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Efficient C1000-173 New Guide Files for Real Exam

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Efficient C1000-173 New Guide Files for Real Exam

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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
  • 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q72-Q77):NEW QUESTION # 72
Which statement is true about governing data lakes in IBM Knowledge Catalog?
  • A. It increases the time and effort required for data discovery and cataloging.
  • B. It automates data discovery and provides access to enterprise data through virtualization.
  • C. All data is masked with no user intervention.
  • D. It relies on manual processes for accessing enterprise data.
Answer: B
Explanation:
Within IBM Knowledge Catalog as part of IBM Cloud Pak for Data, governing data lakes is enabled via integration with Data Virtualization. This approach supports automated data discovery, cataloging, tagging, and virtualization, allowing users to access enterprise data virtually-without physical movement. Policies and governance metadata are applied automatically to virtualized assets, enabling secure and efficient data consumption. Manual processes are not required for discovery, and data is masked selectively based on policies-not completely masked without user intervention. Thus automation and virtualization are central, making statement B correct.

NEW QUESTION # 73
Which Watson Assistant service captures telephone voice interactions for use by a cognitive agent or as a transcription for analytics processing?
  • A. Voice Gateway
  • B. Voice Transcriber
  • C. Voice Analyzer
  • D. Voice Agent
Answer: A
Explanation:
Watson Assistant integrates with telephone systems through the Voice Gateway service. Voice Gateway captures real-time telephone voice interactions and can route them to a Watson Assistant chatbot or forward them for transcription and analytics. It enables cognitive agents to interact over voice channels and supports integration with SIP-based telephony systems. Voice Agent, Analyzer, and Transcriber are not standard Watson Assistant components within Cloud Pak for Data.

NEW QUESTION # 74
In an air-gapped environment, what is a primary security measure?
  • A. Frequent online software updates
  • B. Continuous internet monitoring
  • C. Physical access controls
  • D. Use of cloud-based services
Answer: C

NEW QUESTION # 75
When upgrading to Cloud Pak for Data v4.7, why must an export/import of governance data be performed?
  • A. Containers are ephemeral and cannot persist the data.
  • B. Components of Information Server have been removed from the product.
  • C. The underlying Db2 repository has been altered.
  • D. Catalog data must be relocated to persistent storage.
Answer: C
Explanation:
During the upgrade to Cloud Pak for Data version 4.7, significant changes were made to the underlying metadata repository, which is powered by Db2. These changes affect how governance data is stored and accessed, and an export/import is necessary to ensure compatibility and data integrity. The export step extracts governance metadata using the supported utility, and after the upgrade, it is re-imported into the upgraded structure. This is not due to container ephemerality or storage changes, but because of schema and format changes in Db2.

NEW QUESTION # 76
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. Data movement between nodes must be blocked via firewall rules.
  • C. Platform monitoring messages are sent via an internet messaging hub.
  • D. Utilities, like pip, still require a connection to the internet by default.
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 # 77
......
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