C1000-176
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C1000 176 Cloud Advanced Architect
The IBM Certified Advanced Architect – Cloud v2 exam validates expertise in designing enterprise‑scale cloud solutions, covering advanced network architecture, multi‑cluster OpenShift, zero‑trust security, resilience, performance, and cost governance.
90
Minutes
60
Questions
62/100
Passing Score
$200
Exam Cost
Who Should Take This
Senior cloud architects, platform engineers, and security leads who have several years of experience designing complex, multi‑cloud environments are ideal candidates. They seek to deepen strategic capabilities in network design, OpenShift orchestration, zero‑trust frameworks, and performance optimization. Achieving this certification enables them to guide enterprise cloud transformations, ensure resilience, and drive cost‑effective architectural decisions.
What's Covered
1
Domain 1: Advanced Enterprise Network Architecture
2
Domain 2: Multi-Cluster OpenShift and Platform Engineering
3
Domain 3: Zero-Trust Security and Confidential Computing
4
Domain 4: Resilience and Performance Optimization
5
Domain 5: Cost Governance and Architecture Decision Frameworks
6
Domain 6: Data Mesh and AI Platform Architecture
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: Advanced Enterprise Network Architecture
2 topics
VPC and Multi-Cloud Connectivity
- Design advanced VPC architectures with multiple availability zones, subnets, and security groups for enterprise workloads across IBM Cloud regions
- Analyze Transit Gateway configurations for connecting multiple VPCs, classic infrastructure, and on-premises networks with optimal routing policies
- Implement Direct Link dedicated connections with BGP routing, VLAN tagging, and redundancy for hybrid cloud connectivity
- Evaluate multi-cloud connectivity patterns using IBM Cloud Satellite, AWS Transit Gateway, and Azure ExpressRoute for unified network architecture
Network Security and Segmentation
- Configure network ACLs, security groups, and flow logs for micro-segmentation in enterprise VPC environments with compliance requirements
- Design DNS resolution strategies using IBM Cloud DNS Services with private zones, split-horizon configurations, and conditional forwarding
- Implement Web Application Firewall policies with Cloud Internet Services for DDoS protection, rate limiting, and geo-blocking
- Evaluate network performance optimization techniques including CDN placement, load balancer algorithms, and bandwidth management
2
Domain 2: Multi-Cluster OpenShift and Platform Engineering
2 topics
Advanced Cluster Management
- Deploy Red Hat Advanced Cluster Management for Kubernetes with cluster lifecycle automation, application deployment, and governance policies
- Configure OpenShift GitOps with ArgoCD for multi-cluster application delivery using declarative configuration management and progressive deployment
- Analyze cluster federation strategies for workload distribution, disaster recovery, and compliance across multiple OpenShift clusters
- Evaluate service mesh architectures using Istio for cross-cluster communication, traffic management, and observability in multi-cloud environments
Platform Engineering and Edge Computing
- Implement IBM Cloud Satellite locations for edge computing with local storage, networking, and application deployment capabilities
- Design platform engineering solutions using OpenShift Pipelines, Tekton, and container registry integration for automated CI/CD workflows
- Configure edge workload orchestration with MicroShift, lightweight Kubernetes distributions, and disconnected operation capabilities
- Evaluate container runtime security using Red Hat Quay, image scanning, and policy enforcement for supply chain protection
3
Domain 3: Zero-Trust Security and Confidential Computing
3 topics
Zero-Trust Architecture Implementation
- Design zero-trust network architecture using IBM Cloud Security and Compliance Center with continuous compliance monitoring and policy enforcement
- Implement identity and access management with IBM Security Verify, multi-factor authentication, and conditional access policies for enterprise applications
- Configure privileged access management using CyberArk integration with IBM Cloud for secure credential rotation and session monitoring
- Evaluate endpoint protection strategies using IBM Security MaaS360 and integration with cloud workload protection platforms
Confidential Computing and Compliance
- Implement IBM Cloud Hyper Protect services for confidential computing with secure enclaves, encrypted data processing, and key management
- Configure Key Protect and Hyper Protect Crypto Services for hardware security module integration and FIPS 140-2 Level 4 compliance
- Analyze data classification and protection strategies using IBM Security Guardium for database security and compliance reporting
- Evaluate regulatory compliance frameworks including SOC 2, FedRAMP, and GDPR using IBM Cloud compliance automation tools
Security Monitoring and Incident Response
- Deploy IBM Security QRadar SIEM with cloud-native log aggregation, threat detection, and automated incident response workflows
- Configure vulnerability management using IBM Cloud Security Advisor with container image scanning and infrastructure assessment
- Implement threat intelligence integration with IBM X-Force and external feeds for proactive security monitoring and response
- Evaluate security orchestration and automated response (SOAR) capabilities using IBM Resilient for incident management
4
