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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Architect with Data Governance Services | 20% | - Leverage knowledge accelerators and governance frameworks - Implement data privacy and regulatory compliance architectures - Design knowledge catalog and data discovery solutions |
| Topic 3: Plan for a Cloud Pak for Data Implementation | 25% | - Size and design OpenShift/Kubernetes infrastructure - Design for multi-tenancy and migration - Assess requirements and select appropriate services - Plan backup, restore, high availability and disaster recovery |
| Topic 4: Architect with Data Source and Integration Services | 18% | - Architect with watsonx.data and Db2 services - Design data replication and integration architectures - Implement data virtualization solutions |
| Topic 5: Operational Readiness and Scalability | 15% | - Plan for scalability, performance and lifecycle management - Design monitoring, logging and operational processes |
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NEW QUESTION # 157
What is the purpose of profiling data in Data Refinery?
Answer: B
Explanation:
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.
NEW QUESTION # 158
Which container orchestration platform is used by IBM Cloud Pak for Data?
Answer: D
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 # 159
A customer wants to manage Cloud Pak for Data secrets via an existing supported vault system.
What is needed to integrate any supported vault systems into Cloud Pak for Data?
Answer: B
Explanation:
To integrate a supported vault system with IBM Cloud Pak for Data, the fully qualified URL of the external vault is a required component for establishing communication between Cloud Pak for Data and the vault. This is typically configured in the external secrets manager settings. While authentication credentials (like client certificates or keys) are also necessary depending on the authentication method used, the fully qualified URL is universally required to locate and connect to the vault.
IBM Cloud Pak for Data supports integration with vaults such as:
HashiCorp Vault
AWS Secrets Manager
Azure Key Vault
IBM Key Protect
For more details, refer to:
IBM Cloud Pak for Data: Using external secrets managers
NEW QUESTION # 160
In deciding between managed and self-managed OpenShift for Cloud Pak for Data, what are key factors to consider?
Answer: B,C,D
NEW QUESTION # 161
In Watson Discovery, what is the primary purpose of using query enrichment with machine learning models?
Answer: C
NEW QUESTION # 162
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