PDF Version DemoWhat 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.
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Simulation test system
It is necessary to strictly plan the reasonable allocation of C1000-136 test time in advance. Many students did not pay attention to the strict control of time during normal practice, which led to panic during the process of examination, and even some of them are not able to finish all the questions. If you purchased IBM Cloud Pak for Data v4.x Solution Architecture learning tool, each of your mock exams is timed automatically by the system. C1000-136 exam learning materials provide you with an exam environment that is exactly the same as the actual exam. It forces you to learn how to allocate exam time so that the best level can be achieved in the examination room. At the same time, C1000-136 test question will also generate a report based on your practice performance to make you aware of the deficiencies in your learning process and help you develop a follow-up study plan so that you can use the limited energy where you need it most. So with C1000-136 study tool you can easily pass the exam.
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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.
What are the main benefits of IBM C1000-136 Certification
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.
Reference: https://www.ibm.com/training/certification/C0004601
IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance | 22% | - Leverage the platform to understand data flow and usage - Understand how workflow is used in Cloud Pak for Data - Explain the use of Guardium in auditing and monitoring data - Define the Governance structure - Use smart ingestion for auto cataloging - Explain the concepts of Knowledge Accelerators - Map business opportunities into a data governance use case - Capabilities of a data fabric topology |
| Topic 2: 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 - Collect, explore, and prepare data for ML/AI algorithms - Build and deploy ML/AI algorithms in Cloud Pak for Data |
| Topic 3: 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 |
| Topic 4: Cloud Pak for Data Architecture | 21% | - Understand the underlying infrastructure and installation - Secure the solution and client data - Understand sizing and deployment options - Understand Cloud Pak for Data reference architecture - Understand Cloud Pak for Data reliability options |
| Topic 5: Analytics | 17% | - Capabilities of AI for financial operations in Cloud Pak for Data - Capabilities of business intelligence in Cloud Pak for Data - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics - Map business opportunities into an Analytics use case |
| Topic 6: Machine Learning Operations | 16% | - Monitor deployed models inside Cloud Pak for Data - Monitor machine learning models running on an external platform - Workflow of deploying and monitoring models - Manage risk and regulatory compliance using OpenPages - Key considerations when selecting a platform for model deployment |
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