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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 |
| Exam Format: | Multiple choice, Case studies, Multiple response |
| Exam Duration: | 90 minutes |
| Related Certifications: | IBM Certified Solution Architect - Cloud Pak for Data v4.x |
| Available Languages: | English |
| Real Exam Qty: | 63 |
| Exam Price: | USD 200 (approx.) |
| Passing Score: | 42 out of 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: Machine Learning Operations | 16% | - Monitor machine learning models running on an external platform - Monitor deployed models inside Cloud Pak for Data - Workflow of deploying and monitoring models - Key considerations when selecting a platform for model deployment - Manage risk and regulatory compliance using OpenPages |
| Topic 2: Analytics | 17% | - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics - 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 |
| Topic 3: Build Data Science Algorithms | 14% | - Build and deploy ML/AI algorithms in Cloud Pak for Data - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms - 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 |
| Topic 4: Data Governance | 22% | - Use smart ingestion for auto cataloging - Understand how workflow is used in Cloud Pak for Data - Explain the use of Guardium in auditing and monitoring data - Define the Governance structure - Capabilities of a data fabric topology - Explain the concepts of Knowledge Accelerators - Map business opportunities into a data governance use case - Leverage the platform to understand data flow and usage |
| Topic 5: Cloud Pak for Data Architecture | 21% | - Secure the solution and client data - Understand sizing and deployment options - Understand Cloud Pak for Data reference architecture - Understand Cloud Pak for Data reliability options - Understand the underlying infrastructure and installation |
| Topic 6: 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 |
C1000-136 Exam Facts and Buying Questions
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The C1000-136 exam is the official assessment for the IBM Cloud Pak for Data v4.x Solution Architecture certification from IBM. Across the wide landscape of IT certifications, this credential verifies that you can apply its published objectives in realistic scenarios — and since most candidates aim to succeed in one focused attempt, the quality of your practice material is the variable that matters most.
Passing the C1000-136 exam requires 42 out of 63, and the registration fee is USD 200 (approx.). Since one focused attempt is the goal for most candidates, thorough practice beforehand protects both your score and your wallet.
Simply leave your email address, and our support team will send the free C1000-136 exam demo to your inbox within 2 hours. This email delivery exists for a reason: it spares you the inconvenience of unsafe download links and online advertising. Your information is protected by strict encryption throughout, and never revealed to any company or individual. The demo itself is a genuine sample of the IBM Cloud Pak for Data v4.x Solution Architecture materials, finished by our IT expert team — quality you can verify before spending anything.
No specific prerequisite exam listed; relevant hands-on experience recommended
The official outline organizes the C1000-136 exam into weighted domains, including:
- Build Data Science Algorithms (14%)
- Data Governance (22%)
- Analytics (17%)
The IBM Cloud Pak for Data v4.x Solution Architecture practice questions at ValidVCE are built around these same objectives — request the free demo by email to see how the content maps onto them.
The C1000-136 exam contains 63 questions with 90 minutes minutes to complete them. Timed practice under the same limits is the reliable way to make that constraint feel routine.
IBM Cloud Pak for Data v4.x Solution Architecture Sample Questions:
Which statement is true about Cloud Pak for Data as a Service?
- A. All services within Cloud Pak for Data as a Service are compliant with all regulations.
- B. Cloud Pak for Data as a Service is not a fully managed service.
- C. Cloud Pak for Data as a Service may include features that differ from customer-managed environments.
- D. All services are included with Cloud Pak for Data as a Service.
Correct Answer: C 🗳️
A customer has data in an Oracle database and wants to sync their data assets to Watson Knowledge Catalog's default catalog. What type of connection do they need to add in the Information Assets view?
- A. SFTP connection
- B. RDP connection
- C. HTTPS connection
- D. JDBC connection
Correct Answer: D 🗳️
How does an external enterprise application communicate with Watson Machine Learning (WML) to score data?
- A. JDBC connection string
- B. VPN tunnel
- C. REST API endpoint
- D. Kafka topic
Correct Answer: C 🗳️
What does it mean when a project in the Data Quality Dashboard shows a low quality percentage of 50%?
- A. Only 50% of the data in each asset has been reviewed for data quality.
- B. Half of the data assets contained in the project have fallen below the configured threshold during quality analysis.
- C. The data assets have failed data quality analysis along half of the quality dimensions.
- D. 50% of the data contained in the examined assets is bad.
Correct Answer: B 🗳️
Which is a use case for Planning Analytics?
- A. Optimize plane routes
- B. Supply chain planning
- C. COVID peak history
- D. Market basket analysis
Correct Answer: B 🗳️
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