Domain 4: Resilience and Performance Optimization
3 topics
Multi-Region Active-Active Architecture
- Design active-active multi-region deployments using IBM Cloud availability zones with automated failover and data synchronization
- Implement global load balancing with IBM Cloud Internet Services using health checks, geographic routing, and traffic steering policies
- Configure database replication strategies using IBM Cloud Databases with cross-region backup, point-in-time recovery, and read replicas
- Evaluate disaster recovery automation using IBM Cloud Schematics and Terraform for infrastructure as code deployment
Chaos Engineering and Observability
- Implement chaos engineering practices using Litmus, Gremlin, and IBM Instana for proactive resilience testing and failure injection
- Configure comprehensive observability stack with IBM Instana, Prometheus, Grafana, and distributed tracing for microservices monitoring
- Analyze performance bottlenecks using IBM Cloud Monitoring, application performance monitoring, and infrastructure metrics correlation
- Evaluate site reliability engineering practices including error budgets, service level objectives, and automated remediation workflows
Performance Optimization and Scaling
- Configure horizontal pod autoscaling and vertical pod autoscaling in OpenShift clusters with custom metrics and predictive scaling
- Implement caching strategies using IBM Cloud Memcached, Redis, and CDN integration for application performance optimization
- Analyze workload placement optimization using node affinity, pod anti-affinity, and topology spread constraints in Kubernetes
- Evaluate capacity planning methodologies using historical data, predictive analytics, and automated scaling policies
5
Domain 5: Cost Governance and Architecture Decision Frameworks
2 topics
Financial Operations and Cost Management
- Implement FinOps practices using IBM Cloud Billing and Usage APIs with automated cost allocation, chargeback, and budget management
- Configure resource optimization using IBM Cloud Advisor recommendations for rightsizing, reserved capacity, and spot instance utilization
- Analyze total cost of ownership models comparing on-premises, hybrid, and multi-cloud deployment scenarios with TCO calculators
- Evaluate cloud financial governance frameworks including cost center allocation, budget controls, and executive reporting dashboards
Architecture Decision Frameworks
- Apply architecture decision records (ADRs) methodology for documenting technology choices, trade-offs, and rationale in enterprise systems
- Implement architecture review processes using TOGAF framework, architecture principles, and stakeholder analysis for technology decisions
- Analyze technology selection criteria including vendor assessment, risk evaluation, and strategic alignment with business objectives
- Evaluate architecture governance models including architecture review boards, compliance frameworks, and technology roadmap alignment
6
Domain 6: Data Mesh and AI Platform Architecture
3 topics
Data Mesh Implementation
- Design data mesh architecture using IBM Cloud Pak for Data with domain-oriented data ownership and federated governance
- Implement data product development lifecycle using IBM DataStage, data lineage tracking, and self-service analytics capabilities
- Configure data quality management using IBM Information Server with automated profiling, standardization, and monitoring workflows
- Evaluate data marketplace strategies using IBM Knowledge Catalog for data discovery, sharing, and monetization across business domains
AI Platform Design with watsonx
- Implement watsonx.ai foundation model deployment with model serving, fine-tuning, and prompt engineering for enterprise AI applications
- Configure watsonx.data lakehouse architecture with Apache Iceberg, query federation, and multi-cloud data access optimization
- Analyze MLOps pipeline automation using watsonx.governance with model lifecycle management, bias detection, and explainability features
- Evaluate responsible AI governance frameworks including model risk management, ethical AI principles, and regulatory compliance
Advanced Analytics and Machine Learning
- Deploy real-time analytics platforms using IBM Streams, Apache Kafka, and event-driven architecture for streaming data processing
- Implement federated learning architectures with privacy-preserving machine learning across distributed data sources and edge locations
- Configure AutoML pipelines using IBM AutoAI with automated feature engineering, model selection, and hyperparameter optimization
- Evaluate AI infrastructure scaling strategies including GPU clusters, model parallel processing, and inference optimization techniques
Scope
Included Topics
- All domains of C1000-176 IBM Certified Advanced Architect - Cloud v2: Advanced architecture: enterprise network design with advanced VPC, multi-cloud connectivity, network security; multi-cluster OpenShift management, platform engineering, edge/Satellite computing; zero.
- Exam-specific technical content covering -trust security, confidential computing, compliance at scale; active-active multi-region, chaos engineering, performance optimization; cost governance, architecture decision frameworks; data mesh, AI .
Not Covered
- Topics outside the C1000-176 exam scope and other certification levels.
- Current pricing, promotional offers, and vendor-specific values that change over time.
- Implementation details for competing vendor products and platforms.
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