C1000-173 Exam Torrent: IBM Cloud Pak for Data v4.7 Architect & C1000-173 Training Materials & C1000-173 Exam Prep

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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
Exam Duration:90 minutes
Exam Price:USD 200
Certificate Validity Period:No fixed expiration
Passing Score:66%
Available Languages:English
Exam Format:Scenario-based questions, Multiple choice
Real Exam Qty:62
Related Certifications:IBM Certified Solution Advisor - Cloud Pak for Data
IBM Certified Specialist - Cloud Pak for Data
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
  • 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 2
  • 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.
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 (Q122-Q127):

NEW QUESTION # 122
Which architectural consideration is crucial when deploying IBM Cloud Pak for Data on Red Hat OpenShift to ensure high availability?

Answer: A


NEW QUESTION # 123
Why is data replication crucial for real-time data changes?

Answer: B


NEW QUESTION # 124
In terms of managing security for data stores in Watson Assistant, what practices should be emphasized? (Select two)

Answer: C,D


NEW QUESTION # 125
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?

Answer: B

Explanation:
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.


NEW QUESTION # 126
An organization has created an extensive number of data protection rules as part of their Cloud Pak for Data implementation. The governance team is working on developing best practices for their team to maximize this investment.
Which service can be used to create a copy of cataloged asset data with all data protection rules applied?

Answer: B


NEW QUESTION # 127
......

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