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C1000-186
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C1000-186 IBM Coming Soon

C1000 186 Cloud Technical Seller

The course teaches IBM Certified Technical Seller - Cloud v2 candidates to articulate IBM Cloud’s value, evaluate infrastructure, AI, security, and modernization services, and craft tailored solutions for enterprise customers.

90
Minutes
62
Questions
62/100
Passing Score
$200
Exam Cost

Who Should Take This

It is ideal for sales engineers, solution architects, and technical account managers who have at least two years of experience selling cloud or hybrid‑IT solutions and seek to deepen their product knowledge. These professionals aim to confidently map client requirements to IBM Cloud offerings and earn a recognized credential that validates their technical selling expertise.

What's Covered

1 Domain 1: IBM Cloud Platform and Value Proposition
2 Domain 2: Infrastructure Services
3 Domain 3: AI and Data Services
4 Domain 4: Security and Resiliency
5 Domain 5: Modernization and Industry Solutions

What's Included in AccelaStudy® AI

Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats

Course Outline

63 learning goals
1 Domain 1: IBM Cloud Platform and Value Proposition
3 topics

Cloud Platform Overview

  • Identify IBM Cloud platform service categories including compute, storage, networking, AI, security, and data services with their primary use cases.
  • Describe IBM Cloud deployment models including public cloud, dedicated host, and satellite environments for hybrid and multicloud strategies.
  • Explain IBM Cloud global infrastructure including regions, multizone regions, availability zones, and data centers for workload placement.
  • Analyze customer business requirements to recommend appropriate IBM Cloud deployment models and service categories for their workloads.

Account and Pricing

  • Identify IBM Cloud account types including Lite, Pay-As-You-Go, Subscription, and Enterprise with their capabilities and service limits.
  • Describe IBM Cloud pricing models including reserved capacity, committed use discounts, and pay-as-you-go billing mechanisms.
  • Explain the IBM Cloud cost estimator and billing dashboard for forecasting and tracking customer cloud expenditure.
  • Analyze customer spending patterns and usage requirements to recommend cost-effective IBM Cloud account and pricing structures.

Support and Migration

  • Describe IBM Cloud support plans including Basic, Advanced, and Premium tiers with response times and escalation procedures.
  • Explain IBM Cloud migration tools and services including VMware migration, SAP migration, and application modernization pathways.
  • Identify IBM Garage methodology and cloud advisory services for enterprise digital transformation engagements.
  • Analyze customer migration scenarios to recommend appropriate IBM Cloud migration strategies and professional services.
2 Domain 2: Infrastructure Services
3 topics

Compute Services

  • Identify IBM Cloud VPC compute options including virtual servers, bare metal servers, dedicated hosts, and GPU instances with profiles.
  • Describe IBM Cloud Kubernetes Service and Red Hat OpenShift on IBM Cloud for container orchestration and microservices deployment.
  • Explain IBM Cloud Code Engine for serverless application and job execution with automatic scaling and pay-per-use billing.
  • Describe Power Virtual Server for running AIX, IBM i, and Linux workloads with enterprise-grade virtualization.
  • Analyze customer compute requirements to recommend appropriate IBM Cloud compute services based on workload characteristics and cost.

Storage and Database

  • Identify IBM Cloud storage services including block storage, file storage, and object storage with performance tiers and durability.
  • Explain IBM Cloud Object Storage with storage classes, lifecycle policies, immutable storage, and cross-region replication.
  • Describe IBM Cloud Databases portfolio including Db2, PostgreSQL, MongoDB, Redis, and Elasticsearch with managed service features.
  • Explain Cloudant NoSQL database for document storage with replication, indexing, and query capabilities for web applications.
  • Analyze customer data requirements to recommend appropriate IBM Cloud storage and database services for specific workloads.

Networking

  • Describe VPC networking components including subnets, security groups, network ACLs, floating IPs, and public gateways.
  • Explain IBM Cloud connectivity options including VPN for VPC, Direct Link, and Transit Gateway for hybrid cloud networking.
  • Describe IBM Cloud Internet Services with DDoS protection, WAF, global load balancing, and CDN for internet-facing workloads.
  • Explain IBM Cloud load balancer types including application and network load balancers with listener and pool configurations.
  • Analyze customer networking requirements to recommend appropriate IBM Cloud connectivity and security configurations.
3 Domain 3: AI and Data Services
3 topics

watsonx Platform

  • Identify watsonx platform components including watsonx.ai for foundation models, watsonx.data for lakehouse, and watsonx.governance.
  • Describe watsonx.ai capabilities for prompt engineering, model tuning, and deployment of IBM Granite and third-party foundation models.
  • Explain watsonx.data open lakehouse architecture with Presto, Spark, and Iceberg integration for hybrid data management.
  • Describe watsonx.governance for AI model lifecycle management including bias detection, explainability, and regulatory compliance.
  • Analyze customer AI requirements to recommend appropriate watsonx services and deployment patterns for enterprise use cases.

