IBM C1000-173 Fragen und Antworten, IBM Cloud Pak for Data v4.7 Architect Prüfungsfragen

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

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IBM C1000-173 Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • 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 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.
Thema 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.
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
  • 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.

IBM Cloud Pak for Data v4.7 Architect C1000-173 Prüfungsfragen mit Lösungen (Q122-Q127):

122. Frage
What is the purpose of Watson Knowledge Catalog in IBM Cloud Pak for Data?

Antwort: A

Begründung:
Watson Knowledge Catalog is a data governance and metadata management service. It allows organizations to catalog, classify, and manage data assets, ensuring compliance and facilitating data discovery for analytics and AI projects.


123. Frage
Why is it essential to integrate Watson OpenScale in an AI solution architecture?

Antwort: A


124. Frage
What is the significance of understanding storage classes in Watson OpenScale?

Antwort: A


125. Frage
What are the limitations regarding the number of instances that can be created with Watson Assistant?

Antwort: A


126. Frage
Which component must be enabled in order to render business lineage when installing IBM Knowledge Catalog?

Antwort: A

Begründung:
Business Lineage and Knowledge Graph:IBM Knowledge Catalog leverages a Knowledge Graph to store and visualize the relationships between various assets, including data assets, governance artifacts (like business terms), and the flow of data. Business lineage, which shows the end-to-end journey of data in business terms, relies heavily on these interconnected relationships within the Knowledge Graph.
Documentation Confirmation:IBM's documentation explicitly states: "To view lineage, you can have any role in a catalog.Optional This feature is not available by default. Knowledge graph must be installed with IBM Knowledge Catalog, IBM Knowledge Catalog Premium, or IBM Knowledge Catalog Standard.
For information on installing knowledge graph, see Specifying additional installation options in the IBM Software Hub documentation." (Source: IBM Documentation on Lineage). It further clarifies, "Enable knowledge graph to gain access to the lineage feature, business-term relationship search, and the relationship explorer."


127. Frage
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