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IBM C1000-173 考試大綱:
| 主題 | 簡介 |
|---|
| 主題 1 | - 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.
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| 主題 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.
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| 主題 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.
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| 主題 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.
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| 主題 5 | - 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.
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C1000-173權威考題 - 新版C1000-173題庫
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最新的 IBM Certified Architect C1000-173 免費考試真題 (Q27-Q32):
問題 #27
Which two Cloud Pak for Data services support storage class NFS?
- A. watsonx Assistant
- B. Watson Discovery
- C. Planning Analytics
- D. Watson Knowledge Studio
- E. IBM Knowledge Catalog
答案:B,E
解題說明:
IBM Cloud Pak for Data supports NFS#backed persistent volumes (RWX storage class) for services that require access to shared file storage. Among the available services, IBM Knowledge Catalog and Watson Discovery are known to support NFS storage classes in installation configuration (e.g.
"managed#nfs#storage") for persistent metadata and document storage. Other services like watsonx Assistant, Watson Knowledge Studio, and Planning Analytics use different storage mechanisms and do not necessarily support NFS shared storage in the standard CP4D 4.7 deployment.
問題 #28
What is a critical aspect of monitoring DB2 services to enable efficient user querying?
- A. Disabling user access to monitoring tools
- B. Ensuring that only DB administrators can monitor the system
- C. Ignoring query performance metrics
- D. Providing insights into query execution and performance
答案:D
問題 #29
What is the purpose of the IBM Data Replication service?
- A. To monitor database activity.
- B. To transform and validate data moving from source to target.
- C. To integrate and synchronize data.
- D. To provide a unified view of disparate data sources.
答案:C
解題說明:
The IBM Data Replication service in Cloud Pak for Data is designed to integrate and synchronize data between various systems, ensuring that data in target systems is kept up-to-date with the source systems. It supports near real-time replication and change data capture (CDC) mechanisms, making it ideal for analytics environments that require continuous synchronization. The service is not a tool for database activity monitoring (A), creating unified virtual views (B), or performing heavy data transformations (D).
問題 #30
What outcomes can be achieved from Match 360?
- A. Produces statistics and graphs to let users analyze and explore master data.
- B. Uses a dialog format to talk with your data to get insights.
- C. Produces a AI based dashboard to let users analyze business data.
- D. Connect disparate data sources to provide a virtual view of your data.
答案:A
解題說明:
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data.
It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).
問題 #31
Which of the following best describes the business value of DataStage?
- A. It reduces the operational cost by automating data integration tasks.
- B. It increases the need for manual intervention in data processing.
- C. It decreases the flexibility in handling various data formats.
- D. It solely enhances the aesthetic appeal of data reports.
答案:A
問題 #32
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