Number of questions: 60
Number of questions to pass: 42
Time allowed: 90 mins
Status: Live
An IBM Certified Solution Architect – Cloud Pak for Data V2.5 is a person who can design, plan and architect a Cloud Solution. They can do this with limited assistance from support, documentation, and/or relevant subject matter experts.
During exam development, the Subject Matter Experts (SMEs) define all of the tasks, knowledge and experience that an individual would need in order to successfully fulfill their role with the product or solution. The exam item writers use these objectives to develop the question that will appear on the exam.
Section 1: OpenShift Container Platform Architecture 22%
Understand OpenShift Container Platform Architecture Environment
Section 2: Cloud Pak for Data Architecture 31%
Understanding Licensing / entitlement and controls
Understanding Cloud Pak for Data Reliability Architecture
Understanding how to secure the system and client data
Understand Cloud Pak for Data Services architecture
Section 3: Planning 24%
Understanding available Services for architecting a solution
Identify networking and operation system requirements needed by a solution
Identify key requirements and considerations for designing a solution
Section 4: Cloud Pak Data Services and Functionality 23%
Describe ways to collect data
Describe how DataOps helps to ingest, organize and govern data
Understand the available analytics and AI functionality
Understand the purpose of the Industry Accelerators
The sample test is designed to give the candidate an idea of the content and format of the questions that will be on the certification exam. Performance on the sample test is NOT an indicator of performance on the certification exam. This should not be considered an assessment tool.
Sample Test for Test C1000-066
Use the study guide to help pass this exam. A study guide is an easy to follow document that will help you prepare for this exam. The guide is free and can be downloaded immediately.
Study Guide PDF here
This exam has an Assessment Exam option: A1000-066 Assessment: IBM Cloud Pak for Data Solution Architect V2.5
Assessment exams are web-based exams that provides you, at a cheaper costs, the ability to check your skills before taking the certification exam.
This assessment exam is available in: English
Passing the exam does not award you a certification, and it is only used to help you assess if you are ready or not to take the certification exam.
You can register for it at Pearson VUE and it will provide you a score report, showing you how you did in each section.
Learning Path
Solution Architect: IBM Cloud Pak for Data
Build skills to discover the use of the IBM Cloud Pak for Data platform, build foundational knowledge and expand to more advanced topics.
Openshift Technical Review
OpenShift Container Platform Technical Overview. High level introduction of the components that make up OpenShift container Platform
Web Based Training
Containers and Kubernetes Essentials with IBM Cloud
Get hands-on experience with Kubernetes container orchestration. Learn how Kubernetes and IBM Cloud Kubernetes Service help you more easily deploy and scale containers and applications.
Cloud Pak for Data Community
Engage with the other members of your community to better use the product to collect, organize, and analyze your data to accelerate the value of data science and AI in your own environment.
OpenShift Technical Overview
OpenShift Container Platform Techincal Overview. High level introduction of the components that make up OpenShift container Platform
Cloud Pak for Data – Foundations (eLearning class)
This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform.
DataOps Manifesto
Through firsthand experience working with data across organizations, tools, and industries we have uncovered a better way to develop and deliver analytics that we call DataOps.
Accessing Remote tables
IBM Cloud Private for Data provides a secured and governed analytics platform that does not require you to move data. It is a common framework across multiple clouds to deploy analytic services for data collection, governance and data science.
Watson Machine Learning
IBM Watson Machine Learning is an IBM Cloud service that’s available through IBM Watson Studio.
Watson Studio
IBM Watson Studio, part of IBM Watson, can help you increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
Open Shift Architecture
OpenShift v3 is a layered system designed to expose underlying Docker-formatted container image and Kubernetes concepts as accurately as possible, with a focus on easy composition of applications by a developer.
Watson Knowledge Catalog
IBM Watson Knowledge Catalog is part of IBM Watson. It’s a secure enterprise catalog to index, classify, and govern your data wi
Cloud Oak for Data Announcement letter. v2.5
IBM Cloud Pak for Data V2.5 delivers data and AI platform for hybrid multicloud on Red Hat OpenShift, featuring open source governance and AutoAI
OpenScale
IBM Watson OpenScale is the open platform to operate and automate AI across its lifecycle. With Watson OpenScale, eliminate barriers to enterprise-scale AI, increase business confidence in outcomes, and operationalize your AI, on any cloud.
