C1000-119
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C1000 119 Cloud SRE
The IBM Certified Professional SRE – Cloud v2 course teaches observability, incident management, automation, security, and resilience for cloud services, enabling candidates to design, analyze, and implement reliable, scalable solutions.
90
Minutes
62
Questions
62/100
Passing Score
$200
Exam Cost
Who Should Take This
It is intended for site reliability engineers, DevOps professionals, and cloud architects with at least two years of operational experience who seek to validate their expertise in building and maintaining high‑availability cloud platforms. Learners aim to deepen strategic understanding of monitoring, incident response, automation pipelines, security controls, and capacity planning to advance their careers.
What's Covered
1
Domain 1: Observability and Monitoring
2
Domain 2: Incident Management and Reliability
3
Domain 3: Infrastructure Automation
4
Domain 4: Security Operations
5
Domain 5: Resilience and Capacity
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
60 learning goals
1
Domain 1: Observability and Monitoring
3 topics
Infrastructure Monitoring
- Configure IBM Cloud Monitoring with Sysdig for infrastructure and application performance monitoring across VPC and Kubernetes workloads.
- Implement custom metrics collection and multi-condition alerting policies using IBM Cloud Monitoring dashboards and notification channels.
- Configure golden signal monitoring for latency, traffic, errors, and saturation across distributed microservice application architectures.
- Implement Prometheus-compatible metrics collection from Kubernetes workloads with custom recording rules and alert expressions.
- Analyze monitoring data to identify performance bottlenecks, resource saturation points, and capacity planning requirements.
- Design comprehensive monitoring strategies with dashboard hierarchies, alert routing trees, and escalation policies for enterprise SRE.
Log Management
- Configure IBM Cloud Log Analysis for centralized log collection, structured parsing, and tiered retention across distributed systems.
- Implement log-based alerting and anomaly detection using pattern matching, threshold rules, and cross-service correlation queries.
- Configure log streaming to Cloud Object Storage and Event Streams for long-term archival and real-time processing pipelines.
- Analyze log patterns to troubleshoot cascading application failures, infrastructure degradation, and service timeout chains.
- Design log aggregation architectures with retention policies, compliance data residency requirements, and cost optimization strategies.
Audit and Tracing
- Configure Activity Tracker for auditing API calls, resource lifecycle events, and security activities across IBM Cloud accounts.
- Implement distributed tracing for microservice request flows using correlation identifiers and service dependency mapping tools.
- Configure event routing from Activity Tracker to Cloud Object Storage and Event Streams for compliance archival workflows.
- Analyze audit trails and distributed trace data to investigate security incidents, compliance violations, and performance anomalies.
- Configure event routing from Activity Tracker to Cloud Object Storage and Event Streams for compliance archival workflows.
2
Domain 2: Incident Management and Reliability
2 topics
Incident Response
- Implement incident response procedures using monitoring alerts, PagerDuty integration, and automated escalation notification workflows.
- Configure automated incident detection and remediation using runbooks, Cloud Functions, and self-healing automation scripts.
- Implement incident classification with severity levels, communication templates, and stakeholder notification routing procedures.
- Analyze incident patterns and postmortem data to identify systemic reliability issues and prioritize improvement opportunities.
- Design incident management frameworks with SLO-based triggers, error budgets, and blameless postmortem review processes.
Service Level Management
- Implement service level objectives and indicators using IBM Cloud Monitoring metrics, synthetic checks, and availability calculations.
- Configure error budget tracking and burn-rate alerting to balance reliability targets with feature development velocity.
- Implement SLO-based release approval gates with automated quality checks and deployment freeze trigger mechanisms.
- Analyze SLO performance trends across services to identify reliability degradation risks and recommend architectural changes.
- Design SLO hierarchies for microservice architectures with dependency mapping and cascade failure prevention strategies.
3
Domain 3: Infrastructure Automation
2 topics
Infrastructure as Code
- Implement infrastructure as code using IBM Cloud Schematics with Terraform for reproducible multi-environment provisioning.
- Configure Terraform module composition with remote state management, variable parameterization, and cross-stack output chaining.
- Implement Schematics workspace management with environment separation, RBAC access controls, and approval workflows.
