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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 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 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	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 5	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 (Q63-Q68):

NEW QUESTION # 63
What post-installation step is essential for enhancing Watson Assistant's performance? (Select two)

A. Training the AI model with domain-specific data
B. Increasing the physical memory of the server
C. Setting up feedback loops for continuous improvement
D. Increasing the physical memory of the server

Answer: A,C

NEW QUESTION # 64
What is the role of a "Connection" in the Cloud Pak for Data connectivity framework?

A. Provide metadata for data transformation.
B. Store and mange data locally on the platform for data co-location.
C. Move and copy data between data sources using optimized communication protocols.
D. Act as a reference to the data source environment without data movement.

Answer: D

Explanation:
In IBM Cloud Pak for Data, a "Connection" is a configuration object that defines how to access an external data source, such as Db2, Oracle, or an S3 bucket. It does not involve moving or copying data. Instead, it acts as a reference to the external data source environment, enabling users to browse, query, and analyze the data in place. This approach supports virtualized access and governance while avoiding data duplication and ensuring data stays within its source system, aligning with enterprise data security policies.

NEW QUESTION # 65
An enterprise architect in a financial institute is deciding on the deployment option for Cloud Pak for Data on their existing OpenShift Container Platform cluster. They have decided to use an automated deployment option and install Cloud Pak for Data from the cloud provider's marketplace. What are the limitations they may face with this decision?

A. Cloud Pak for Data operators cannot be co-located with the IBM Cloud Pak foundational services operators.
B. Automatic installation cannot be done for any of the Cloud Pak for Data services.
C. Partial installation of the Cloud Pak for Data has to be done manually for the first time installation.
D. Cloud Pak for Data cannot be installed on an existing cluster.

Answer: C

Explanation:
Partial installation of Cloud Pak for Data must be done manually during the first-time installation, especially when the installation is performed from the cloud provider's marketplace. Certain steps in the installation process may need to be done manually, such as the configuration of services or additional customization needed for the specific environment.

NEW QUESTION # 66
What is one benefit that collaborators in a catalog have in IBM Knowledge Catalog?

A. They can only access data stored in PDF documents.
B. They have full access to unstructured data in the catalog.
C. They can see all the credentials associated with the data.
D. They can access data assets without needing separate credentials.

Answer: D

Explanation:
Collaborators in IBM Knowledge Catalog are granted access to data assets that have been properly governed and made available through connections. Once a connection is established by an administrator or asset owner, users with collaborator roles can access the data without needing to re-enter credentials. This simplifies secure data consumption and aligns with enterprise access control policies. They do not see underlying credentials, and access is not limited to document types like PDFs.

NEW QUESTION # 67
What statement is true about tethered projects?

A. Tethered projects can be shared by multiple instances of Cloud Pak for Data.
B. Use tethered projects to isolate service instances or workloads from the rest of the Cloud Pak for Data deployment.
C. A tethered project cannot have its own NetworkPolicies, SecurityContext and ResourceQuota.
D. All Cloud Pak for Data services support running workloads or service instances in tethered projects.

Answer: B

NEW QUESTION # 68
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