Watson AI Services

  • Explain watsonx Assistant for building conversational AI solutions with natural language understanding and dialog management.
  • Describe Watson Discovery for intelligent document processing with natural language queries and content mining capabilities.
  • Identify Watson Speech services including Speech to Text and Text to Speech for voice-enabled application integration.
  • Analyze customer conversational AI and document processing needs to recommend appropriate Watson and watsonx services.

Data and Integration Services

  • Describe IBM Cloud data services including DataStage, Data Refinery, and Watson Knowledge Catalog for data governance.
  • Explain IBM Cloud Pak for Data capabilities including data virtualization, data governance, and integrated analytics.
  • Identify IBM Cloud integration services including API Connect, App Connect, MQ, and Event Streams for application connectivity.
  • Analyze customer data integration and analytics needs to recommend IBM Cloud services for end-to-end data workflows.
4 Domain 4: Security and Resiliency
2 topics

Security and Compliance

  • Describe IBM Cloud IAM with users, service IDs, access groups, trusted profiles, and API keys for identity management.
  • Explain Key Protect and Hyper Protect Crypto Services for encryption key management with BYOK and KYOK models.
  • Describe Security and Compliance Center for continuous posture management, regulatory compliance, and automated monitoring.
  • Explain Secrets Manager for centralized management of API keys, credentials, certificates, and dynamic secrets rotation.
  • Analyze customer security and compliance requirements to recommend IBM Cloud security configurations for regulated industries.

Resiliency and Availability

  • Identify IBM Cloud resiliency features including multizone regions, automated backups, snapshots, and disaster recovery options.
  • Explain high availability patterns on IBM Cloud including active-active, active-standby, and global load balancing configurations.
  • Describe IBM Cloud Backup and Veeam integration for automated data protection and point-in-time recovery across services.
  • Analyze customer availability and disaster recovery requirements to recommend appropriate IBM Cloud resiliency architectures.
5 Domain 5: Modernization and Industry Solutions
3 topics

Application Modernization

  • Describe IBM Cloud modernization strategies including containerization, microservices decomposition, and serverless refactoring.
  • Explain IBM Cloud Satellite for extending cloud services to on-premises, edge, and third-party cloud environments.
  • Describe IBM Cloud VMware Solutions for running VMware workloads with automated provisioning and hybrid cloud integration.
  • Explain IBM Cloud for SAP solutions including certified infrastructure profiles and automated SAP deployment capabilities.
  • Analyze customer modernization scenarios to recommend IBM Cloud application transformation approaches and migration paths.

DevOps and Automation

  • Identify IBM Cloud DevOps tools including Continuous Delivery toolchains, Tekton pipelines, and DevOps Insights for CI/CD.
  • Explain IBM Cloud Schematics for Terraform-based infrastructure as code provisioning and workspace configuration management.
  • Describe IBM Cloud monitoring and logging including Monitoring, Log Analysis, and Activity Tracker for operational observability.
  • Analyze customer operational requirements to recommend IBM Cloud automation and observability solutions for enterprise operations.

Industry Solutions and Competitive Positioning

  • Describe competitive differentiation of IBM Cloud for regulated industries including financial services, healthcare, and government sectors.
  • Explain IBM Cloud for Financial Services framework with validated environments and continuous compliance automation capabilities.
  • Identify IBM Cloud partner ecosystem including Red Hat, SAP, and VMware strategic integrations for enterprise solution delivery.
  • Describe IBM Cloud sustainability features including carbon tracking, energy-efficient infrastructure, and environmental reporting.
  • Analyze customer industry requirements to recommend IBM Cloud solutions with compliance frameworks and partner integrations.

Scope

Included Topics

  • All domains of the IBM Cloud Technical Seller v2 (C1000-186) exam: platform overview, value proposition, infrastructure, AI and data services, security, and modernization.
  • IBM Cloud infrastructure: VPC compute, storage, networking, Kubernetes, OpenShift, Code Engine, Power Virtual Server, and serverless computing.
  • IBM watsonx platform: watsonx.ai foundation models, watsonx.data lakehouse, watsonx.governance, Watson Assistant, and Discovery.
  • IBM Cloud security: IAM, Key Protect, Hyper Protect Crypto, Secrets Manager, Security and Compliance Center, and data encryption.
  • IBM Cloud modernization: Satellite, VMware Solutions, containerization, SAP solutions, application transformation, and hybrid cloud.
  • Technical selling: customer requirement analysis, solution recommendation, competitive positioning, pricing, and industry solutions.

Not Covered

  • Deep implementation details for specific programming languages.
  • Advanced Kubernetes internals.
  • Third-party cloud provider detailed pricing.
  • IBM Cloud Pak deep customization.

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