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Apache SOLR

Apache SOLR

Free Practice Test

FREE
  • No. of Questions100
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice
  • TypeExam Format

Practice Exam

$7.99
  • No. of Questions100
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam
  • Last UpdatedJuly 2025

Online Course

-
  • Content TypeVideo
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No of videos-
  • No of hours-
Not Available

Apache SOLR


The Apache Solr Exam tests your ability to build and maintain robust search solutions using Solr. From indexing and querying to deploying SolrCloud at scale, this certification proves your readiness for real-world search engineering tasks in data-driven environments.


Skills Required

  • Familiarity with Apache Solr core components and architecture
  • Basic understanding of indexing, querying, and schema design
  • Experience with RESTful APIs and JSON/XML data formats


Who should take the Exam?

    This exam is ideal for:

    • Search engineers and developers working with Apache Solr
    • Data engineers responsible for indexing and retrieval systems
    • Software developers implementing Solr into enterprise applications
    • System administrators managing search infrastructure
    • Architects designing scalable, search-based applications


    Course Outline

    • Introduction to Apache Solr
    • Indexing in Solr
    • Querying and Search Features
    • Solr Configuration and Core Management
    • SolrCloud and Scalability
    • Performance Tuning and Optimization
    • Data Import and Integration
    • Security and Access Control
    • Solr Admin and Troubleshooting
    • Real-world Solr Use Cases

    Apache SOLR FAQs

    It’s used for building scalable search and analytics applications for structured and unstructured data.

    Some hands-on experience is recommended, especially with indexing and querying.

    Knowledge of Java, RESTful APIs, and JSON/XML handling is useful.

    Both are powerful—Solr excels in advanced text search and customizability.

    Yes, especially in roles related to search engineering, data platforms, and backend systems.

    Yes, it includes SolrCloud setup, sharding, replication, and Zookeeper configuration.

    Solr is built on top of Lucene and provides a web-based interface and additional capabilities.

    Yes, it’s valued in search-heavy roles across tech, retail, publishing, and analytics sectors.

     

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