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| Section | Weight | Objectives |
|---|---|---|
| Architect with Data Governance Services | 20% | - Implement data privacy and regulatory compliance architectures - Design knowledge catalog and data discovery solutions - Leverage knowledge accelerators and governance frameworks |
| Operational Readiness and Scalability | 15% | - Plan for scalability, performance and lifecycle management - Design monitoring, logging and operational processes |
| Plan for a Cloud Pak for Data Implementation | 25% | - Design for multi-tenancy and migration - Size and design OpenShift/Kubernetes infrastructure - Assess requirements and select appropriate services - Plan backup, restore, high availability and disaster recovery |
| 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 |
| Security and Compliance Architecture | 22% | - Implement auditing and compliance controls - Secure data exchange and integration - Design identity and access management - Plan certificate management and secure communications |
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NEW QUESTION # 139
Why is data replication crucial for real-time data changes?
Answer: B
NEW QUESTION # 140
Which container orchestration platform is used by IBM Cloud Pak for Data?
Answer: C
Explanation:
IBM Cloud Pak for Data is built on OpenShift, which is an enterprise Kubernetes platform.
OpenShift provides a secure and scalable platform for managing containerized applications, including those within Cloud Pak for Data.
NEW QUESTION # 141
When architecting a solution with Match 360, what is a crucial aspect to ensure data quality and consistency?
Answer: C
NEW QUESTION # 142
What is a Data Refinery flow in Cloud Pak for Data?
Answer: C
Explanation:
A Data Refinery flow is an ordered sequence of data operations applied to tabular data for preparation, cleansing, and transformation. Users can create a series of steps such as filtering, joining, aggregating, and applying custom expressions. The flow is saved and can be rerun on updated datasets to ensure consistency in data preparation. It is not a storage system (A), an ML model (B), or a visualization tool (D).
NEW QUESTION # 143
What post-installation step is essential for enhancing Watson Assistant's performance? (Select two)
Answer: C,D
NEW QUESTION # 144
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