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How difficult is the IBM C1000-136 Exam?
The IBM C1000-136 exam is a difficult exam. The exam is not only testing the student's knowledge about the subject, but also testing their skills and abilities. It is a mixture of multiple-choice questions and C++ programming questions.
The C1000-136 exam has complex programming concepts, such as pointers, arrays, structures and functions. The student needs to learn how to use these concepts in order to deal with the complexity of the IBM C1000-136 exam.
The IBM C1000-136 certification exams are difficult because there are no shortcuts or tricks that can be used by the student during this process. It is important for the students to practice as much as possible before taking the test so that they will be able to manage their time well during this process. Students should visit various websites that provide free practice questions and answers so that they can prepare themselves better before taking their exams. IBM C1000-136 exam dumps is one of the most popular online resources that can be used by students.
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 strong knowledge of system development and deployment methodologies.
A certified IT professional with four to five years of experience.
Familiarity with basic Java programming and scripting language, such as JavaScript, JQuery or PHP.
Reference: https://www.ibm.com/training/certification/C0004601
Get to know about the Key Features of the IBM Cloud Pak for Data v4.x Solution Architecture Certification
The IBM Cloud Pak for Data v4.x Solution Architecture certification helps you to understand the key features of the IBM Cloud Pak for Data v4.x solution architecture. With this certification, you will be able to understand how the solution architecture works and what are its key components.
The IBM Cloud Pak for Data v4.x solution is a complete data lake that provides a single source of truth for all analytics applications and data. It is designed to meet the needs of business users who want to run their own analytics or use pre-built analytic tools within their own environments, whether they're on premises or in the cloud. IBM C1000-136 exam dumps can also be used by students who want to enter the IT industry.
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics | 17% | - 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 - Capabilities of AI for financial operations in Cloud Pak for Data |
| Topic 2: Data Governance | 22% | - Understand how workflow is used in Cloud Pak for Data - Capabilities of a data fabric topology - Explain the use of Guardium in auditing and monitoring data - Explain the concepts of Knowledge Accelerators - Leverage the platform to understand data flow and usage - Define the Governance structure - Map business opportunities into a data governance use case - Use smart ingestion for auto cataloging |
| Topic 3: Build Data Science Algorithms | 14% | - 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 - 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 |
| Topic 4: Machine Learning Operations | 16% | - Workflow of deploying and monitoring models - Monitor machine learning models running on an external platform - Manage risk and regulatory compliance using OpenPages - Monitor deployed models inside Cloud Pak for Data - Key considerations when selecting a platform for model deployment |
| Topic 5: Cloud Pak for Data Architecture | 21% | - Secure the solution and client data - 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 |
| Topic 6: Integration, Implementation, Deployment, and Scaling | 10% | - Develop a strategy to monitor the Data and AI platform - Integrate Business Applications using Cloud Pak for Data - Accelerate the solution using Industry Accelerators and External Data sets - Develop process to take a Data and AI solution from inception to production |
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