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The IBM C1000-136 exam has two different tracks, which are called “Cloud Platform Administration” and “Cloud Service Administration”. The first track focuses on how to manage cloud platforms while the second track focuses on how to manage services offered by clouds. Both tracks contain questions that will help you determine whether or not you have what it takes so that you can decide whether or not you want to pursue further studies in this area or not.
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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.
Reference: https://www.ibm.com/training/certification/C0004601
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Cloud Pak for Data Architecture | 21% | - Understand sizing and deployment options - Understand the underlying infrastructure and installation - Understand Cloud Pak for Data reliability options - Understand Cloud Pak for Data reference architecture - Secure the solution and client data |
| Data Governance | 22% | - Understand how workflow is used in Cloud Pak for Data - Define the Governance structure - Explain the concepts of Knowledge Accelerators - Leverage the platform to understand data flow and usage - Use smart ingestion for auto cataloging - Map business opportunities into a data governance use case - Explain the use of Guardium in auditing and monitoring data - Capabilities of a data fabric topology |
| 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 - Manage risk and regulatory compliance using OpenPages - Monitor machine learning models running on an external platform |
| 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 - Differences between traditional programming and machine learning - Build and deploy ML/AI algorithms in Cloud Pak for Data - Collect, explore, and prepare data for ML/AI algorithms |
| Integration, Implementation, Deployment, and Scaling | 10% | - Accelerate the solution using Industry Accelerators and External Data sets - Develop process to take a Data and AI solution from inception to production - Develop a strategy to monitor the Data and AI platform - Integrate Business Applications using Cloud Pak for Data |
| Analytics | 17% | - Capabilities of AI for financial operations in Cloud Pak for Data - Capabilities of business intelligence in Cloud Pak for Data - Map business opportunities into an Analytics use case - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics |
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