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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 Analyst - Cloud Pak for Data
IBM Certified Administrator - Cloud Pak for Data
Certificate Validity Period:3 Years
Available Languages:English
Exam Price:$250 USD
Exam Format:Multiple Response, Multiple Choice, Scenario-based
Exam Duration:90 minutes
Real Exam Qty:63
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 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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 5
  • 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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q114-Q119):

NEW QUESTION # 114
What is the primary goal of High Availability in computing environments?

Answer: C


NEW QUESTION # 115
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: D

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 # 116
When designing a virtual agent using Watson Assistant, what is a critical factor to consider for ensuring effective user engagement?

Answer: C


NEW QUESTION # 117
In the context of Watson Assistant, what purpose do storage classes serve?

Answer: D


NEW QUESTION # 118
Which features of the IBM Knowledge Catalog service are unavailable with the Data Governance Express offering?

Answer: D

Explanation:
IBM Knowledge Catalog's Data Governance Express offering is a lightweight configuration meant for streamlined governance needs. It includes core capabilities like cataloging and basic lineage but does not support advanced metadata export or full-scale lineage visualization and tracking features. These advanced features are only available in the full IBM Knowledge Catalog service.
The Express tier is designed for simpler use cases and quicker onboarding with limited governance overhead.


NEW QUESTION # 119
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