IBM WebSphere MQ V7: Designing and Architecting Clustering Solutions -
Seminar
In Berlin
Beschreibung
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Kursart
Seminar
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Niveau
Anfänger
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Ort
Berlin
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Dauer
4 Tage
Explain basic WebSphere MQ cluster concepts Set up a simple cluster Use administrative commandsDescribe problems that might be encountered with WebSphere MQ clustersExplain workload management concepts Describe security, recovery, and failover issuesImplement a complex WebSphere MQ clusterList the design considerations for a WebSphere MQ clustering solutionDefine the process of incorporating non-cluster WebSphere MQ queue managers into a clusterDescribe cluster workload exits. Gerichtet an: This course is designed for system designers and administrators who work with WebSphere MQ solutions that include WebSphere MQ clusters.
Standorte und Zeitplan
Lage
Beginn
Beginn
Hinweise zu diesem Kurs
You should have practical experience with IBM WebSphere MQ, and should complete any one of the following courses (or have equivalent experience): Technical Introduction to WebSphere MQIBM WebSphere MQ V7.1 System Administration(VM204) (WM205) (VM205) (VM206)or
Meinungen
Inhalte
In this four-day, instructor-led course, students learn the intermediate skills that they need to administer an IBM WebSphere MQ clustered environment. This course is essential for anyone who is responsible for the design and administration of WebSphere MQ solutions that include WebSphere MQ clusters. The course uses a combination of lectures and hands-on labs, starting with an overview of WebSphere MQ clustering and a lab in which students create and test a simple queue manager cluster. The course continues by covering how to design and set up a sophisticated cluster, manage clusters, and perform full repository reassignment. Students also learn how to remove queue manager clusters and to use diagnostic tools to determine and resolve problems within a WebSphere MQ cluster. The lab environment for this course uses the Windows XP Professional SP3 platform.
IBM WebSphere MQ V7: Designing and Architecting Clustering Solutions -