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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 Price:USD 200
Certificate Validity Period:No fixed expiration
Exam Format:Scenario-based questions, Multiple choice
Available Languages:English
Real Exam Qty:62
Passing Score:66%
Exam Duration:90 minutes
Related Certifications:IBM Certified Specialist - Cloud Pak for Data
IBM Certified Solution Advisor - Cloud Pak for Data
Recommended Training:IBM Cloud Pak for Data Architecture and Implementation
Solution Architect: IBM Cloud Pak for Data v4.x
Exam Registration:IBM Certification Registration
Pearson VUE
Sample Questions:IBM C1000-173 Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No mandatory prerequisites; recommended experience: 6+ months with Cloud Pak for Data, knowledge of OpenShift/Kubernetes, data architecture and governance concepts
Official Syllabus URL:https://www.ibm.com/certify/exams/C1000-173

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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q96-Q101):

NEW QUESTION # 96
What is the significance of understanding storage classes in Watson OpenScale?

Answer: D


NEW QUESTION # 97
After importing IBM Knowledge Accelerator assets using an API endpoint, what change must be made before the assets can be used by the appropriate users?

Answer: B

Explanation:
After importing IBMKnowledge Accelerator(KA) assets using an API (or other methods), those assets - such as categories, terms, and relationships - are part ofgovernance artifactsin Cloud Pak for Data.
However,to make them usable by specific users, youmust assign collaboratorsto the relevantcategories.
This ensures users have the appropriatepermissions(e.g., to view, curate, or manage terms) within the Information Governance Catalog (IGC) or Watson Knowledge Catalog.


NEW QUESTION # 98
Which of the following best describes the business value of DataStage?

Answer: A


NEW QUESTION # 99
Which two Cloud Pak for Data services support storage class NFS?

Answer: B,E

Explanation:
IBM Cloud Pak for Data supports NFS-backed persistent volumes (RWX storage class) for services that require access to shared file storage. Among the available services, IBM Knowledge Catalog and Watson Discovery are known to support NFS storage classes in installation configuration (e.g. "managed-nfs-storage") for persistent metadata and document storage. Other services like watsonx Assistant, Watson Knowledge Studio, and Planning Analytics use different storage mechanisms and do not necessarily support NFS shared storage in the standard CP4D
4.7 deployment.


NEW QUESTION # 100
Which component of IBM Cloud Pak for Data enables data integration and transformation?

Answer: D

Explanation:
IBM DataStage is a powerful data integration and ETL (Extract, Transform, Load) tool within Cloud Pak for Data. It helps organizations integrate and transform data from various sources to ensure consistency and quality before feeding it into analytics systems.


NEW QUESTION # 101
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