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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.

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IBM C1000-136 Exam Syllabus Topics:

Topic	Details
Topic 1	Develop a strategy to monitor the Data and AI platform Map business opportunities into a data governance use case
Topic 2	Identify and explain how to collect, explore, and prepare data for ML AI algorithms in Cloud Pak for Data Explain the workflow of deploying and monitoring models
Topic 3	Describe the capabilities of AI for financial operations in Cloud Pak for Data Manage risk and regulatory compliance using Open Pages
Topic 4	Explain the use of Guardium in auditing and monitoring data Understand how workflow is used in Cloud Pak for Data
Topic 5	Develop an appropriate process to take a Data and AI solution from inception to production Leverage the platform to understand data flow and usage
Topic 6	Identify and explain how to build and deploy ML AI algorithms in Cloud Pak for data Integrating Business Applications using Cloud Pak for Data

Reference: https://www.ibm.com/training/certification/C0004601

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