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[General] Latest Study C1000-173 Questions & C1000-173 New Practice Materials

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【General】 Latest Study C1000-173 Questions & C1000-173 New Practice Materials

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IBM C1000-173 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q106-Q111):NEW QUESTION # 106
What is a primary consideration when designing a multi-tenant architecture?
  • A. Data isolation between tenants
  • B. Reducing the scalability of resources
  • C. Ensuring data overlap between tenants
  • D. Ensuring data overlap between tenants
Answer: A

NEW QUESTION # 107
What is the primary function of IBM Watson Assistant?
  • A. To provide cloud storage solutions
  • B. To build conversational interfaces for applications
  • C. To enhance physical robotics with AI capabilities
  • D. To manage large data sets efficiently
Answer: B

NEW QUESTION # 108
Which statement is true about Cloud Pak for Data SIEM integration?
  • A. The Cloud Pak for Data Audit Logging Service explicitly supports the SIEM solutions: Splunk, QRadar, and Log360.
  • B. The Cloud Pak for Data Audit Logging Service uses Fluentd input streams to forward and export audit records.
  • C. Auditing logging is supported by all Cloud Pak for Data components and services.
  • D. If a connection to multiple SIEM systems has been established, the same method must be used to connect to each SIEM system.
Answer: B
Explanation:
Cloud Pak for Data provides audit logging capabilities via the Audit Logging Service, which uses Fluentd to collect, process, and forward log data to external SIEM solutions. Fluentd input streams are configured to export audit records in real time. While Splunk and QRadar are common integrations, Log360 is not explicitly listed in the official supported list. Each SIEM connection can be configured independently, and while audit logging is widely supported, it may not be enabled by default for every single service-therefore only option B is correct.

NEW QUESTION # 109
What can be used to deliver business-ready data to feed AI and analytics projects?
  • A. IBM Knowledge Catalog for Cloud Pak for Data
  • B. Watson Machine Learning for Cloud Pak for Data
  • C. IBM Data Catalog for Cloud Pak for Data
  • D. Watson Machine Learning Accelerator on Cloud Pak for Data
Answer: A
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 # 110
In deciding between managed and self-managed OpenShift for Cloud Pak for Data, what are key factors to consider?
  • A. Cost considerations
  • B. Desired level of control over the environment
  • C. Compliance requirements
  • D. In-house technical expertise
Answer: A,B,D

NEW QUESTION # 111
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