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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 (Q12-Q17):

NEW QUESTION # 12
For ensuring high availability and disaster recovery in Cloud Pak for Data, which of the following components should be made redundant?

A. User access portals
B. Data storage
C. Application servers
D. Network paths

Answer: B,C,D

NEW QUESTION # 13
In the context of auditing, what does immutable logging ensure?

A. High availability
B. Non-repudiation
C. Log storage optimization
D. User authentication

Answer: B

NEW QUESTION # 14
What is a key security feature to manage for data stores in Watson Assistant?

A. Biometric access controls for system administrators
B. Two-factor authentication for user logins
C. Physical security of data centers
D. Data encryption both at rest and in transit

Answer: D

NEW QUESTION # 15
When assessing migration requirements to Cloud Pak for Data, what key elements should be evaluated to ensure a seamless transition?

A. Custom code and integrations
B. Regulatory compliance impacts
C. Data compatibility and format
D. Training needs for users

Answer: A,B,C

NEW QUESTION # 16
Which Watson Pipeline component puts a value in columns so it can be consumed by DataStage?

A. Set User Variables
B. Initialize User Values
C. Instantiate User Columns
D. Prepare User Parameters

Answer: A

Explanation:
In Watson Pipelines, the component that enables users to define and assign values that can be referenced later in the pipeline-including by downstream components like DataStage-is Set User Variables. This component allows the user to create name-value pairs and store them as environment variables, which are accessible to DataStage and other execution blocks. This ensures dynamic parameter passing and enhances pipeline reusability. The other options listed do not correspond to valid Watson Pipeline components as defined in the official Cloud Pak for Data 4.7 release.

NEW QUESTION # 17
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