Elastic Search 5.0 Practice Exam

ElasticSearch 5.0 is a distributed, open-source search and analytics engine designed for scalability and high performance. It enables users to store, search, and analyze large volumes of data in real-time. Built on Apache Lucene, ElasticSearch 5.0 is a part of the Elastic Stack (formerly ELK Stack), including Logstash, Kibana, and Beats. The 5.0 version provides faster query execution, field data structures, geo capabilities, and better integration with Kibana and Logstash.

Certification in ElasticSearch 5.0 certifies your skills and knowledge in configuring, managing, and optimizing ElasticSearch clusters. This certification assess you in data indexing, query execution, cluster maintenance, and real-time analytics.
Why is Elastic Search 5.0 certification important?

• Demonstrates expertise in handling large-scale search and analytics tasks.
• Validates skills in setting up and managing ElasticSearch clusters.
• Enhances the ability to perform efficient data indexing and search.
• Establishes proficiency in integrating ElasticSearch with other Elastic Stack tools.
• Showcases knowledge of query optimization and cluster troubleshooting.
• Increases employability for roles in big data analytics, DevOps, and software engineering.
• Boosts credibility for professionals working in real-time analytics and log monitoring.

Who should take the Elastic Search 5.0 Exam?

• Data Engineers.
• Big Data Analysts.
• DevOps Engineers.
• Software Developers.
• IT System Administrators.
• Site Reliability Engineers (SREs).
• Application Developers working with search capabilities.
• Cloud Engineers specializing in data storage and retrieval.
• Business Intelligence (BI) Professionals.
• Cybersecurity Analysts using ElasticSearch for threat detection.

Skills Evaluated

Candidates taking the certification exam on the Elastic Search 5.0 is evaluated for the following skills:

• Setting up and configuring ElasticSearch clusters.
• Performing efficient data indexing and document storage.
• Writing and optimizing search queries.
• Managing cluster health, scalability, and performance.
• Troubleshooting and resolving common ElasticSearch issues.
• Implementing advanced analytics using aggregations.
• Integrating ElasticSearch with Logstash, Kibana, and Beats.
• Securing ElasticSearch clusters and data.
• Managing and analyzing log data in real-time.
• Designing and implementing backup and recovery strategies.

Elastic Search 5.0 Certification Course Outline
The course outline for Elastic Search 5.0 certification is as below -

• Overview of ElasticSearch and Elastic Stack.
• Features and architecture of ElasticSearch.

• Setting up and configuring clusters.
• Understanding nodes, shards, and replicas.
• Monitoring and maintaining cluster health.

• Creating and managing indices.
• Index mapping and field types.
• Handling document CRUD operations.

• Writing basic and advanced search queries.
• Working with match, term, and range queries.
• Query optimization and performance tuning.

• Understanding and using aggregations.
• Metrics and bucket aggregations.
• Advanced use of pipelines and filters.

• Using Logstash for data ingestion.
• Visualizing data with Kibana.
• Using Beats for data shipping.

• role-based access control (RBAC).
• Securing ElasticSearch
  
• Authentication and authorization.

• Snapshots and restoring data.
• Disaster recovery.