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Get to know about the benefits of the IBM C1000-136 Certification
The IBM C1000-136 Certification is a certification that can be obtained in order to show your knowledge and competence in the field of cloud computing. The IBM C1000-136 Certification has been designed to test your knowledge of the latest technologies in this area, such as cloud computing and DevOps. This type of certification is also known as Cloud Certifications or Cloud Certifications.
When it comes to cloud computing, every organization needs to make sure they have the right tools and knowledge at their disposal in order to be successful. This is why many organizations are now offering cloud certifications for their employees in order to help them become more efficient when working with cloud technologies.
The best part about these types of certifications is that they offer plenty of benefits for both employers and employees alike. For example, employers can use these types of certifications as an indicator that their employees are actually up-to-date on all things related to cloud computing. In addition, employees will also benefit from these types of certifications because they will be able to learn new skills that will help them advance within their career path. IBM C1000-136 exam dumps is one of the most popular certifications that can be used to help people advance in their career.
What are the prerequisites for IBM C1000-136 Exam
Candidates must pass IBM Cloud pak for data v4.x administration to get the certification.
The prerequisites for the IBM C1000-136 exam are as follows:
A certified IT professional with four to five years of experience.
A strong knowledge of system development and deployment methodologies.
Familiarity with basic Java programming and scripting language, such as JavaScript, JQuery or PHP.
Reference: https://www.ibm.com/training/certification/C0004601
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analytics | 17% | - 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 - Map business opportunities into an Analytics use case |
| Cloud Pak for Data Architecture | 21% | - Understand Cloud Pak for Data reference architecture - Understand Cloud Pak for Data reliability options - Secure the solution and client data - Understand sizing and deployment options - Understand the underlying infrastructure and installation |
| 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 |
| Machine Learning Operations | 16% | - Monitor deployed models inside Cloud Pak for Data - Manage risk and regulatory compliance using OpenPages - Monitor machine learning models running on an external platform - Workflow of deploying and monitoring models - Key considerations when selecting a platform for model deployment |
| Data Governance | 22% | - Understand how workflow is used in Cloud Pak for Data - Use smart ingestion for auto cataloging - Capabilities of a data fabric topology - Define the Governance structure - Explain the use of Guardium in auditing and monitoring data - Map business opportunities into a data governance use case - Leverage the platform to understand data flow and usage - Explain the concepts of Knowledge Accelerators |
| Build Data Science Algorithms | 14% | - Collect, explore, and prepare data for ML/AI algorithms - 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 - Differences between traditional programming and machine learning |
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