Pass Guaranteed Quiz 2026 IBM Pass-Sure C1000-173: IBM Cloud Pak for Data v4.7 Architect PDF Question

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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
Available Languages:English
Related Certifications:IBM Certified Specialist - Cloud Pak for Data
IBM Certified Solution Advisor - Cloud Pak for Data
Certificate Validity Period:No fixed expiration
Real Exam Qty:62
Exam Format:Scenario-based questions, Multiple choice
Exam Price:USD 200
Passing Score:66%
Exam Duration:90 minutes
Recommended Training:Solution Architect: IBM Cloud Pak for Data v4.x
IBM Cloud Pak for Data Architecture and Implementation
Exam Registration:Pearson VUE
IBM Certification Registration
Sample Questions:IBM C1000-173 Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No mandatory prerequisites; recommended experience: 6+ months with Cloud Pak for Data, knowledge of OpenShift/Kubernetes, data architecture and governance concepts
Official Syllabus URL:https://www.ibm.com/certify/exams/C1000-173

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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 Data Source Services: This domain measures expertise of a Data Integration Architect and includes architecting solutions with data replication technologies to synchronize data across systems. IBM Data Virtualization architecture enables access to and querying of disparate data sources without data movement. Architecting with watsonx.data focuses on building intelligent data lakes and query engines. Architecting with Db2-related services involves designing scalable data management and processing architectures using IBM's Db2 platforms.
Topic 4
  • Architect with Analytic Services: This domain targets a Data Analytics Architect and focuses on designing solutions using analytic components of Cloud Pak for Data. Architecting with DataStage involves creating data integration and ETL pipelines. Data Refinery architectures prepare and cleanse data for analysis. Db2 Big SQL solutions address querying large distributed data sets with SQL, facilitating analytics across diverse data sources.
Topic 5
  • 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 (Q159-Q164):

NEW QUESTION # 159
The data integration team at a financial services company has always struggled to manage resources as the number of integration jobs changes throughout the month. Which two settings are available when configuring Dynamic Workload Management for a specific DataStage instance?

Answer: C,D


NEW QUESTION # 160
What is Data Refinery best described as?

Answer: B


NEW QUESTION # 161
In what ways can data ingestion into watsonx.data be optimized for better performance?

Answer: B


NEW QUESTION # 162
What is the primary requirement to enforce data privacy in Cloud Pak for Data?

Answer: C


NEW QUESTION # 163
Which of the following statements best describes the business value of Watson Assistant?

Answer: C


NEW QUESTION # 164
......

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