IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 4	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.

Reference: https://www.ibm.com/training/certification/ibm-certified-architect-cloud-pak-for-data-v47-C9006000#exam

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IBM Cloud Pak for Data v4.7 Architect Sample Questions:

Question #1
Which two of the following can be used with Watson Pipelines?

A. Postgres
B. PowerShell
C. Bash scripts
D. Db2 Big SQL
E. Notebooks

Question #2
In a multi-tenant Cloud Pak for Data environment, which aspects are critical to ensure efficient resource allocation and isolation?

A. Isolated data storage
B. Customizable user interfaces
C. Dedicated network resources per tenant
D. Resource quotas per tenant

Question #3
In the context of auditing, what does immutable logging ensure?

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

Question #4
In the context of IBM Cloud Pak for Data, which statement best describes the purpose of using OpenShift Operators?

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

Question #5
A Cloud Pak for Data installation was initially deployed on Microsoft Azure via the automated deployment option. What can be used to upgrade the environment?

A. Command Line Interface (CLI)
B. PowerShell
C. Cloud Providers Marketplace
D. GitHub Repo

Solutions:

Question #1
Correct Answer: C,E

Question #2
Correct Answer: A,C,D

Question #3
Correct Answer: D

Question #4
Correct Answer: A

Question #5
Correct Answer: A