Apache SOLR Practice Exam
Apache SOLR Practice Exam
About Apache SOLR Exam
The Apache Solr Exam evaluates a candidate’s expertise in building, deploying, and managing high-performance search applications using Apache Solr. It covers indexing, querying, configuration, and performance tuning. The certification is ideal for developers, data engineers, and system architects working on search and analytics features within modern applications.
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
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
Knowledge Gained
- Building scalable search applications with Solr
- Designing custom schemas and configuring analyzers
- Optimizing Solr performance and replication
- Integrating Solr with external systems and big data pipelines
Course Outline
The Apache SOLR Exam covers the following topics -
Domain 1 – Introduction to Apache Solr
- Overview of Solr and Lucene
- Solr architecture and core components
- Use cases and deployment models
Domain 2 – Indexing in Solr
- Indexing data using Solr's APIs
- Understanding schema design and dynamic fields
- Using analyzers, tokenizers, and filters
Domain 3 – Querying and Search Features
- Solr query syntax and query parsers
- Faceted search, highlighting, and spell checking
- Advanced queries and result ranking
Domain 4 – Solr Configuration and Core Management
- Managing Solr cores and collections
- Solr configuration files (solrconfig.xml and schema.xml)
- Config sets and schema API usage
Domain 5 – SolrCloud and Scalability
- SolrCloud architecture and setup
- Sharding and replication
- Zookeeper configuration and coordination
Domain 6 – Performance Tuning and Optimization
- Monitoring and analyzing query performance
- Caching strategies and memory tuning
- Index optimization techniques
Domain 7 – Data Import and Integration
- Using Solr Data Import Handler (DIH)
- Integrating Solr with databases, Hadoop, and Spark
- Batch and streaming data ingestion
Domain 8 – Security and Access Control
- Securing Solr with authentication and authorization
- Using BasicAuth, Kerberos, and SSL
- Managing user roles and permissions
Domain 9 – Solr Admin and Troubleshooting
- Using the Solr Admin UI
- Logs, error messages, and debugging tips
- Backup and restore strategies
Domain 10 – Real-world Solr Use Cases
- Enterprise search systems
- Product catalog search and e-commerce
- Log and text analytics platforms
