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What is the IBM C1000-136 Exam?
IBM C1000-136 Exam is a certification exam that tests your knowledge of the IBM C1000-136 exam. The IBM Cloudpak for Data v4.x Solution Architecture certification exam is designed for those who have at least four years of experience with the IBM Cloudpak for Data v4.x solution architecture framework and who want to deepen their understanding of the subject matter. IBM C1000-136 exam dumps are designed to provide you with the knowledge you need to pass the IBM C1000-136 exam on the first try.
The IBM C1000-136 exam covers all of the material covered in the IBM cloudpak for data v4.x solution architecture framework course as well as additional topics such as how to manage a large scale project, how to use agile techniques, how to use a DevOps approach, how to collaborate with other teams, how to manage security risks, etc.
Reference: https://www.ibm.com/training/certification/C0004601
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What is the target audience of the IBM C1000-136 Exam
The target audience of the IBM C1000-136 exam is mainly composed of IT professionals and IT managers who want to know more about the cloud computing. They can also be applied in any industry that is related to cloud computing.
The IBM C1000-136 exam is designed for individuals who have some knowledge about cloud computing but are not yet qualified enough to enter the industry. The test will help them get a better understanding of what it takes for them to become successful in this field. It also helps them see if they have the right skills and qualifications needed in order to take up a new career path. IBM C1000-136 exam dumps exam study guide provides you with the best way to prepare for the exam.
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.
IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build Data Science Algorithms | 14% | - Build and deploy ML/AI algorithms in Cloud Pak for Data - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms - Differences between traditional programming and machine learning - Map business opportunities into a Data Science use case - Collect, explore, and prepare data for ML/AI algorithms |
| Topic 2: 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 - Integrate Business Applications using Cloud Pak for Data - Develop a strategy to monitor the Data and AI platform |
| Topic 3: Cloud Pak for Data Architecture | 21% | - Understand Cloud Pak for Data reliability options - Understand Cloud Pak for Data reference architecture - Secure the solution and client data - Understand the underlying infrastructure and installation - Understand sizing and deployment options |
| Topic 4: Machine Learning Operations | 16% | - Key considerations when selecting a platform for model deployment - Monitor machine learning models running on an external platform - Workflow of deploying and monitoring models - Monitor deployed models inside Cloud Pak for Data - Manage risk and regulatory compliance using OpenPages |
| Topic 5: Analytics | 17% | - Map business opportunities into an Analytics use case - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics - Capabilities of business intelligence in Cloud Pak for Data - Capabilities of AI for financial operations in Cloud Pak for Data |
| Topic 6: Data Governance | 22% | - Explain the concepts of Knowledge Accelerators - Define the Governance structure - Explain the use of Guardium in auditing and monitoring data - Leverage the platform to understand data flow and usage - Understand how workflow is used in Cloud Pak for Data - Capabilities of a data fabric topology - Map business opportunities into a data governance use case - Use smart ingestion for auto cataloging |
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