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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
  • 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 3
  • 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 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.
Topic 5
  • 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 (Q85-Q90):

NEW QUESTION # 85
When upgrading to Cloud Pak for Data v4.7, why must an export/import of governance data be performed?

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 # 86
In which situation would you specifically label nodes for DB2 workloads?

Answer: C


NEW QUESTION # 87
How does Watson Assistant support voice interaction?

Answer: C


NEW QUESTION # 88
Which API allows the management of users, roles, and authentication, as well as monitors the status of the Cloud Pak for Data platform?

Answer: D


NEW QUESTION # 89
How does Cloud Pak for Data leverage OpenShift to enhance service availability?

Answer: A


NEW QUESTION # 90
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