- Analyze infrastructure drift and configuration compliance using Schematics state management and plan-apply validation cycles.
- Design infrastructure automation strategies with modular Terraform configurations, policy-as-code guardrails, and pipeline integration.
CI/CD and Deployment
- Configure Continuous Delivery toolchains with Tekton pipelines for automated build, test, and deployment orchestration workflows.
- Implement blue-green and canary deployment strategies using Kubernetes Service and OpenShift traffic routing mechanisms.
- Configure GitOps workflows with ArgoCD for declarative application deployment and configuration drift reconciliation.
- Analyze deployment pipeline metrics including lead time, failure rate, and recovery time to identify optimization opportunities.
- Design progressive delivery pipelines with automated rollback, feature flag integration, and deployment verification gate strategies.
4
Domain 4: Security Operations
2 topics
Identity and Access
- Configure IAM access policies with least-privilege principles using access groups, trusted profiles, and context-based restrictions.
- Implement secrets management using Secrets Manager with automatic rotation, dynamic secrets, and application binding integration.
- Configure service-to-service authorization using trusted profiles and API key lifecycle management for automated workflows.
- Analyze access patterns and privilege usage data to optimize IAM policies and detect anomalous authorization activity.
- Design identity governance frameworks with role-based access models, periodic access reviews, and automated deprovisioning.
Compliance and Vulnerability
- Configure Security and Compliance Center for continuous monitoring with industry profiles, drift detection, and remediation tracking.
- Implement automated compliance remediation using Schematics actions triggered by Security and Compliance Center findings.
- Configure container image scanning and Kubernetes admission policies for cluster security posture management.
- Analyze security posture reports and vulnerability assessment data to prioritize remediation across cloud infrastructure.
- Design security operations workflows with automated remediation pipelines, compliance reporting, and audit trail management.
5
Domain 5: Resilience and Capacity
3 topics
High Availability
- Configure multizone high availability for VPC workloads using load balancers, placement groups, and auto-scaling group policies.
- Implement Kubernetes cluster HA with multizone worker pools, pod disruption budgets, and rolling update deployment strategies.
- Configure database high availability using IBM Cloud Databases replication, automatic failover, and scheduled backup retention.
- Analyze failure modes and blast radius impacts to design resilient architectures with appropriate redundancy and isolation boundaries.
- Implement storage replication for Object Storage and block volumes across availability zones for data durability protection.
Disaster Recovery
- Implement cross-region disaster recovery using storage replication, database failover, and DNS-based traffic management controls.
- Configure automated recovery testing procedures with scheduled failover drills and recovery time objective validation.
- Analyze recovery point and recovery time objectives to identify gaps between business requirements and technical capabilities.
- Design chaos engineering experiments and game day exercises to validate system resilience under realistic failure conditions.
Capacity and Cost
- Implement resource quota management and capacity reservations for predictable workload performance on IBM Cloud infrastructure.
- Configure auto-scaling policies for Kubernetes clusters, virtual servers, and Code Engine workloads based on demand patterns.
- Implement cost allocation tagging and usage reporting for multi-team environments with chargeback and showback models.
- Analyze resource utilization trends and cost data to generate capacity planning forecasts and right-sizing recommendations.
- Design capacity management strategies with demand forecasting models, burst handling policies, and cost-performance optimization.
Scope
Included Topics
- All domains of IBM Cloud Professional SRE v2 (C1000-119): observability, incident management, reliability, automation, security, and resilience.
- IBM Cloud observability: Monitoring with Sysdig, Log Analysis, Activity Tracker, distributed tracing, and Prometheus metrics.
- SRE practices: SLOs, SLIs, error budgets, incident response, postmortems, and chaos engineering on IBM Cloud.
- Infrastructure automation: Schematics, Terraform, CI/CD toolchains, Tekton, GitOps, and progressive delivery.
- Security operations: IAM, Secrets Manager, Key Protect, Security and Compliance Center, and container security.
- Resilience: high availability, disaster recovery, capacity planning, auto-scaling, and cost optimization.
Not Covered
- Application development specifics.
- IBM Cloud Pak deep configuration.
- Third-party monitoring tools.
- Network protocol internals.
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