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Marklogic Architecture

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 Database A MarkLogic server database acts as an abstraction layer between the forests and the HTTP, WebDAV, or XDBC servers. A database consists of data forests that are set up on hosts in the same cluster but not necessarily in the same group. It allows a set of one or more forests to appear as a single adjacent set of content for research purposes.  Application Server (HTTP / XDBC / ODBC / WebDAV)  Database (Content / Modules / Schema / Triggers / Security) Forest  Stand (In Memory / On Disk) List Cache | Compressed Tree Cache | Expanded Tree Cache Single Node Architecture : Everything configured on one machine  Example:  Your computer for this training  Terminology: Node or Host A machine running MarkLogic   
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Course Details for Marklogic Certification [Developer]

 Developer Written Exam Details: I've mentioned the topics which need to cover to clear the MarkLogic Developer Certifications.  Architecture: • General understanding of key MarkLogic architecture components including:  Databases  Forests  Application servers  Hosts (E node / D node concepts)  Groups  Caches  Clusters  Merges  Rebalancing  Scalability XPath & FLWOR: XPath expressions, predicates, and axes FLWOR expression logic XQuery programming structure and syntax Indexing: Element and attribute range indexes String range indexes and collation Term List indexes Reverse index Tokenization and stemming concepts Working with data across multiple languages and its impact on indexes Reindexing Search: Search relevancy, query weighting, document weighting Filtered versus Unfiltered search Using query constructors Query tuning functions such as plan() Search across multiple languages Template-Driven Extraction: Creating and usi...
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