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Instructions to register and schedule your IBM C1000-136 Exam
Go to the IBM Cloud Pak for Data v4.x Solution Architecture website and click on the “Register” link in the top right corner of the page.
A registration form will appear, fill in all fields and choose a username and password that you'll use to access your account when you are logged into IBM Cloud Pak for Data v4.x Solution Architecture, then click “Sign Up” button.
You will be taken to a page where you can create an account or log into an existing one if you have one created before. If you have not yet created an account, click “Create Account” button and follow the instructions on screen to create one for yourself.
How much does the IBM C1000-136 Exam cost?
IBM C1000-136 Exam cost is 250 USD.
Reference: https://www.ibm.com/training/certification/C0004601
Get to know about the Key Features of the IBM Cloud Pak for Data v4.x Solution Architecture Certification
The IBM Cloud Pak for Data v4.x Solution Architecture certification helps you to understand the key features of the IBM Cloud Pak for Data v4.x solution architecture. With this certification, you will be able to understand how the solution architecture works and what are its key components.
The IBM Cloud Pak for Data v4.x solution is a complete data lake that provides a single source of truth for all analytics applications and data. It is designed to meet the needs of business users who want to run their own analytics or use pre-built analytic tools within their own environments, whether they're on premises or in the cloud. IBM C1000-136 exam dumps can also be used by students who want to enter the IT industry.
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance and Platform Management | 22% | - High availability and disaster recovery - Platform monitoring, logging, and maintenance - Policy enforcement and access control - Data cataloging and metadata management |
| Topic 2: Data Services and Integration | 26% | - Data ingestion, transformation, and integration - Data virtualization and connectivity - Storage options and data lifecycle management |
| Topic 3: Cloud Pak for Data Architecture and Planning | 28% | - Security, authentication, and data protection - Reference architecture and components - Deployment options and infrastructure requirements - Sizing, scalability, and reliability design |
| Topic 4: AI and Analytics Implementation | 24% | - Business intelligence and analytics solutions - Machine learning workflow and tooling - Data preparation and model development - Model deployment, monitoring, and governance |
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