elastic学习-elastic认证考纲

1. 数据管理

1. 定义满足条件的索引 index
2. 定义并使用满足条件的索引模板 index template
3. 定义并使用满足条件的动态模板 dynamic template
4. 为时间序列索引定义一个ILM策略
5. 定义创建新的数据流的索引模板-index template+data stream

2. 检索数据

1. 执行查询query: terms and/or phrases 在一个索引的单个或多个field中;
2. 执行查询query: 使用bool组合多个查询和过滤器 bool filter 多个查询;
3. 写异步检索: async search;
4. metric and bucket aggregations
5. 有子聚合的聚合;
6. 跨集群检索: searches across multiple clusters
7. 使用运行时字段的检索: search that utilizes a runtime field

3. 研发检索应用

1. 高亮检索结果中的term词;
2. 按需求对检索结果进行sort;
3. 检索结果分页-paginate;
4. 定义并使用索引别名: alias;
5. 定义并使用检索模板 search template

4. 数据处理

1. 定义满足条件的mapping;
2. 定义并使用满足条件的定制analyzer: custom analyzer ;

3. multi-fields: 不同data type, analyzers的multi-fields;

   (Define and use multi-fields with different data types and/or analyzers)

4. 使用reindex api+update by query来reindex和更新文档;

5. 定义和使用ingest pipeline, 包含无痛修改document;

   (Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents)

6. 通过 Painless scripting 定义runtime fields来获取自定义values

   (Define runtime fields to retrieve custom values using Painless scripting)

5. 集群管理

1. 诊断分片问题并修复集群的健康状态;
2. 备份和恢复某个集群或某个索引;
3. 配置一个snapshot 为可检索;
4. 配置一个cluster为可跨集群检索: for cross-cluster search
5. 实现跨集群复制: Implement cross-cluster replication

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Topics

Elastic Certified Engineer exam is currently on version 8.1.

1.Data Management

1. Define an index that satisfies a given set of requirements
2. Define and use an index template for a given pattern that satisfies a given set of requirements
3. Define and use a dynamic template that satisfies a given set of requirements
4. Define an Index Lifecycle Management policy for a time-series index
5. Define an index template that creates a new data stream

2.Searching Data

1. Write and execute a search query for terms and/or phrases in one or more fields of an index
2. Write and execute a search query that is a Boolean combination of multiple queries and filters
3. Write an asynchronous search
4. Write and execute metric and bucket aggregations
5. Write and execute aggregations that contain sub-aggregations
6. Write and execute a query that searches across multiple clusters
7. Write and execute a search that utilizes a runtime field

3.Developing Search Applications

1. Highlight the search terms in the response of a query
2. Sort the results of a query by a given set of requirements
3. Implement pagination of the results of a search query
4. Define and use index aliases
5. Define and use a search template

4.Data Processing

1. Define a mapping that satisfies a given set of requirements
2. Define and use a custom analyzer that satisfies a given set of requirements
3. Define and use multi-fields with different data types and/or analyzers
4. Use the Reindex API and Update By Query API to reindex and/or update documents
5. Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
6. Define runtime fields to retrieve custom values using Painless scripting

5.Cluster Management

1. Diagnose shard issues and repair a cluster's health
2. Backup and restore a cluster and/or specific indices
3. Configure a snapshot to be searchable
4. Configure a cluster for cross-cluster search
5. Implement cross-cluster replication