorrect
Saved filters improve performance by reusing common filters and caching their results.
In Kibana, how do you save a search?
ABy deleting filters
BBy exporting the index
CBy restarting Elasticsearch
DBy clicking the 'Save' button after creating the search
✗ Incorrect
You save a search in Kibana by clicking the 'Save' button after setting up your query and filters.
What is a key advantage of combining saved searches and filters?
AIt saves time and reduces errors by reusing logic
BIt requires rewriting queries each time
CIt deletes old data automatically
DIt slows down queries
✗ Incorrect
Combining saved searches and filters saves time and reduces errors by reusing common logic.
Explain what saved searches and saved filters are in Elasticsearch and why they are useful.
Think about how saving queries and filters helps avoid repeating work.
You got /4 concepts.
Describe the difference between queries and filters in Elasticsearch and how saved filters affect search speed.
Focus on scoring and caching differences.
You got /4 concepts.
Practice
(1/5)
1. What is the main purpose of a saved search in Elasticsearch?
easy
A. To create visual charts from data
B. To store raw data permanently
C. To reuse a query easily without rewriting it every time
D. To delete old data automatically
Solution
Step 1: Understand what saved searches do
Saved searches store queries so you can run them again without rewriting.
Step 2: Compare options to this purpose
Only To reuse a query easily without rewriting it every time describes reusing queries easily, which matches saved searches.
Final Answer:
To reuse a query easily without rewriting it every time -> Option C
Quick Check:
Saved searches = reuse queries [OK]
Hint: Saved searches store queries for reuse, not data or visuals [OK]
Common Mistakes:
Confusing saved searches with data storage
Thinking saved searches create charts
Assuming saved searches delete data
2. Which of the following is the correct JSON structure to apply a filter in a saved search?
easy
A. {"query": {"match_all": {}}, "filter": {"term": {"status": "active"}}}
B. {"query": {"filtered": {"filter": {"term": {"status": "active"}}}}}
C. {"query": {"term": {"status": "active"}}}
D. {"filter": {"match": {"status": "active"}}}
Solution
Step 1: Recall filter syntax in Elasticsearch saved searches
Filters are applied inside a filtered query using the "filtered" key.
Step 2: Check each option's structure
{"query": {"filtered": {"filter": {"term": {"status": "active"}}}}} correctly uses "query": {"filtered": {"filter": {...}}} which is the right way to apply filters.
Final Answer:
{"query": {"filtered": {"filter": {"term": {"status": "active"}}}}} -> Option B
The JSON snippet ends without closing all opened braces, causing syntax error.
Step 2: Verify other parts are valid
Using 'term' filter and 'match' query inside filtered is correct syntax.
Final Answer:
Missing closing braces at the end -> Option D
Quick Check:
JSON must be properly closed [OK]
Hint: Count opening and closing braces to spot JSON errors [OK]
Common Mistakes:
Ignoring missing braces causing syntax errors
Thinking 'term' filter is wrong here
Assuming filters can't be inside queries
5. You want to create a saved search that filters documents where 'status' is 'active' and 'priority' is either 'high' or 'medium'. Which JSON filter correctly represents this?