Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
Certifications
This course is part of the following Certifications:
Prerequisites
To be successful, students should have a solid understanding of the following modules:
- Fundamentals 1 & 2 (Retired)
Or the following single-subject modules:
- What is Splunk? (Retired)
- Intro to Splunk (ITS)
- Using Fields (SUF)
- Intro to Knowledge Objects (IKO)
- Creating Knowledge Objects (CKO)
- Creating Field Extractions (CFE)
Students should also understand the following courses:
Course Objectives
- Requirements definition
- Index and resource planning
- Clustering Overview
- Forwarder and Deployment
- Integration
- Performance Monitoring and Tuning
- Use Cases
Course Content
This 9-hour module focuses on large enterprise deployments. Students learn steps and best practices for planning, data collection and sizing for a distributed deployment. Workshop-style labs challenge students to make design decisions about an example enterprise deployment.
Please note that this class may run across two days, with 4.5 hour sessions each day.
Anglais
Moyens Pédagogiques :