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IBM C1000-173 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Cloud Pak for Data v4.7 Architect
Exam Number:C1000-173
Related Certifications:IBM Certified Data Engineer - Cloud Pak for Data
IBM Certified Administrator - Cloud Pak for Data
IBM Certified Analyst - Cloud Pak for Data
Exam Format:Scenario-based, Multiple Response, Multiple Choice
Available Languages:English
Real Exam Qty:63
Exam Duration:90 minutes
Exam Price:$250 USD
Certificate Validity Period:3 Years
Passing Score:63%
Sample Questions:IBM C1000-173 Sample Questions
Exam Way:Online proctored or at authorized Pearson VUE test centers
Pre Condition:No formal prerequisites required, but recommend having prior experience with IBM Cloud Pak for Data administration, Red Hat OpenShift Container Platform, and general data architecture principles.
Official Syllabus URL:https://www.ibm.com/certify/exam?id=173

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IBM C1000-173 Certification Sample Questions, Free C1000-173 Brain Dumps

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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Architect with Data Governance Services: This section evaluates skills of a Data Governance Specialist, covering the architecture of knowledge catalogs to enable data discovery and management. Data Privacy architectures ensure compliance with regulatory requirements around data protection. Knowledge Accelerators involve designing solutions that speed up data governance processes through predefined policies and templates.
Topic 2
  • Security Requirements: This domain targets a Security Architect and focuses on planning security for a Cloud Pak for Data deployment. It includes managing certificates that secure communications, identity management systems, and access and authorization controls to enforce secure and compliant user and service interactions. The auditing features and their integration with enterprise audit systems are crucial to ensure traceability and accountability. Asset interchange security involves safeguarding data movement between services.
Topic 3
  • Architect with AI Series: This section measures the skills of an AI Solution Architect and includes designing architectures for solutions involving various IBM Watson AI services. Architecting with Watson Assistant involves creating conversational AI interfaces. Watson Discovery solutions focus on building cognitive search and content analytics applications. Watson Pipelines solutions involve orchestrating data science workflows. Watson OpenScale architectures enable AI model monitoring and governance. Architecting with Match 360 supports personalized engagement by integrating multi-channel customer insights.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q93-Q98):

NEW QUESTION # 93
What makes a multi-engine architecture advantageous in watsonx.data?

Answer: A


NEW QUESTION # 94
What can be used to deliver business-ready data to feed AI and analytics projects?

Answer: B

Explanation:
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.


NEW QUESTION # 95
Which components of IBM Cloud Pak for Data are essential for implementing an end-to-end data science workflow?

Answer: B


NEW QUESTION # 96
Which of the following statements best describes the business value of Watson Assistant?

Answer: A


NEW QUESTION # 97
What are the key benefits of utilizing Watson Pipelines in data processing? (Select two)

Answer: C,D


NEW QUESTION # 98
......

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