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【General】 Valid IBM C1000-173 Exam Dumps Questions - Confirm Your Success Reply

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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
  • 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 3
  • 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 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q46-Q51):NEW QUESTION # 46
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?
  • A. License validation requires periodic updates via internet proxy.
  • B. Platform monitoring messages are sent via an internet messaging hub.
  • C. Utilities, like pip, still require a connection to the internet by default.
  • D. Data movement between nodes must be blocked via firewall rules.
Answer: C
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 # 47
Which features of the IBM Knowledge Catalog service are unavailable with the Data Governance Express offering?
  • A. Semantic search and metadata analysis
  • B. Data quality features in analytics projects and ETL
  • C. Lineage and semantic search
  • D. Advanced metadata export and lineage
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 # 48
When planning for the data management console in Db2, what functionality is crucial for effective database management?
  • A. Comprehensive monitoring and management features
  • B. Avoiding integration with other Db2 services
  • C. Limited visibility over data and queries
  • D. Restricting user access to essential functionalities only
Answer: A

NEW QUESTION # 49
What can be used to deliver business-ready data to feed AI and analytics projects?
  • A. IBM Data Catalog for Cloud Pak for Data
  • B. Watson Machine Learning for Cloud Pak for Data
  • C. IBM Knowledge Catalog for Cloud Pak for Data
  • D. Watson Machine Learning Accelerator on Cloud Pak for Data
Answer: C
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 # 50
How does IBM Cloud Pak for Data support disaster recovery and business continuity planning?
  • A. By supporting high-availability cluster configurations
  • B. By enabling cross-region data replication
  • C. All of the above
  • D. By providing automated backup and restore capabilities
Answer: C

NEW QUESTION # 51
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