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2026 Statistics
Key Facts: Elastic Certified Engineer Exam
3 hours
Exam Duration
Elastic
$400
Exam Fee
Elastic
8.15
Elasticsearch Version
Elastic FAQ
14 days
Retake Wait
Elastic FAQ
2 years
Credential Validity
Elastic
1 year
Attempt Validity
Elastic FAQ
Elastic Certified Engineer is a 3-hour performance-based exam on Elasticsearch 8.15, costing $400 USD per attempt. Delivered remotely through TrueAbility and Honorlock. Elastic documentation is accessible during the exam; other sites are not. 14-day retake wait. Credential valid for 2 years. No fixed task count or public passing score is published.
Sample Elastic Certified Engineer Practice Questions
Try these sample questions to test your Elastic Certified Engineer exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.
1Which API returns the health status of an Elasticsearch cluster, showing red/yellow/green status?
A.GET /_cluster/stats
B.GET /_cluster/health
C.GET /_nodes/stats
D.GET /_cat/health?v
Explanation: GET /_cluster/health returns the cluster health status (green/yellow/red), number of nodes, shards, and pending tasks.
2A cluster has status 'yellow'. What does this indicate?
A.All primary and replica shards are assigned
B.All primary shards are assigned but some replica shards are unassigned
C.Some primary shards are unassigned
D.The cluster is unavailable
Explanation: Yellow status means all primary shards are assigned and the cluster is operational, but one or more replica shards are unassigned. Data is available but not fully redundant.
3You run GET /_cluster/allocation/explain and see 'no_attempt' for a shard. What is the most likely cause?
A.The shard is actively being relocated
B.Allocation is disabled via cluster.routing.allocation.enable set to 'none'
C.The node hosting the shard has left the cluster
D.The index has been closed
Explanation: When cluster.routing.allocation.enable is set to 'none' or 'primaries', replica allocation is halted and the explain API reports 'no_attempt' because Elasticsearch has not tried to allocate the shard.
4What is the correct Request body to create an index named 'products' with 2 primary shards and 1 replica?
A.{"settings":{"number_of_shards":2,"number_of_replicas":1}}
B.{"mappings":{"shards":2,"replicas":1}}
C.{"index":{"shards":2,"replicas":1}}
D.{"settings":{"shards":2,"replicas":1}}
Explanation: Index settings use the keys number_of_shards and number_of_replicas inside a settings block. PUT /products with this body creates the index correctly.
5Which mapping type should you use for a field that stores structured JSON objects and needs each sub-field to be indexed independently?
A.nested
B.object
C.flattened
D.keyword
Explanation: The 'object' type maps JSON objects with each sub-field indexed as a flat field (e.g., address.city). Use 'nested' only when you need to query inner objects as independent documents.
6You have an index with dynamic mapping enabled. A document is indexed with a field 'price' containing the value '19.99' (a string). What type will Elasticsearch assign?
A.float
B.double
C.keyword and text (multi-field)
D.long
Explanation: Dynamic mapping for string values creates a multi-field: a 'text' field for full-text search and a 'keyword' sub-field for sorting/aggregations. Numeric strings are NOT auto-detected as numbers.
7Which setting prevents Elasticsearch from adding new fields to an index automatically while still allowing documents with unknown fields to be indexed (fields are ignored)?
A."dynamic": "strict"
B."dynamic": false
C."dynamic": "runtime"
D."dynamic": true
Explanation: Setting dynamic to false disables automatic field creation. Unknown fields are silently ignored during indexing but not mapped or searchable. Documents are still accepted.
8What is a runtime field in Elasticsearch?
A.A field computed at query time from existing document data, not stored in the index
B.A field that is updated automatically when a document is re-indexed
C.A field type exclusive to time-series indices
D.A field that overrides an existing mapped field at write time
Explanation: Runtime fields are evaluated at query time using a Painless script. They are not stored in _source or the inverted index, making them flexible for ad-hoc field definitions without reindexing.
9You need to add a runtime field 'full_name' that concatenates 'first_name' and 'last_name' from _source. Which API do you use to add it to an existing index without reindexing?
A.PUT /index/_mapping with a runtime block
B.POST /index/_update_by_query
C.PUT /index/_settings
D.POST /index/_reindex
Explanation: Runtime fields are defined in the index mapping under a 'runtime' block via PUT /<index>/_mapping. They do not require reindexing because values are computed at query time.
10Which Query DSL query finds documents where the 'status' field exactly equals 'published'?
A.{"match":{"status":"published"}}
B.{"term":{"status":{"value":"published"}}}
C.{"match_phrase":{"status":"published"}}
D.{"wildcard":{"status":{"value":"publish*"}}}
Explanation: The term query performs an exact match on keyword/numeric fields without analysis. It is the correct choice for exact value lookups on keyword fields.
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