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Updated: Aug 31, 2026
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| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Cloud Pak for Data v4.x Solution Architecture |
| Exam Number: | C1000-136 |
| Exam Format: | Case studies, Multiple response, Multiple choice |
| Related Certifications: | IBM Certified Solution Architect - Cloud Pak for Data v4.x |
| Passing Score: | 42 out of 63 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 63 |
| Exam Price: | USD 200 (approx.) |
| Sample Questions: | IBM C1000-136 Sample Questions |
| Exam Way: | Onsite at Pearson VUE or Online proctored exam |
| Pre Condition: | No specific prerequisite exam listed; relevant hands-on experience recommended |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-solution-architect-cloud-pak-for-data-v4x-C0004601 |
The IBM Cloud Pak for Data v4.x Solution Architecture course is a unique, end-to-end course that covers the entire lifecycle of developing and implementing a data lake solution on IBM Cloud Platform. It begins with an overview of the general concepts and terminates with an in-depth look at the architecture and design choices that are needed to create a successful data lake. IBM C1000-136 exam dumps exam study guide helps you prepare for the exam by providing you with the right information about the topics covered in the exam.
This course will provide you with the knowledge and skills you need to successfully develop and implement a data lake solution on IBM Cloud Platform. You'll learn how to bring together multiple existing tools, including Big Data tools such as Hadoop and Spark, along with NoSQL tools such as Cassandra, JSON databases such as MongoDB, and file storage systems such as S3. You'll also see how you can use these tools together to create a complete data lake solution.
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.
The Average salary of different countries for IBM C1000-136 Specialist:
India - INR 7249489 per year
United States - USD 93,000 per year
United Kingdom - Pounds 76070 per year
Reference: https://www.ibm.com/training/certification/C0004601
| Section | Weight | Objectives |
|---|---|---|
| Data Governance | 22% | - Explain the concepts of Knowledge Accelerators - Map business opportunities into a data governance use case - Leverage the platform to understand data flow and usage - Capabilities of a data fabric topology - Explain the use of Guardium in auditing and monitoring data - Use smart ingestion for auto cataloging - Define the Governance structure - Understand how workflow is used in Cloud Pak for Data |
| 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 - Collect, explore, and prepare data for ML/AI algorithms - Differences between traditional programming and machine learning - Build and deploy ML/AI algorithms in Cloud Pak for Data |
| Cloud Pak for Data Architecture | 21% | - Understand Cloud Pak for Data reliability options - Understand the underlying infrastructure and installation - Secure the solution and client data - Understand sizing and deployment options - Understand Cloud Pak for Data reference architecture |
| Machine Learning Operations | 16% | - Workflow of deploying and monitoring models - Manage risk and regulatory compliance using OpenPages - 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 |
| Analytics | 17% | - Capabilities of AI for financial operations in Cloud Pak for Data - 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 |
| Integration, Implementation, Deployment, and Scaling | 10% | - Integrate Business Applications using Cloud Pak for Data - Accelerate the solution using Industry Accelerators and External Data sets - Develop a strategy to monitor the Data and AI platform - Develop process to take a Data and AI solution from inception to production |
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