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IBM C1000-173 Exam Syllabus Topics:

Section	Weight	Objectives
Operational Readiness and Scalability	15%	- Design monitoring, logging and operational processes - Plan for scalability, performance and lifecycle management
Architect with Data Governance Services	20%	- Design knowledge catalog and data discovery solutions - Implement data privacy and regulatory compliance architectures - Leverage knowledge accelerators and governance frameworks
Security and Compliance Architecture	22%	- Implement auditing and compliance controls - Plan certificate management and secure communications - Secure data exchange and integration - Design identity and access management
Plan for a Cloud Pak for Data Implementation	25%	- Size and design OpenShift/Kubernetes infrastructure - Design for multi-tenancy and migration - Plan backup, restore, high availability and disaster recovery - Assess requirements and select appropriate services
Architect with Data Source and Integration Services	18%	- Architect with watsonx.data and Db2 services - Design data replication and integration architectures - Implement data virtualization solutions

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q68-Q73):

NEW QUESTION # 68
How does Watson Assistant support voice interaction?

A. By providing real-time translation services for multilingual support
B. By analyzing tone and emotion in user's voice inputs
C. By converting text responses to voice using text-to-speech (TTS) technology
D. By directly connecting to telephony systems without additional integration

Answer: C

NEW QUESTION # 69
Which of the following best describes the business value of DataStage?

A. It decreases the flexibility in handling various data formats.
B. It increases the need for manual intervention in data processing.
C. It solely enhances the aesthetic appeal of data reports.
D. It reduces the operational cost by automating data integration tasks.

Answer: D

NEW QUESTION # 70
Which of the following is watsonx.data most similar to?

A. A data warehouse only
B. A transactional database
C. A data lake only
D. A combination of data warehouse and data lake

Answer: D

Explanation:
watsonx.data is an open hybrid data lakehouse platform, combining the strengths of a data lake (flexibility and cost efficiency for unstructured data) with the structured query and performance features of a data warehouse. It is designed to handle both analytics and large-scale data storage, making it a hybrid solution rather than exclusively a data lake or data warehouse.

NEW QUESTION # 71
What is the purpose of configuring access to a Git repository associated with a project in Cloud Pak for Data?

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

Answer: C

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 # 72
What is a key method to achieve multi-tenancy within a single instance of Cloud Pak for Data?

A. Ignoring resource quotas
B. Utilizing shared namespaces for all tenants
C. Combining data from all tenants
D. Utilizing shared namespaces for all tenants

Answer: B

NEW QUESTION # 73
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