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C1000-173 Ressourcen Prüfung - C1000-173 Prüfungsguide & C1000-173 Beste Fragen

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C1000-173 Testengine, C1000-173 Prüfungsfrage

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IBM C1000-173 Prüfungsplan:

Thema
Einzelheiten

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

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.

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

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.

IBM Cloud Pak for Data v4.7 Architect C1000-173 Prüfungsfragen mit Lösungen (Q155-Q160):

155. Frage
In which situation would you specifically label nodes for DB2 workloads?

A. When all nodes are utilized for identical tasks
B. To distinguish between different data or workload types
C. For reducing overall system performance
D. When node differentiation is unnecessary

Antwort: B

156. Frage
How do Cloud Pak for Data administrators obtain access to Match 360?

A. Administrative users must belong to the appropriate service group.
B. Administrative users automatically have access.
C. Each user is automatically granted read access.
D. Each user who is assigned to a service group has access.

Antwort: A

Begründung:
Access to Match 360 within IBM Cloud Pak for Data is role-based and governed by service groups. Even administrative users are not granted automatic access unless they are explicitly assigned to the appropriate Match 360 service group. This allows fine-grained control over who can access master data management capabilities. Service group membership defines the roles and privileges needed for interacting with Match 360 functionalities like entity resolution and golden record management.

157. Frage
The data integration team at a financial services company has always struggled to manage resources as the number of integration jobs changes throughout the month.
Which two settings are available when configuring Dynamic Workload Management for a specific DataStage instance?

A. ETL/ELT Mode (ETL, ELT, or Hybrid)
B. Job Count (JobCount)
C. Job Log Retention (log_retention)
D. Job Configuration File (APT_CONFIG_FILE)
E. Auto-scaling (computePodsMin, computePodsMax)

Antwort: B,E

158. Frage
What capability does the Watson OpenScale API provide?

A. Extract answers from business documents.
B. Manage data-related assets in Watson Studio.
C. Build conversational interfaces.
D. Measure AI model outcomes and ensuring fairness.

Antwort: D

Begründung:
Watson OpenScale focuses on the monitoring and governance of AI models. Its API allows users to programmatically measure model outcomes, track metrics like accuracy, precision, fairness, and drift, and support compliance with responsible AI practices. It does not build chat interfaces (A), manage data in Watson Studio (B), or extract answers from documents (C). These capabilities are aligned with other Watson services, but OpenScale is centered on AI governance and model performance measurement.

159. Frage
When developing database applications with Db2/BigSQL and REST interfaces, what is crucial?

A. Facilitating efficient communication between the database layer and application
B. Using exclusively proprietary software interfaces
C. Ensuring minimalistic graphical design
D. Maximizing the use of synchronous operations

Antwort: A

160. Frage
......

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