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IBM C1000-136 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Cloud Pak for Data v4.x Solution Architecture |
| Exam Number: | C1000-136 |
| Passing Score: | 42 out of 63 |
| Exam Duration: | 90 minutes |
| Exam Format: | Case studies, Multiple choice, Multiple response |
| Available Languages: | English |
| Related Certifications: | IBM Certified Solution Architect - Cloud Pak for Data v4.x |
| Real Exam Qty: | 63 |
| Exam Price: | USD 200 (approx.) |
| 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 |
IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integration, Implementation, Deployment, and Scaling | 10% | - Accelerate the solution using Industry Accelerators and External Data sets - Develop process to take a Data and AI solution from inception to production - Develop a strategy to monitor the Data and AI platform - Integrate Business Applications using Cloud Pak for Data |
| Data Governance | 22% | - Explain the concepts of Knowledge Accelerators - Use smart ingestion for auto cataloging - Understand how workflow is used in Cloud Pak for Data - Capabilities of a data fabric topology - Leverage the platform to understand data flow and usage - Map business opportunities into a data governance use case - Define the Governance structure - Explain the use of Guardium in auditing and monitoring data |
| Cloud Pak for Data Architecture | 21% | - Secure the solution and client data - Understand the underlying infrastructure and installation - Understand Cloud Pak for Data reference architecture - Understand sizing and deployment options - Understand Cloud Pak for Data reliability options |
| Build Data Science Algorithms | 14% | - 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 - Map business opportunities into a Data Science use case - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms |
| Analytics | 17% | - Map business opportunities into an Analytics use case - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics - Capabilities of business intelligence in Cloud Pak for Data - Capabilities of AI for financial operations in Cloud Pak for Data |
| Machine Learning Operations | 16% | - Key considerations when selecting a platform for model deployment - Manage risk and regulatory compliance using OpenPages - Monitor deployed models inside Cloud Pak for Data - Workflow of deploying and monitoring models - Monitor machine learning models running on an external platform |
IBM Cloud Pak for Data v4.x Solution Architecture Exam: Answers Before You Commit
IBM Cloud Pak for Data v4.x Solution Architecture is an official IBM exam, identified by exam code C1000-136. Passing it earns the IBM Certification certification. It also relates to IBM Certified Solution Architect - Cloud Pak for Data v4.x. Certifications like this one remain a reliable route to standing out: they prove ability in a way resumes alone cannot.
The IBM Cloud Pak for Data v4.x Solution Architecture exam contains 63 questions to complete within 90 minutes. The candidates who run out of time are usually the ones who never practiced against a clock. The TestsDumps software engine lets you limit your test time exactly like the real exam, exposing pacing weaknesses while they are still free to fix.
You need 42 out of 63 to pass IBM Cloud Pak for Data v4.x Solution Architecture, and the official registration fee is USD 200 (approx.). Retakes charge the full USD 200 (approx.) again, which makes failing a genuinely expensive outcome. Reduce that risk the rational way: practice with the TestsDumps questions until your scores sit consistently above the requirement, then book.
No specific prerequisite exam listed; relevant hands-on experience recommended
Vendor requirements change from time to time, so verify the current conditions before registering via the official exam page.
Yes. You can download the free demo of the IBM Cloud Pak for Data v4.x Solution Architecture questions before you buy, and after purchase you have the right to one year of free updates. When your product expires, extending the update service costs 50% of the regular price. Three versions, PDF, software, and online APP, let you study the way that suits you.
A 100% money-back guarantee protects you under clear conditions. Take the IBM Cloud Pak for Data v4.x Solution Architecture exam within 60 days of purchase; if you fail, you can claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, while keeping the update service on your original purchase.
Delivery is instant: files unlock for download at payment and are automatically emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, available 24/7. Installation is unlimited across your computers.
The IBM Cloud Pak for Data v4.x Solution Architecture syllabus divides into 6 domains. The leading areas are Data Governance (22%), Analytics (17%), and Integration, Implementation, Deployment, and Scaling (10%). The complete outline is published above; knowing your shortcomings starts with knowing the syllabus.
IBM Cloud Pak for Data v4.x Solution Architecture Sample Questions:
What does an Al and Machine Learning model lifecycle catalog need to establish verifiability in the lifecycle?
- A. Training outputs and logs related to a model's bias and ethical checks.
- B. Scripts that were used to transform and enrich the data.
- C. Integration with the AlOps (DevOps for AI/ML) process used.
- D. Model source code, current and previous versions.
Correct Answer: A 🗳️
When using Azure ML service with Watson OpenScale, which file format must be used for web service deployments?
- A. XML
- B. JSON
- C. YAML
- D. CSV
Correct Answer: B 🗳️
Which Cloud Pak for Data tool automatically analyzes tabular data and generates candidate model pipelines?
- A. Data Refinery
- B. Dashboard Editor
- C. RStudio
- D. AutoAl
Correct Answer: D 🗳️
Which is a feature of Planning Analytics?
- A. Natural Language Processing (NLP) in-memory data to train the model
- B. In-memory multidimensional OLAP cubes
- C. In-memory Informix database for deep analytics
- D. In-memory statistical modeling
Correct Answer: B 🗳️
Which two can be promoted to a deployment space?
- A. Unsaved machine learning models
- B. Saved machine learning models
- C. Platform connections
- D. Planning Analytics Workspace
- E. Data Refinery flows and dependent assets
Correct Answer: B,E 🗳️
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