Pass your actual test at first attempt with IBM C1000-066 training material
Updated: Aug 29, 2026
No. of Questions: 60 Questions & Answers with Testing Engine
Download Limit: Unlimited
Exam-Killer C1000-066 updated and latest training material covers the main exam objectives of the actual test, which can ensure you pass easily. Free update for one year of C1000-066 training material is available after purchase. Besides, our C1000-066 test engine can simulate the actual test environment for better preparation.
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The price of IBM Certified Solution Architect - Cloud Pak for Data V2.5 is $400 USD.
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Cloud Pak for Data Solution Architect V2.5 |
| Exam Number: | C1000-066 |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple choice, Multiple response |
| Available Languages: | English |
| Passing Score: | Approximately 60–65% (IBM passing scores vary by exam version) |
| Exam Price: | USD 200 (may vary by region and tax) |
| Certificate Validity Period: | 3 years |
| Related Certifications: | IBM Data Engineer IBM Cloud Pak for Data Administrator IBM AI Engineer |
| Real Exam Qty: | Approximately 60–65 questions |
| Recommended Training: | IBM Cloud Pak for Data Learning Path |
| Exam Registration: | IBM Certification Portal Pearson VUE IBM Exams |
| Sample Questions: | IBM C1000-066 Sample Questions |
| Exam Way: | Online proctored or test center (Pearson VUE) |
| Pre Condition: | No mandatory prerequisites, but recommended knowledge of IBM Cloud Pak for Data and data architecture concepts |
| Official Syllabus URL: | https://www.ibm.com/certify |
This certification requires 1 exam: C1000-066 - IBM Cloud Pak for Data Solution Architect V2.5
The following will be discussed in IBM C1000-066 exam dumps:
Reference: https://www.ibm.com/training/certification/C0004600
| Section | Objectives |
|---|---|
| Topic 1: Data Integration and Data Management | - Data ingestion and transformation
|
| Topic 2: Cloud Pak for Data Architecture Overview | - Core components and platform architecture
|
| Topic 3: Data Governance and Security | - Governance implementation
|
| Topic 4: Deployment and Infrastructure | - Installation and configuration
|
| Topic 5: AI and Analytics Integration | - Machine learning and AI services
|
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