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IBM C1000-173 Exam Syllabus Topics:

Section	Weight	Objectives
Architect with Data Source and Integration Services	18%	- Design data replication and integration architectures - Implement data virtualization solutions - Architect with watsonx.data and Db2 services
Plan for a Cloud Pak for Data Implementation	25%	- Size and design OpenShift/Kubernetes infrastructure - Plan backup, restore, high availability and disaster recovery - Design for multi-tenancy and migration - Assess requirements and select appropriate services
Architect with Data Governance Services	20%	- Implement data privacy and regulatory compliance architectures - Leverage knowledge accelerators and governance frameworks - Design knowledge catalog and data discovery solutions
Security and Compliance Architecture	22%	- Design identity and access management - Plan certificate management and secure communications - Secure data exchange and integration - Implement auditing and compliance controls
Operational Readiness and Scalability	15%	- Plan for scalability, performance and lifecycle management - Design monitoring, logging and operational processes

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最新的 IBM Certified Architect C1000-173 免費考試真題 (Q92-Q97):

問題 #92
What is the purpose of configuring access to a Git repository associated with a project in Cloud Pak for Data?

A. To enhance data visualization in JupyterLab or RStudio.
B. To delete the repository and create a new one.
C. To manage the deployment of a model to a project space.
D. To collaborate with others, manage file versions, and enable branching.

答案：D

解題說明：
Configuring access to a Git repository in Cloud Pak for Data projects allows teams to collaborate on code, notebooks, and assets while benefiting from version control and branching. This setup ensures that all project files can be tracked, reverted, or merged, enabling collaborative development and continuous integration workflows. It is not used for model deployment management (B) or visualization enhancements (C). Option D is unrelated to the actual purpose of Git integration.

問題 #93
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. Job Count (JobCount)
B. ETL/ELT Mode (ETL, ELT, or Hybrid)
C. Job Configuration File (APT_CONFIG_FILE)
D. Job Log Retention (log_retention)
E. Auto-scaling (computePodsMin, computePodsMax)

答案：A,E

問題 #94
What is the purpose of profiling data in Data Refinery?

A. Loading data into a different location.
B. Validating the data.
C. Creating data visualizations.
D. Creating data backups.

答案：B

解題說明：
Profiling data in Data Refinery is primarily used for validating the quality, structure, and characteristics of the dataset. It provides insights such as column data types, value distributions, null counts, and patterns, enabling users to detect anomalies, inconsistencies, or data quality issues before performing transformations or analytics. It is not intended for data loading (B), backups (C), or visualization (D), although it provides basic statistical overviews as part of validation.

問題 #95
Which Watson Assistant service captures telephone voice interactions for use by a cognitive agent or as a transcription for analytics processing?

A. Voice Transcriber
B. Voice Analyzer
C. Voice Agent
D. Voice Gateway

答案：D

解題說明：
Watson Assistant integrates with telephone systems through the Voice Gateway service. Voice Gateway captures real-time telephone voice interactions and can route them to a Watson Assistant chatbot or forward them for transcription and analytics. It enables cognitive agents to interact over voice channels and supports integration with SIP-based telephony systems. Voice Agent, Analyzer, and Transcriber are not standard Watson Assistant components within Cloud Pak for Data.

問題 #96
What makes a multi-engine architecture advantageous in watsonx.data?

A. Increased system complexity
B. Limited data processing capabilities
C. Reduced data security
D. Enhanced query optimization across different engines

答案：D

問題 #97
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