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Get All IBM Cloud Pak for Data V4.7 Architect Exam Questions with Validated Answers
Vendor: | IBM |
---|---|
Exam Code: | C1000-173 |
Exam Name: | IBM Cloud Pak for Data V4.7 Architect |
Exam Questions: | 63 |
Last Updated: | October 5, 2025 |
Related Certifications: | IBM Certified Architect, Cloud Pak for Data V4.7 |
Exam Tags: | Intermediate Level IBM Implementation ConsultantsSolution Architects |
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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?
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
What is a benefit of utilizing the IBM Data Virtualization service?
IBM Data Virtualization allows users to query and combine data from multiple disparate sources without physically moving it. One of its key benefits is that it enables central governance of access and policies across these data sources. Rather than duplicating data, the service provides virtualized views while maintaining source security and compliance. It does not bypass security (B), nor is its main goal to copy data (A). Discovering and classifying sensitive information (C) is primarily the function of IBM Knowledge Catalog.
What can be used to deliver business-ready data to feed AI and analytics projects?
IBM Knowledge Catalog is the core governance and cataloging service within Cloud Pak for Data that enables the delivery of trusted, business-ready data to AI and analytics pipelines. It provides data lineage, metadata management, access policies, and quality scores, ensuring data consumers use curated and compliant data. Watson Machine Learning and its accelerator are focused on model training and inference, while IBM Data Catalog is a former term replaced by Knowledge Catalog in recent versions.
What endpoint will an application use to interact with Db2 Big SQL?
Applications interact with Db2 Big SQL using industry-standard protocols. The most common and supported interface is through a REST (Representative State Transfer) API endpoint. REST endpoints allow for external applications to query, manage, and manipulate data within Big SQL using simple HTTP calls. None of the other options---SLEEP, SNORE, or DREAM---are valid or recognized interfaces in IBM Cloud Pak for Data or Db2 Big SQL documentation.
What is a benefit of utilizing the IBM Data Virtualization service?
As mentioned previously, IBM Data Virtualization provides a single governed access point for data residing across heterogeneous systems. It reduces data movement by creating virtualized views, enabling organizations to query multiple sources seamlessly while adhering to centralized security and governance policies. This capability supports analytics and reporting without duplicating or moving data.
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