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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q34-Q39):

NEW QUESTION # 34
What is Data Refinery best described as?

Answer: D


NEW QUESTION # 35
What is a benefit of utilizing the IBM Data Virtualization service?

Answer: A

Explanation:
IBM Data Virtualization allows users to query and combine data from multiple disparate sources without physically moving it. One of its key benefits is that it enables central governance of access and policies across these data sources. Rather than duplicating data, the service provides virtualized views while maintaining source security and compliance. It does not bypass security (B), nor is its main goal to copy data (A). Discovering and classifying sensitive information (C) is primarily the function of IBM Knowledge Catalog.


NEW QUESTION # 36
In Watson Discovery, what is the primary purpose of using query enrichment with machine learning models?

Answer: D


NEW QUESTION # 37
Which of the following strategies are crucial for planning an effective backup and restore process in a Cloud Pak for Data environment?

Answer: B,C


NEW QUESTION # 38
Which of the following is an example of a service available within IBM Cloud Pak for Data for analyzing and visualizing data?

Answer: D

Explanation:
IBM Cognos Analytics is a business intelligence and analytics service that helps users visualize, analyze, and generate reports from data. It integrates well with IBM Cloud Pak for Data to provide interactive dashboards and reports.


NEW QUESTION # 39
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