IBM C1000-173 Exam Dumps

Get All IBM Cloud Pak for Data V4.7 Architect Exam Questions with Validated Answers

C1000-173 Pack
Vendor: IBM
Exam Code: C1000-173
Exam Name: IBM Cloud Pak for Data V4.7 Architect
Exam Questions: 63
Last Updated: May 24, 2026
Related Certifications: IBM Certified Architect, Cloud Pak for Data V4.7
Exam Tags: Intermediate Level IBM Implementation ConsultantsSolution Architects
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Free IBM C1000-173 Exam Actual Questions

Question No. 1

If a Cloud Pak for Data cluster is air-gapped, it is unable to reach the internet, and a private registry must be configured for installations and upgrades. Beyond container images, what other components need to be addressed?

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Correct Answer: A

In air-gapped (offline) environments, it's not just the container images that require preparation. Package managers like pip (for Python) and other utilities commonly attempt to pull dependencies from public internet repositories. These must be redirected to internal mirrors or handled via offline bundles. If left unaddressed, certain operations within components like Jupyter notebooks, Watson Studio, or pipelines may fail. License validation and monitoring do not inherently require internet access, and data movement between nodes is part of normal cluster function---not something to be blocked.


Question No. 2

Which type of OpenShift route configuration supports client certificate authentication?

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Correct Answer: C

Passthrough route configuration on OpenShift is the only route type that preserves the original TLS connection from the client to the backend service. This is essential for supporting client certificate authentication, as the certificate must be passed directly to the application without termination or inspection at the router level. Edge and Re-encrypt routes terminate the TLS connection at the OpenShift router or re-encrypt it with a new certificate, making them unsuitable for mutual TLS (mTLS) or client certificate scenarios.


Question No. 3

What capability does the Watson OpenScale API provide?

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Correct Answer: D

Watson OpenScale focuses on the monitoring and governance of AI models. Its API allows users to programmatically measure model outcomes, track metrics like accuracy, precision, fairness, and drift, and support compliance with responsible AI practices. It does not build chat interfaces (A), manage data in Watson Studio (B), or extract answers from documents (C). These capabilities are aligned with other Watson services, but OpenScale is centered on AI governance and model performance measurement.


Question No. 4

Which component must be enabled in order to render business lineage when installing IBM Knowledge Catalog?

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Correct Answer: B

Business Lineage and Knowledge Graph: IBM Knowledge Catalog leverages a Knowledge Graph to store and visualize the relationships between various assets, including data assets, governance artifacts (like business terms), and the flow of data. Business lineage, which shows the end-to-end journey of data in business terms, relies heavily on these interconnected relationships within the Knowledge Graph.

Documentation Confirmation: IBM's documentation explicitly states: 'To view lineage, you can have any role in a catalog. Optional This feature is not available by default. Knowledge graph must be installed with IBM Knowledge Catalog, IBM Knowledge Catalog Premium, or IBM Knowledge Catalog Standard. For information on installing knowledge graph, see Specifying additional installation options in the IBM Software Hub documentation.' (Source: IBM Documentation on Lineage). It further clarifies, 'Enable knowledge graph to gain access to the lineage feature, business-term relationship search, and the relationship explorer.'


Question No. 5

What is a Data Refinery flow in Cloud Pak for Data?

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Correct Answer: C

A Data Refinery flow in Cloud Pak for Data is an ordered set of data operations (transformations) that are applied to tabular data. It is used to cleanse, shape, and prepare data for analysis or machine learning. Users can apply filters, joins, aggregations, and custom expressions. It is not a storage location (A), ML model (B), or a visualization tool (D), though visual previews of transformed data are available.


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