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IBM C1000-173 Exam Syllabus Topics:

Topic
Details

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

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 (Q116-Q121):

NEW QUESTION # 116
What outcomes can be achieved from Match 360?

A. Produces a AI based dashboard to let users analyze business data.
B. Connect disparate data sources to provide a virtual view of your data.
C. Uses a dialog format to talk with your data to get insights.
D. Produces statistics and graphs to let users analyze and explore master data.

Answer: D

Explanation:
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data. It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).

NEW QUESTION # 117
When planning for the data management console in Db2, what functionality is crucial for effective database management?

A. Limited visibility over data and queries
B. Restricting user access to essential functionalities only
C. Comprehensive monitoring and management features
D. Avoiding integration with other Db2 services

Answer: C

NEW QUESTION # 118
How does Cloud Pak for Data leverage OpenShift to enhance service availability?

A. By limiting the deployment of containerized applications
B. Ignoring cluster health and resource allocation
C. Through automatic failover and recovery mechanisms
D. By reducing system scalability and redundancy

Answer: C

NEW QUESTION # 119
If a Cloud Pak for Data cluster is air-gapped, it is unable to reach the internet, and a private registry must be configured for installations and upgrades. Beyond container images, what other components need to be addressed?

A. Utilities, like pip, still require a connection to the internet by default.
B. Data movement between nodes must be blocked via firewall rules.
C. Platform monitoring messages are sent via an internet messaging hub.
D. License validation requires periodic updates via internet proxy.

Answer: A

Explanation:
In air-gapped (offline) environments, it's not just the container images that require preparation. Package managers like pip (for Python) and other utilities commonly attempt to pull dependencies from public internet repositories. These must be redirected to internal mirrors or handled via offline bundles. If left unaddressed, certain operations within components like Jupyter notebooks, Watson Studio, or pipelines may fail. License validation and monitoring do not inherently require internet access, and data movement between nodes is part of normal cluster function-not something to be blocked.

NEW QUESTION # 120
What is the significance of planning an environment for multiple Cloud Pak deployments?

A. Customizing each deployment based on tenant needs and usage patterns
B. To reduce the operational complexity and management overhead
C. Avoiding the use of projects and namespaces for simplicity
D. Ensuring a one-size-fits-all approach to resource allocation

Answer: A

NEW QUESTION # 121
......

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