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[General] Reliable C1000-173 Exam Engine and C1000-173 Training Materials - Dumpkiller

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【General】 Reliable C1000-173 Exam Engine and C1000-173 Training Materials - Dumpkiller

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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 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
  • 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q60-Q65):NEW QUESTION # 60
When granting a user access to the Data Engineer role, which two permissions will the user be associated with as part of this role?
  • A. Manage data protection rules
  • B. Manage platform
  • C. Create projects
  • D. Manage workflows
  • E. Monitor project workload
Answer: A,C
Explanation:
The Data Engineer role in IBM Cloud Pak for Data includes permissions necessary for managing the data pipeline lifecycle. This includes the ability to create projects, manage data assets, and configure data protection rules, which are critical for ensuring data privacy and governance. The role does not include platform-level administrative privileges like managing the platform or monitoring all workloads. Workflow management is typically assigned to users with broader project or orchestrator roles.

NEW QUESTION # 61
What must be created to enable the Cloud Pak for Data platform to use a company's custom CA certificate to validate certificates from internal servers?
  • A. A secret that contains the company's CA certificate.
  • B. A configmap that contains all internal server certificate chains.
  • C. A configmap that contains the company's CA certificate.
  • D. A secret containing a wildcard certificate for all internal servers.
Answer: C
Explanation:
To enable IBM Cloud Pak for Data to trust certificates from internal servers using a custom Certificate Authority (CA), the correct method is to create a Kubernetes ConfigMap that contains the CA certificate. This ConfigMap is referenced by the platform's foundational services to include the CA in the trusted root store.
Secrets are typically used for storing sensitive data like private keys and TLS certificates but are not used for adding trusted root CAs at the platform level. A ConfigMap is explicitly required by the platform to inject the CA trust into the certificate validation chain.

NEW QUESTION # 62
Which two features are valid only when deploying Cloud Pak for Data on-premises?
  • A. Compute resources are automatically scaled.
  • B. Services are automatically updated.
  • C. Network security is managed by IBM.
  • D. Persistent storage is always used.
  • E. The number of OpenShift nodes is configured by the administrator.
Answer: D,E
Explanation:
In on-premises deployments of IBM Cloud Pak for Data:
Administrators have full control over the number of OpenShift nodes, unlike cloud-managed environments where node scaling may be automatic or abstracted.
Persistent storage is always required and configured by the infrastructure team to meet service requirements and ensure data availability.
Auto-scaling of compute and automatic updates of services are not handled by IBM in on-prem setups.
Network security responsibilities also lie with the deploying organization, not IBM, in an on-premises model.

NEW QUESTION # 63
What endpoint will an application use to interact with Db2 Big SQL?
  • A. System Local Efficient Endpoint Pathways (SLEEP)
  • B. Representative State Transfer (REST) Endpoint
  • C. Simple Normalized Optimum Representative Endpoint (SNORE)
  • D. Dynamic Representative Endpoint Activation Mobility (DREAM)
Answer: B
Explanation:
Applications interact with Db2 Big SQL using industry-standard protocols. The most common and supported interface is through a REST (Representative State Transfer) API endpoint. REST endpoints allow for external applications to query, manage, and manipulate data within Big SQL using simple HTTP calls. None of the other options-SLEEP, SNORE, or DREAM-are valid or recognized interfaces in IBM Cloud Pak for Data or Db2 Big SQL documentation.

NEW QUESTION # 64
Which of the following are components of identity management systems? (Select two)
  • A. Authentication
  • B. User provisioning
  • C. Tokenization
  • D. Risk analysis
Answer: A,B

NEW QUESTION # 65
......
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