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IBM C1000-136 Exam Questions : IBM Cloud Pak for Data v4.x Solution Architecture
- Exam Code: C1000-136
- Exam Name: IBM Cloud Pak for Data v4.x Solution Architecture
- Updated: Sep 16, 2026
- Q&As: 65 Questions and Answers
About IBM C1000-136 Exam braindumps
Passing the C1000-136 exam isn't as easy as getting a driver's license — but the IBM Cloud Pak for Data v4.x Solution Architecture preparation labs from VCEPrep make it manageable: 65 practice questions for the C1000-136 exam.
IBM C1000-136 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Cloud Pak for Data v4.x Solution Architecture |
| Exam Number: | C1000-136 |
| Exam Format: | Multiple choice, Case studies, Multiple response |
| Exam Price: | USD 200 (approx.) |
| Passing Score: | 42 out of 63 |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Related Certifications: | IBM Certified Solution Architect - Cloud Pak for Data v4.x |
| Real Exam Qty: | 63 |
| 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 |
|---|---|---|
| Topic 1: Integration, Implementation, Deployment, and Scaling | 10% | - Develop process to take a Data and AI solution from inception to production - Integrate Business Applications using Cloud Pak for Data - Develop a strategy to monitor the Data and AI platform - Accelerate the solution using Industry Accelerators and External Data sets |
| Topic 2: Build Data Science Algorithms | 14% | - Build and deploy ML/AI algorithms in Cloud Pak for Data - Collect, explore, and prepare data for ML/AI algorithms - Map business opportunities into a Data Science use case - Differences between traditional programming and machine learning - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms |
| Topic 3: Analytics | 17% | - Capabilities of AI for financial operations in Cloud Pak for Data - Map business opportunities into an Analytics use case - Capabilities of business intelligence in Cloud Pak for Data - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics |
| Topic 4: Data Governance | 22% | - Map business opportunities into a data governance use case - Use smart ingestion for auto cataloging - Explain the concepts of Knowledge Accelerators - Explain the use of Guardium in auditing and monitoring data - Leverage the platform to understand data flow and usage - Define the Governance structure - Understand how workflow is used in Cloud Pak for Data - Capabilities of a data fabric topology |
| Topic 5: Machine Learning Operations | 16% | - Monitor machine learning models running on an external platform - Workflow of deploying and monitoring models - Key considerations when selecting a platform for model deployment - Manage risk and regulatory compliance using OpenPages - Monitor deployed models inside Cloud Pak for Data |
| Topic 6: Cloud Pak for Data Architecture | 21% | - Understand the underlying infrastructure and installation - Understand Cloud Pak for Data reference architecture - Understand sizing and deployment options - Secure the solution and client data - Understand Cloud Pak for Data reliability options |
C1000-136 Exam FAQ — No Limits
The IBM Cloud Pak for Data v4.x Solution Architecture blueprint spans 6 domains — including Build Data Science Algorithms (14%), Analytics (17%), Machine Learning Operations (16%). Work the domains in order of weight; the complete outline above lists every subtopic.
Yes — download the free IBM Cloud Pak for Data v4.x Solution Architecture demo and experience the brand-new learning format before paying. Purchases include 365 days of free updates by email; renew afterward at 50% off.
90 minutes for 63 questions. The VCEPrep PC dumps' simulated test environment builds the pacing you need — practice without limits on time or place.
The IBM Cloud Pak for Data v4.x Solution Architecture is IBM's certification exam for IBM Certification. It's harder than a driver's license test — but brand-new learning ways make it manageable. Related credentials include IBM Certified Solution Architect - Cloud Pak for Data v4.x.
No specific prerequisite exam listed; relevant hands-on experience recommended Eligibility rules change over time, so verify the current requirements on the official page (official C1000-136 exam page) before registering.
USD 200 (approx.) per attempt, 42 out of 63 to pass. Retakes cost the full fee, so prepare thoroughly — the 65 practice questions for the C1000-136 exam at VCEPrep work as your personal think tank.
Upon successful payment, our system emails the IBM Cloud Pak for Data v4.x Solution Architecture material automatically within about a minute — download the PDF at your convenience right away, with 24/7 help if nothing arrives within 2 hours. If you fail the corresponding C1000-136 exam within 60 days of purchase, we return all money: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Prefer a swap? Exchange for two equal-value dumps free. No hassle money.
IBM Cloud Pak for Data v4.x Solution Architecture Sample Questions:
Question #1
Which statement is true about the IBM Cloud Pak for Data supported shared storage types?
- A. Network File System (NFS) storage is automatically configured with IBM Cloud Pak for Data.
- B. Portworx is available with no additional license cost regardless of the quantity of storage assigned.
- C. Red Hat OpenShift Container Storage can be deployed as block, file, and object storage.
- D. IBM Cloud File Storage can be attached to any IBM Cloud Pak for Data deployment.
Correct Answer: B 🗳️
Question #2
Which use case is an example of operationalizing an Al application?
- A. Develop a model and deploy the insights into an existing care management application to identify higher-risk patients
- B. Perform data discovery analysis with hospital re-admittance data
- C. Build a dashboard with KPIs to help a sales organization measure goals and track performance
- D. Set up multidimensional analysis for a manufacturing company looking to improve supplier inventories
Correct Answer: B 🗳️
Question #3
Which service is used to perform descriptive analytics and can answer the question, "what happened in my data?"
- A. Cognos Analytics
- B. Decision Optimization
- C. Watson Machine Learning
- D. SPSS
Correct Answer: B 🗳️
Question #4
Which describes the syntax of a visual programming language?
- A. Color coding and visual indicators in the IDE
- B. Text delimited with parentheses, brackets, or braces
- C. Graphical wizards to generate code in the IDE
- D. Icons, blocks, forms, and diagrams
Correct Answer: D 🗳️
Question #5
What are deployment spaces used for when working with Watson Machine Learning?
- A. Manage Cloud Pak for Data resources
- B. Create and manage deployments for machine learning models
- C. Organize machine learning models into different deployment pods
- D. Create a collaboration space for developers to create work items, bugs, and system documentation
Correct Answer: B 🗳️
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