OpenShift SubSystems
Our Interactive Learning Scenarios provide you with a pre-configured OpenShift® instance, accessible from your browser without any downloads or configuration. Use it to experiment, learn OpenShift and see how we can help solve real-world problems.
Data Virtualization (eLearning class)
This learning offering will focus on the Data Virtualization add-on to IBM Cloud Pak for Data. Students will learn about the Data Virtualization technology and be able to create connections to remote data sources.
Decision Optimization (eLearning class)
IBM Decision Optimization allows you to run optimization models in IBM Cloud Private for Data, with a user-friendly environment in which you can combine optimization with data science.
Cognos Analytics: Dashboarding and Reporting (eLearning class)
This offering provides analysts with an introduction to create dashboards with Cloud Pak for Data, and create dashboards and reports using the Cognos Analytics add-on.
Cloud Pak for Data Knowledge Center
IBM® Cloud Pak for Data is a native cloud solution that provides a single unified interface for your team to connect to your data no matter where it lives, govern it, find it, and use it for analysis.
SPSS Modeler Foundations (eLearning class)
SPSS Modeler is one of the add-on modules on IBM Cloud Pak for Data. This course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler on Cloud Pak for Data.
Industry Accelerators
The industry accelerators that are provided by IBM are a set of artifacts that help you address common business issues.
Review Cloud Pak for Data on a 7-14 day trial
Explore this flexible multicloud data platform with free access to a hosted environment. This experience includes a guided journey where you will learn how to collect, organize, and analyze your data to build AI-powered applications.
Streaming Analytics
Perform real-time analysis on data in motion as part of your IBM Cloud applications by using IBM® Streaming Analytics for IBM Cloud.
Networking with OpenShift Enterprise 3.1
Learn how OpenShift Enterprise 3.1 by Red Hat provides powerful networking and gives your applications and services dynamic availability.
OpenShift Playground (Experiment with OpenShift)
This is a playground for trying out OpenShift 3.11. From here you can play with OpenShift using the web console or command line.
Web Resource
Cloud Pak for Data – Dashboards
The badge earner is familiar with creating analytics dashboards to visualize data in IBM Cloud Pak for Data and knows how to share dashboards with colleagues in their enterprise. The individual can use templates to easily arrange and align their dashboard content and can employ different kinds of visualizations and maps in their dashboards. The badge earner is familiar with using widgets in dashboards, and can also filter, sort, calculate, and format data in dashboards.
Cloud Pak for Data – Modeling
The successful badge earner is familiar with the platform and architecture of IBM Cloud Pak for Data, and demonstrates a comprehension of the workflow, projects, models, scripts, and jobs. This individual understands the machine learning environment, can deploy analytical models, and perform basic administrative functions. The badge earner is familiar with the tasks of the various personas, with a special emphasis on tasks performed by the data scientist in a real-world, working environment.
Cloud Pak for Data Essentials
The successful badge earner can demonstrate comprehension for the platform and architecture of IBM Cloud Pak for Data, and the workflow and collaboration between the personas. The earner can access the various supported data sources, and can catalog, govern, and perform extract, transform, and load (ETL) on that data. The badge earner can also perform basic administrative tasks, set up projects, and analyze the data.
Cloud Pak for Data – Data Governance
The badge earner is familiar with the enterprise information in IBM Cloud Pak for Data. This individual can logically structure enterprise information, discover relationships between assets, and ensure that the data is perpetually current. This individual understands how to create and import a data dictionary, edit and govern assets, and use collections. The badge earner is familiar with the tasks of the various personas, specifically those involved within the workflow.
Cloud Pak for Data – Data Access and Transformation
The badge earner is familiar with the platform and architecture of IBM Cloud Pak for Data, and demonstrates a comprehension of data pipelines, connecting data sources, and creating data views. This individual can manipulate catalog metadata, configure data sources, automate business rules, and prepare data for analysis. The badge earner is familiar with the tasks of the various personas, with a special emphasis on tasks performed by the data engineer in a real-world, working environment.
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