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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 4	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 5	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 (Q131-Q136):

NEW QUESTION # 131
After importing IBM Knowledge Accelerator assets using an API endpoint, what change must be made before the assets can be used by the appropriate users?

A. Ensure a shared credential has been configured.
B. Add users to the Knowledge Accelerators security group.
C. Ensure the user permission role is active.
D. Add collaborators to the Knowledge Accelerators categories.

Answer: D

Explanation:
After importing IBMKnowledge Accelerator(KA) assets using an API (or other methods), those assets - such as categories, terms, and relationships - are part ofgovernance artifactsin Cloud Pak for Data.
However,to make them usable by specific users, youmust assign collaboratorsto the relevantcategories.
This ensures users have the appropriatepermissions(e.g., to view, curate, or manage terms) within the Information Governance Catalog (IGC) or Watson Knowledge Catalog.

NEW QUESTION # 132
When choosing between data replication and an ETL tool, which aspect of minimizing the impact of outages is enhanced by data replication?

A. Reduced emphasis on disaster recovery planning
B. Longer data recovery times
C. Quick resumption of data availability
D. Increased risk of data inconsistency post-outage

Answer: C

NEW QUESTION # 133
In the context of IBM Cloud Pak for Data, which statement best describes the purpose of using OpenShift Operators?

A. To enable automatic scaling of deployed services
B. To provide logging and monitoring capabilities
C. To automate the deployment of Kafka clusters
D. To manage the lifecycle of Cloud Pak services

Answer: D

NEW QUESTION # 134
What are the critical metrics to understand in a Disaster Recovery plan?

A. Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
B. Peak Load Time (PLT) and Off-Peak Recovery Time (OPRT)
C. System Downtime Duration (SDD) and Data Access Time (DAT)
D. Maximum Tolerable Downtime (MTD) and Minimum Necessary Downtime (MND)

Answer: A

NEW QUESTION # 135
In Data Stage, why is the choice of storage class important?

A. Influences data processing capabilities and speed
B. Storage class choice is purely cosmetic
C. It affects only the color scheme of the visualizations
D. Determines the storage class name length only

Answer: A

NEW QUESTION # 136
......

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