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For more info read reference:
Learn about the IBM C1000-136 Exam
IBM Cloud Pak for Data v4.x Solution Architecture is an exam for IT professionals who are required to update their knowledge in the field of IBM Cloud Pak for Data v4.x Solution Architecture and work with it.
IBM Cloud Pak for Data v4.x Solution Architecture Exam consists of multiple-choice questions and True/False questions. You need at least 60% marks or above to pass this exam and get the certificate, along with 100% passing rate guarantee from certification Questions Test Prep, which is an expert in developing and publishing full-scale exams for all types of certification exams, including IT certification exams such as IBM Cloud Pak for Data v4.x Solution Architecture Certification Exam Study Guide: Learning Paths, Practice Questions, and Exam Tips. IBM C1000-136 exam dumps are designed by our experts and tested by our team of experts, so you can rest assured that you are getting the best preparation materials for the IBM C1000-136 exam.
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.
Reference: https://www.ibm.com/training/certification/C0004601
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning Operations | 16% | - Workflow of deploying and monitoring models - Monitor deployed models inside Cloud Pak for Data - Key considerations when selecting a platform for model deployment - Monitor machine learning models running on an external platform - Manage risk and regulatory compliance using OpenPages |
| Data Governance | 22% | - Capabilities of a data fabric topology - Use smart ingestion for auto cataloging - Explain the concepts of Knowledge Accelerators - Leverage the platform to understand data flow and usage - Explain the use of Guardium in auditing and monitoring data - Understand how workflow is used in Cloud Pak for Data - Map business opportunities into a data governance use case - Define the Governance structure |
| Analytics | 17% | - Map business opportunities into an Analytics use case - Capabilities of business intelligence in Cloud Pak for Data - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics - Capabilities of AI for financial operations in Cloud Pak for Data |
| Integration, Implementation, Deployment, and Scaling | 10% | - Develop a strategy to monitor the Data and AI platform - Develop process to take a Data and AI solution from inception to production - Integrate Business Applications using Cloud Pak for Data - Accelerate the solution using Industry Accelerators and External Data sets |
| Cloud Pak for Data Architecture | 21% | - Secure the solution and client data - Understand the underlying infrastructure and installation - Understand Cloud Pak for Data reliability options - Understand Cloud Pak for Data reference architecture - Understand sizing and deployment options |
| Build Data Science Algorithms | 14% | - 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 - 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 |






