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🖥 Mainframe 📦 DFSMS ✔ 4 Levels Available

Mainframe DFSMS
Full Programme

A structured four-level curriculum covering IBM DFSMS for z/OS from foundational SMS constructs through advanced ACS routines, storage management, HSM integration, high-availability, and enterprise-level performance & disaster recovery. Designed for professionals targeting MNC mainframe storage administration careers.

Total Duration
32 Hours
🧪
Lab Hours
16 Hours
🎯
Format
Theory + Lab
🏆
Certificate
Arich Certified
Enrol Now →
Read-Only · Table of Contents · MF-DFSMS
📄 MF-DFSMS — Beginner Level
L1
MF-DFSMS
Mainframe DFSMS — Beginner
Total Duration: 32 Hours  |  Theory: 16 hrs  |  Lab: 16 hrs
01
Introduction to DFSMS
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Overview of DFSMS and its role in z/OS
Components of DFSMS – ACS routines
SMS constructs and their usage
02
Storage Classes & Management Classes
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Defining storage classes
Defining management classes
Relationship between management and ACS routines
03
Data Classes & ACS Routines
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Introduction to ACS routines
Writing basic ACS routines
Defining and managing data classes
04
Dataset Allocation & SMS Constructs
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Dataset allocation in SMS-managed environments
SMS constructs, policies, and validation
32
Total Hours
16
Theory Hrs
16
Lab Hrs
Read-Only · Table of Contents · MF-DFSMS
📄 MF-DFSMS — Intermediate Level
L2
MF-DFSMS
Mainframe DFSMS — Intermediate
Total Duration: 32 Hours  |  Theory: 16 hrs  |  Lab: 16 hrs
01
Advanced ACS Routine Coding
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Deep dive into ACS routines
Conditional logic
Multiple routines
Debugging techniques
02
SMS Constructs & Storage Group Policies
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Managing and updating storage classes, data classes, and management classes
Defining storage groups
03
Space Management & Migration Policies
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Dataset lifecycle management
Space release
HSM interaction
Migration/recall policies
04
Disaster Recovery & Backup Techniques
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
DFSMShsm, dump/restore utilities
Backup strategies
Disaster recovery planning
32
Total Hours
16
Theory Hrs
16
Lab Hrs
Read-Only · Table of Contents · MF-DFSMS
📄 MF-DFSMS — Advanced Level
L3
MF-DFSMS
Mainframe DFSMS — Advanced
Total Duration: 32 Hours  |  Theory: 16 hrs  |  Lab: 16 hrs
01
Optimizing ACS Routines
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Performance tuning
Reusable logic modules
Complex selection rules
Error handling
02
Advanced Storage Group & Pool Management
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Storage pool design
Volume selection algorithms
Tiered storage implementation
03
SMS and DFSMShsm Integration
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Migration management
Backup and space recovery
DFSMShsm operations in DFSMS environment
04
Monitoring, Auditing & Reporting
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Using SMF for storage activity monitoring
Using DCOLLECT for trend analysis
RMF for capacity planning
32
Total Hours
16
Theory Hrs
16
Lab Hrs
Read-Only · Table of Contents · MF-DFSMS
📄 MF-DFSMS — Enterprise Level
L4
MF-DFSMS
Mainframe DFSMS — Enterprise
Total Duration: 32 Hours  |  Theory: 16 hrs  |  Lab: 16 hrs
01
Expert ACS Routine Development
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Complex ACS routine creation
Advanced logic and automation
Error handling techniques
Dynamic routines and best practices
02
Advanced Storage Pool and Volume Management
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Multi-tier storage pool design
Smart volume management
Capacity optimization
Disaster recovery implementation
03
Integration with Advanced DFSMShsm Features
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Automated hierarchical storage management
Policy tuning and optimization
Recall & migration strategies
Backup and restore techniques
04
Performance Monitoring, Analytics & Troubleshooting
Theory: 4.0 hrs  ·  Lab: 4.0 hrs  ·  Total: 8.0 hrs
Using SMF for performance monitoring
DCOLLECT data analysis
RMF-based performance insights
Proactive management and issue resolution
32
Total Hours
16
Theory Hrs
16
Lab Hrs