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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 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 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	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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q64-Q69):

NEW QUESTION # 64
When planning the integration of IBM Cloud Pak for Data with existing enterprise systems, which aspect is crucial for ensuring seamless connectivity and data exchange? (Select two)

A. User authentication mechanisms
B. API compatibility
C. Network bandwidth
D. Data encryption standards

Answer: B,C

NEW QUESTION # 65
Which of the following best explains the business impact of integrating Watson Assistant into customer service operations?

A. It escalates the operational costs significantly.
B. It reduces the overall user satisfaction.
C. It decreases the necessity for human interaction in customer service.
D. It increases the complexity of the IT infrastructure.

Answer: C

NEW QUESTION # 66
Which API allows the management of users, roles, and authentication, as well as monitors the status of the Cloud Pak for Data platform?

A. Watson Data
B. Cloud Pak for Data Platform
C. Alerting
D. Credentials and Secrets

Answer: B

NEW QUESTION # 67
In DataStage, how is workload management typically achieved?

A. By manually distributing tasks across nodes
B. Through an automated, policy-driven approach
C. By prioritizing workloads based solely on data volume
D. By employing external workload management tools

Answer: B

NEW QUESTION # 68
What is Continuous Availability in the context of system design?

A. Planning for frequent and prolonged outages
B. Allowing occasional system failures without backup
C. Achieving near-zero downtime and data loss
D. Ensuring systems are never updated or maintained

Answer: C

NEW QUESTION # 69
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