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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
Real Exam Qty:62
Passing Score:66%
Related Certifications:IBM Certified Solution Advisor - Cloud Pak for Data
IBM Certified Specialist - Cloud Pak for Data
Exam Price:USD 200
Certificate Validity Period:No fixed expiration
Available Languages:English
Exam Format:Multiple choice, Scenario-based questions
Exam Duration:90 minutes
Recommended Training:IBM Cloud Pak for Data Architecture and Implementation
Solution Architect: IBM Cloud Pak for Data v4.x
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 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 2
  • Plan for a Cloud Pak for Data Implementation: This section of the exam measures the skills of an Implementation Consultant and covers determining which Cloud Pak for Data services to deploy based on organizational needs. It involves sizing the Kubernetes
  • OpenShift cluster appropriately for workload demands and planning backup and restore strategies to ensure data protection. Planning for high availability and disaster recovery is essential to maintain uninterrupted service. Multi-tenancy requirements must be understood to support multiple user groups securely on shared infrastructure. Migration requirements need assessment to transition existing data and workloads smoothly.
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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q120-Q125):

NEW QUESTION # 120
Which architectural consideration is crucial when deploying IBM Cloud Pak for Data on Red Hat OpenShift to ensure high availability?

Answer: D


NEW QUESTION # 121
Why would an organization implement the data privacy capabilities of Cloud Pak for Data?

Answer: B

Explanation:
The primary goal of the data privacy capabilities in IBM Cloud Pak for Data is to restrict access to sensitive data such as personally identifiable information (PII), financial records, or protected health information. This is achieved using Data Protection Rules, dynamic masking, and policy enforcement across services like IBM Knowledge Catalog and Data Virtualization. It ensures compliance with data governance policies and external regulations. While trusted data and platform security are important, those are addressed by other services and features.


NEW QUESTION # 122
What role does storage management play in optimizing watsonx.data performance?

Answer: A


NEW QUESTION # 123
What is the significance of using platform connections in Data Replication on Cloud Pak for Data?

Answer: A


NEW QUESTION # 124
In which situation would you specifically label nodes for DB2 workloads?

Answer: C


NEW QUESTION # 125
......

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