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Success in the C1000-173 test of the IBM C1000-173 credential is essential in today's industry to verify the skills and get well-paying jobs in reputed firms around the whole globe. Earning the IBM Cloud Pak for Data v4.7 Architect C1000-173 Certification sharpens your skills and helps you to accelerate your career in today's cut throat competition in the IBM industry. It is not easy to clear the C1000-173 exam on the maiden attempt.

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 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 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 5
  • 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.

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IBM C1000-173 Exam Questions are Available in 3 Easy-to-Understand Formats

To add all these changes in the C1000-173 exam questions we have hired a team of exam experts. They regularly update the IBM Cloud Pak for Data v4.7 Architect (C1000-173) exam questions as per the latest C1000-173 Exam Syllabus. So you have the option to get free C1000-173 exam questions update for up to 1 year from the date of C1000-173 exam questions purchase.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q69-Q74):

NEW QUESTION # 69
Which two Cloud Pak for Data services support the multi-tenancy mechanism of installing the service once and provisioning the workloads in tethered projects?

Answer: B,E

Explanation:
Cloud Pak for Data supports service-level multi-tenancy by enabling some services to be installed centrally and then provisioned into user "tethered" namespaces (projects). In version 4.7, Analytics Engine (Apache Spark) and IBM Data Virtualization services support this tethered#project model: they can be installed once and then instantiated per project across multiple tenants. Core services like Db2, Cognos Analytics, and Watson Pipelines in 4.7 require installation per instance and do not yet support tethered#namespace provisioning via multi#tenant model.


NEW QUESTION # 70
What is the primary function of IBM Watson Assistant?

Answer: B


NEW QUESTION # 71
What is the function of IBM Cloud Pak for Data's governance framework?

Answer: D

Explanation:
The governance framework in IBM Cloud Pak for Data provides tools to ensure data privacy, security, and compliance. It helps organizations manage and protect data assets, ensuring that data usage adheres to corporate policies and regulations.


NEW QUESTION # 72
What are tethered projects in the context of IBM Cloud Pak for Data?

Answer: D


NEW QUESTION # 73
What is Data Refinery best described as?

Answer: C


NEW QUESTION # 74
......

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