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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
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	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.
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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q41-Q46):

NEW QUESTION # 41
When architecting a solution with Match 360, what is a crucial aspect to ensure data quality and consistency?

A. Avoiding real-time data updates
B. Limiting data source variety
C. Decreasing data transparency
D. Implementing comprehensive entity resolution capabilities

Answer: D

NEW QUESTION # 42
When migrating DataStage, what are key considerations? (Select two)

A. Ensuring compatibility of data formats between old and new systems
B. Maintaining data encryption standards throughout the process
C. Checking the network bandwidth availability
D. Ensuring uninterrupted power supply during migration

Answer: A,B

NEW QUESTION # 43
In deciding between managed and self-managed OpenShift for Cloud Pak for Data, what are key factors to consider?

A. Desired level of control over the environment
B. Cost considerations
C. In-house technical expertise
D. Compliance requirements

Answer: A,B,C

NEW QUESTION # 44
Which component must be enabled in order to render business lineage when installing IBM Knowledge Catalog?

A. Data graph
B. Knowledge graph
C. Automated metadata lineage
D. Data quality

Answer: B

Explanation:
Business Lineage and Knowledge Graph: IBM Knowledge Catalog leverages a Knowledge Graph to store and visualize the relationships between various assets, including data assets, governance artifacts (like business terms), and the flow of data. Business lineage, which shows the end-to-end journey of data in business terms, relies heavily on these interconnected relationships within the Knowledge Graph. Documentation Confirmation: IBM's documentation explicitly states: "To view lineage, you can have any role in a catalog. Optional This feature is not available by default. Knowledge graph must be installed with IBM Knowledge Catalog, IBM Knowledge Catalog Premium, or IBM Knowledge Catalog Standard. For information on installing knowledge graph, see Specifying additional installation options in the IBM Software Hub documentation." (Source: IBM Documentation on Lineage). It further clarifies, "Enable knowledge graph to gain access to the lineage feature, business-term relationship search, and the relationship explorer."

NEW QUESTION # 45
Which two features are valid only when deploying Cloud Pak for Data on-premises?

A. Network security is managed by IBM.
B. Services are automatically updated.
C. Persistent storage is always used.
D. Compute resources are automatically scaled.
E. The number of OpenShift nodes is configured by the administrator.

Answer: C,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 # 46
......

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