IBM C1000-173 Prüfungsaufgaben, C1000-173 PDF

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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:Scenario-based questions, Multiple choice
Exam Price:USD 200
Certificate Validity Period:No fixed expiration
Real Exam Qty:62
Available Languages:English
Exam Duration:90 minutes
Passing Score:66%
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:Pearson VUE
IBM Certification Registration
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

>> IBM C1000-173 Prüfungsaufgaben <<

C1000-173 PDF & C1000-173 Echte Fragen

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IBM C1000-173 Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • 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.
Thema 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.
Thema 3
  • 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.
Thema 4
  • 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.
Thema 5
  • 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.

IBM Cloud Pak for Data v4.7 Architect C1000-173 Prüfungsfragen mit Lösungen (Q79-Q84):

79. Frage
Which two features are valid only when deploying Cloud Pak for Data on-premises?

Antwort: C,E

Begründung:
In on-premises deployments of IBM Cloud Pak for Data:
Administrators have full control over the number of OpenShift nodes, unlike cloud-managed environments where node scaling may be automatic or abstracted. Persistent storage is always required and configured by the infrastructure team to meet service requirements and ensure data availability.
Auto-scaling of compute and automatic updates of services are not handled by IBM in on-prem setups. Network security responsibilities also lie with the deploying organization, not IBM, in an on-premises model.


80. Frage
What is the primary goal of High Availability in computing environments?

Antwort: D


81. Frage
How can IBM Cloud Pak for Data facilitate the management of data compliance and privacy?

Antwort: C


82. Frage
How is storage managed in watsonx.data to enhance data accessibility and efficiency?

Antwort: B


83. Frage
In the context of IBM Cloud Pak for Data, which statement best describes the purpose of using OpenShift Operators?

Antwort: D


84. Frage
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