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IBM C1000-173 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Operational Readiness and Scalability15%- Design monitoring, logging and operational processes
- Plan for scalability, performance and lifecycle management
Topic 2: Architect with Data Source and Integration Services18%- Implement data virtualization solutions
- Architect with watsonx.data and Db2 services
- Design data replication and integration architectures
Topic 3: Plan for a Cloud Pak for Data Implementation25%- Assess requirements and select appropriate services
- Design for multi-tenancy and migration
- Plan backup, restore, high availability and disaster recovery
- Size and design OpenShift/Kubernetes infrastructure
Topic 4: Security and Compliance Architecture22%- Implement auditing and compliance controls
- Design identity and access management
- Plan certificate management and secure communications
- Secure data exchange and integration
Topic 5: Architect with Data Governance Services20%- Implement data privacy and regulatory compliance architectures
- Leverage knowledge accelerators and governance frameworks
- Design knowledge catalog and data discovery solutions

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q151-Q156):

NEW QUESTION # 151
Which set of DataStage features are primarily intended to improve reusability and flexibility?

Answer: C

Explanation:
DataStage promotes modularity and reusability through the use of components such as job stages, parameters, parameter sets, and environment variables. Parameters and parameter sets allow dynamic configuration of jobs, enabling reuse across environments and reducing hardcoding. Environment variables allow users to define global job behavior across projects. These elements significantly enhance development efficiency and pipeline portability. Other features like schema drift and ELT modes support execution flexibility, but they are not primarily focused on reusability.


NEW QUESTION # 152
Which two Cloud Pak for Data services implement data masking to support secure data sharing?

Answer: C,D

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 # 153
How does Watson Discovery support effective knowledge management in an enterprise?

Answer: D


NEW QUESTION # 154
Comparing data replication with an ETL tool, which feature is exclusive to data replication concerning real-time data changes?

Answer: C


NEW QUESTION # 155
How can IBM Cloud Pak for Data facilitate the management of data compliance and privacy?

Answer: A


NEW QUESTION # 156
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