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| Section | Weight | Objectives |
|---|---|---|
| Architect with Data Source and Integration Services | 18% | - Implement data virtualization solutions - Architect with watsonx.data and Db2 services - Design data replication and integration architectures |
| Operational Readiness and Scalability | 15% | - Plan for scalability, performance and lifecycle management - Design monitoring, logging and operational processes |
| Security and Compliance Architecture | 22% | - Secure data exchange and integration - Implement auditing and compliance controls - Design identity and access management - Plan certificate management and secure communications |
| Architect with Data Governance Services | 20% | - Leverage knowledge accelerators and governance frameworks - Design knowledge catalog and data discovery solutions - Implement data privacy and regulatory compliance architectures |
| Plan for a Cloud Pak for Data Implementation | 25% | - Assess requirements and select appropriate services - Size and design OpenShift/Kubernetes infrastructure - Plan backup, restore, high availability and disaster recovery - Design for multi-tenancy and migration |
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NEW QUESTION # 90
How are Knowledge Accelerators deployed?
Answer: D
Explanation:
Knowledge Accelerators are a part of IBM Knowledge Catalog in IBM Cloud Pak for Data and provide predefined industry-specific business terms and relationships. These accelerators are not included by default with sample assets nor automatically deployed through the Cloud Pak for Data marketplace. Instead, they are imported using dedicated API endpoints provided by IBM for Knowledge Accelerators. Deployment involves uploading the accelerator assets using the IBM Knowledge Accelerator API, and once imported, they can be customized and published within the governance framework. This approach provides the flexibility required for various enterprise governance models.
NEW QUESTION # 91
Which two Cloud Pak for Data services implement data masking to support secure data sharing?
Answer: D,E
Explanation:
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.
NEW QUESTION # 92
Which components of IBM Cloud Pak for Data are essential for implementing an end-to-end data science workflow?
Answer: B
NEW QUESTION # 93
How can IBM Cloud Pak for Data facilitate the management of data compliance and privacy?
Answer: C
NEW QUESTION # 94
Why is data replication crucial for real-time data changes?
Answer: A
NEW QUESTION # 95
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Questions in desktop-based mock exams are identical to the real ones. Our practice exams give you options to change their durations and questions' numbers to polish your skills. You can easily assess your readiness with the assistance of results produced by the practice exam. This IBM Cloud Pak for Data v4.7 Architect software records all your previous takes so you can identify your mistakes and overcome them before the final attempt. The IBM Cloud Pak for Data v4.7 Architect (C1000-173) desktop practice exam software works only on Windows operating system.
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