You need to know the basics of Data v4.x Solution Architecture
IBM Cloud Pak for Data v4.x Solution Architecture is a fully integrated software package that combines the IBM Cloud platform and IBM Analytics solutions. It is designed to help you manage your data throughout its lifecycle, from collection to analysis and analytics, in an agile manner.
The solution architecture provides a comprehensive view of your data through a single pane of glass, enabling you to view all aspects of your data as well as perform analytics on it in real time. The solution architecture also enables you to gain insights into what matters most by identifying patterns within your data that can be used to improve business decisions and operations. IBM C1000-136 exam dumps is designed to provide you with the knowledge you need to pass the IBM C1000-136 exam on the first try.
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.
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Reference: https://www.ibm.com/training/certification/C0004601
IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Pak for Data Architecture | 21% | - Secure the solution and client data - Understand Cloud Pak for Data reference architecture - Understand Cloud Pak for Data reliability options - Understand sizing and deployment options - Understand the underlying infrastructure and installation |
| Topic 2: Build Data Science Algorithms | 14% | - Build and deploy ML/AI algorithms in Cloud Pak for Data - Collect, explore, and prepare data for ML/AI algorithms - Differences between traditional programming and machine learning - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms - Map business opportunities into a Data Science use case |
| Topic 3: Integration, Implementation, Deployment, and Scaling | 10% | - Develop a strategy to monitor the Data and AI platform - Integrate Business Applications using Cloud Pak for Data - Accelerate the solution using Industry Accelerators and External Data sets - Develop process to take a Data and AI solution from inception to production |
| Topic 4: Data Governance | 22% | - Leverage the platform to understand data flow and usage - Use smart ingestion for auto cataloging - Explain the use of Guardium in auditing and monitoring data - Define the Governance structure - Map business opportunities into a data governance use case - Understand how workflow is used in Cloud Pak for Data - Explain the concepts of Knowledge Accelerators - Capabilities of a data fabric topology |
| Topic 5: Analytics | 17% | - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics - Capabilities of business intelligence in Cloud Pak for Data - Map business opportunities into an Analytics use case - Capabilities of AI for financial operations in Cloud Pak for Data |
| Topic 6: Machine Learning Operations | 16% | - Workflow of deploying and monitoring models - Key considerations when selecting a platform for model deployment - Monitor deployed models inside Cloud Pak for Data - Monitor machine learning models running on an external platform - Manage risk and regulatory compliance using OpenPages |
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