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IBM C1000-173 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Cloud Pak for Data v4.7 Architect
Exam Number:C1000-173
Exam Format:Multiple choice, Multiple response
Related Certifications:IBM Cloud Pak for Data Administrator
IBM Cloud Pak for Data Data Engineer
Available Languages:English
Exam Price:USD 200 (varies by region)
Real Exam Qty:60-70
Certificate Validity Period:3 years
Exam Duration:90 minutes
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

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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
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
  • Plan for a Cloud Pak for Data Implementation: This section of the exam measures the skills of an Implementation Consultant and covers determining which Cloud Pak for Data services to deploy based on organizational needs. It involves sizing the Kubernetes
  • OpenShift cluster appropriately for workload demands and planning backup and restore strategies to ensure data protection. Planning for high availability and disaster recovery is essential to maintain uninterrupted service. Multi-tenancy requirements must be understood to support multiple user groups securely on shared infrastructure. Migration requirements need assessment to transition existing data and workloads smoothly.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q73-Q78):

NEW QUESTION # 73
In the context of Cloud Pak for Data and OpenShift, what is the advantage of containerization for service availability?

Answer: D


NEW QUESTION # 74
When designing a virtual agent using Watson Assistant, what is a critical factor to consider for ensuring effective user engagement?

Answer: B


NEW QUESTION # 75
What post-installation step is essential for enhancing Watson Assistant's performance? (Select two)

Answer: A,C


NEW QUESTION # 76
Which architectural consideration is crucial when deploying IBM Cloud Pak for Data on Red Hat OpenShift to ensure high availability?

Answer: D


NEW QUESTION # 77
How does watsonx.data provide data sharing between Db2 Warehouse, Netezza, and any other data management solution?

Answer: B

Explanation:
watsonx.data uses Apache Iceberg tables as the open table format for data sharing across platforms like Db2 Warehouse, Netezza, and other compatible data management solutions. Iceberg provides a transactional and schema-evolution-friendly table layer, allowing multiple engines to read and write data concurrently. This approach avoids proprietary loaders or simple file transfers and ensures efficient interoperability between different systems.


NEW QUESTION # 78
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