C1000-173 Aktuelle Prüfung - C1000-173 Prüfungsguide & C1000-173 Praxisprüfung

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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
Certificate Validity Period:3 years
Available Languages:English
Related Certifications:IBM Cloud Pak for Data Data Engineer
IBM Cloud Pak for Data Administrator
Exam Format:Multiple choice, Multiple response
Real Exam Qty:60-70
Exam Duration:90 minutes
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 Studienmaterialien: IBM Cloud Pak for Data v4.7 Architect - C1000-173 Torrent Prüfung & C1000-173 wirkliche Prüfung

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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 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 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 C1000-173 Prüfungsfragen mit Lösungen (Q142-Q147):

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

Antwort: C

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."


143. Frage
A customer wants to manage Cloud Pak for Data secrets via an existing supported vault system.
What is needed to integrate any supported vault systems into Cloud Pak for Data?

Antwort: D

Begründung:
To integrate a supported vault system with IBM Cloud Pak for Data, the fully qualified URL of the external vault is a required component for establishing communication between Cloud Pak for Data and the vault. This is typically configured in the external secrets manager settings. While authentication credentials (like client certificates or keys) are also necessary depending on the authentication method used, the fully qualified URL is universally required to locate and connect to the vault.
IBM Cloud Pak for Data supports integration with vaults such as:
HashiCorp Vault
AWS Secrets Manager
Azure Key Vault
IBM Key Protect
For more details, refer to:
IBM Cloud Pak for Data: Using external secrets managers


144. Frage
Which two Cloud Pak for Data predefined roles are used to define DataStage access?

Antwort: A,D

Begründung:
In IBM Cloud Pak for Data, DataStage access is managed using predefined roles that grant specific permissions. The DataStage Developer role is explicitly designed to allow users to create and manage DataStage flows. The Data Steward role is involved in managing data access, lineage, and metadata, which supports governance aspects within DataStage projects. Business Analyst and Governance Steward roles are focused on cataloging and governance workflows, not DataStage design or execution. Reporting Administrator is not applicable in this context.


145. Frage
Which features of the IBM Knowledge Catalog service are unavailable with the Data Governance Express offering?

Antwort: D

Begründung:
IBM Knowledge Catalog's Data Governance Express offering is a lightweight configuration meant for streamlined governance needs. It includes core capabilities like cataloging and basic lineage but does not support advanced metadata export or full-scale lineage visualization and tracking features. These advanced features are only available in the full IBM Knowledge Catalog service.
The Express tier is designed for simpler use cases and quicker onboarding with limited governance overhead.


146. Frage
Which two Cloud Pak for Data services implement data masking to support secure data sharing?

Antwort: D,E

Begründung:
Data masking in IBM Cloud Pak for Data is primarily supported by IBM Knowledge Catalog and Data Privacy services. IBM Knowledge Catalog enforces masking through Data Protection Rules, which dynamically mask sensitive fields when data is accessed through virtualized connections. Data Privacy allows creating masking flows and rules that transform datasets while maintaining usability for analytics, ensuring sensitive data is hidden or obfuscated. DataStage and Db2 Data Gate are ETL and data replication tools, respectively, and SPSS is an analytics tool, none of which natively implement comprehensive masking as a core capability.


147. Frage
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