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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q62-Q67):

NEW QUESTION # 62
What is the purpose of configuring access to a Git repository associated with a project in Cloud Pak for Data?

A. To delete the repository and create a new one.
B. To enhance data visualization in JupyterLab or RStudio.
C. To manage the deployment of a model to a project space.
D. To collaborate with others, manage file versions, and enable branching.

Answer: D

Explanation:
Configuring access to a Git repository in Cloud Pak for Data projects allows teams to collaborate on code, notebooks, and assets while benefiting from version control and branching. This setup ensures that all project files can be tracked, reverted, or merged, enabling collaborative development and continuous integration workflows. It is not used for model deployment management (B) or visualization enhancements (C). Option D is unrelated to the actual purpose of Git integration.

NEW QUESTION # 63
What is the purpose of the IBM Data Replication service?

A. To provide a unified view of disparate data sources.
B. To monitor database activity.
C. To transform and validate data moving from source to target.
D. To integrate and synchronize data.

Answer: D

Explanation:
The IBM Data Replication service in Cloud Pak for Data is designed to integrate and synchronize data between various systems, ensuring that data in target systems is kept up-to-date with the source systems. It supports near real-time replication and change data capture (CDC) mechanisms, making it ideal for analytics environments that require continuous synchronization. The service is not a tool for database activity monitoring (A), creating unified virtual views (B), or performing heavy data transformations (D).

NEW QUESTION # 64
Which statement is true about governing data lakes in IBM Knowledge Catalog?

A. It automates data discovery and provides access to enterprise data through virtualization.
B. It relies on manual processes for accessing enterprise data.
C. It increases the time and effort required for data discovery and cataloging.
D. All data is masked with no user intervention.

Answer: A

Explanation:
Within IBM Knowledge Catalog as part of IBM Cloud Pak for Data, governing data lakes is enabled via integration with Data Virtualization. This approach supports automated data discovery, cataloging, tagging, and virtualization, allowing users to access enterprise data virtually-without physical movement. Policies and governance metadata are applied automatically to virtualized assets, enabling secure and efficient data consumption. Manual processes are not required for discovery, and data is masked selectively based on policies-not completely masked without user intervention. Thus automation and virtualization are central, making statement B correct.

NEW QUESTION # 65
What is a significant advantage of using Db2 services in a cloud environment?

A. Reduced physical storage requirements
B. Enhanced data security
C. Decreased processing speed
D. Limited data scalability

Answer: A

NEW QUESTION # 66
After importing IBM Knowledge Accelerator assets using an API endpoint, what change must be made before the assets can be used by the appropriate users?

A. Add users to the Knowledge Accelerators security group.
B. Ensure a shared credential has been configured.
C. Add collaborators to the Knowledge Accelerators categories.
D. Ensure the user permission role is active.

Answer: C

Explanation:
After importing IBMKnowledge Accelerator(KA) assets using an API (or other methods), those assets - such as categories, terms, and relationships - are part ofgovernance artifactsin Cloud Pak for Data.
However,to make them usable by specific users, youmust assign collaboratorsto the relevantcategories.
This ensures users have the appropriatepermissions(e.g., to view, curate, or manage terms) within the Information Governance Catalog (IGC) or Watson Knowledge Catalog.

NEW QUESTION # 67
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