IBM C1000-173 Exam Overview:
| Certification Vendor: | IBM |
| Exam Name: | IBM Cloud Pak for Data v4.7 Architect |
| Exam Number: | C1000-173 |
| Related Certifications: | IBM Cloud Pak for Data Data Engineer IBM Cloud Pak for Data Administrator |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60-70 |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple choice, Multiple response |
| Exam Price: | USD 200 (varies by region) |
| Recommended Training: | IBM Cloud Pak for Data Learning Resources |
| Exam Registration: | IBM Certification Portal |
| Sample Questions: | IBM C1000-173 Sample Questions |
| Exam Way: | Online proctored exam (remote) or authorized testing center |
| Pre Condition: | No strict mandatory prerequisites, but strong familiarity with IBM Cloud Pak for Data architecture and services is recommended. |
| Official Syllabus URL: | https://www.ibm.com/training/certification |
IBM C1000-173 Exam Syllabus Topics:
| Topic | Details |
|---|
| Topic 1 | - Security Requirements: This domain targets a Security Architect and focuses on planning security for a Cloud Pak for Data deployment. It includes managing certificates that secure communications, identity management systems, and access and authorization controls to enforce secure and compliant user and service interactions. The auditing features and their integration with enterprise audit systems are crucial to ensure traceability and accountability. Asset interchange security involves safeguarding data movement between services.
|
| Topic 2 | - Architect with Data Governance Services: This section evaluates skills of a Data Governance Specialist, covering the architecture of knowledge catalogs to enable data discovery and management. Data Privacy architectures ensure compliance with regulatory requirements around data protection. Knowledge Accelerators involve designing solutions that speed up data governance processes through predefined policies and templates.
|
| Topic 3 | - Architect with AI Series: This section measures the skills of an AI Solution Architect and includes designing architectures for solutions involving various IBM Watson AI services. Architecting with Watson Assistant involves creating conversational AI interfaces. Watson Discovery solutions focus on building cognitive search and content analytics applications. Watson Pipelines solutions involve orchestrating data science workflows. Watson OpenScale architectures enable AI model monitoring and governance. Architecting with Match 360 supports personalized engagement by integrating multi-channel customer insights.
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| Topic 4 | - Architect with Analytic Services: This domain targets a Data Analytics Architect and focuses on designing solutions using analytic components of Cloud Pak for Data. Architecting with DataStage involves creating data integration and ETL pipelines. Data Refinery architectures prepare and cleanse data for analysis. Db2 Big SQL solutions address querying large distributed data sets with SQL, facilitating analytics across diverse data sources.
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Reference: https://www.ibm.com/training/certification/ibm-certified-architect-cloud-pak-for-data-v47-C9006000#exam
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