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IBM C1000-173 Actual Tests : IBM Cloud Pak for Data v4.7 Architect

C1000-173 actual test
  • Exam Code: C1000-173
  • Exam Name: IBM Cloud Pak for Data v4.7 Architect
  • Updated: Nov 08, 2026
  • Q & A: 192 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

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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 Data Source Services: This domain measures expertise of a Data Integration Architect and includes architecting solutions with data replication technologies to synchronize data across systems. IBM Data Virtualization architecture enables access to and querying of disparate data sources without data movement. Architecting with watsonx.data focuses on building intelligent data lakes and query engines. Architecting with Db2-related services involves designing scalable data management and processing architectures using IBM's Db2 platforms.
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.
Topic 4
  • 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 5
  • 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.

Reference: https://www.ibm.com/training/certification/ibm-certified-architect-cloud-pak-for-data-v47-C9006000#exam

IBM Cloud Pak for Data v4.7 Architect Sample Questions:

Question #1

What key features should be emphasized when integrating Watson OpenScale for AI model monitoring? (Select two)

  • A. Bias detection and mitigation
  • B. Continuous model performance monitoring
  • C. Dynamic resource allocation
  • D. Manual model tuning requirements
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

Question #2

Why is tethering projects to the IBM Cloud Pak for Data control plane beneficial?

  • A. Enhances project isolation while enabling resource access control
  • B. It prevents any form of project organization
  • C. It ensures all projects are untethered for greater flexibility
  • D. Disallows resource monitoring and management
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

In Watson Discovery, what is the primary purpose of using query enrichment with machine learning models?

  • A. To enhance the accuracy of search responses
  • B. To increase the storage requirements
  • C. To reduce the data ingestion rate
  • D. To simplify the query language
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

How do Metro-DR and Regional-DR differ in terms of disaster recovery planning?

  • A. Metro-DR typically has lower latency and faster recovery times than Regional-DR
  • B. Regional-DR requires less data synchronization
  • C. Metro-DR is less concerned with geographic diversity
  • D. Metro-DR operates over longer distances than Regional-DR
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

What is Data Refinery best described as?

  • A. A physical data storage enhancement tool
  • B. A tool for enhancing network security
  • C. A data integration and transformation tool
  • D. A graphical interface for database management
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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