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IBM C1000-173 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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
Topic 2: Architect with Data Governance Services	20%	- Leverage knowledge accelerators and governance frameworks - Implement data privacy and regulatory compliance architectures - Design knowledge catalog and data discovery solutions
Topic 3: Security and Compliance Architecture	22%	- Implement auditing and compliance controls - Design identity and access management - Plan certificate management and secure communications - Secure data exchange and integration
Topic 4: Plan for a Cloud Pak for Data Implementation	25%	- Design for multi-tenancy and migration - Plan backup, restore, high availability and disaster recovery - Size and design OpenShift/Kubernetes infrastructure - Assess requirements and select appropriate services
Topic 5: Operational Readiness and Scalability	15%	- Plan for scalability, performance and lifecycle management - Design monitoring, logging and operational processes

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q165-Q170):

NEW QUESTION # 165
How do Access Control Lists (ACLs) benefit Db2 services security architecture?

A. Enabling detailed permissions management
B. By allowing unrestricted access to all users
C. Simplifying user authentication processes
D. Reducing the granularity of access control

Answer: A

NEW QUESTION # 166
Which two of the following can be used with Watson Pipelines?

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

Answer: C,D

Explanation:
Watson Pipelines in Cloud Pak for Data support orchestration of diverse workload types including notebooks (Python or similar interactive environments) and scripts such as Bash. These pipeline components allow integration of notebook cells or shell scripts as tasks. There is no built#in support for executing PowerShell tasks directly (unless wrapped in Bash-like containers), and Postgres is used as a data source-not a pipeline component type. While Db2 Big SQL can be invoked within a notebook or script, it is not itself a pipeline component. Therefore the supported types in pipelines are notebooks and Bash scripts.

NEW QUESTION # 167
Insurance industry datasets frequently include personally identifiable information (PII) and many data analysts need access to datasets but not to PII. Which Cloud Pak for Data services leverage Data Protection Rules?

A. Data Refinery, Watson Pipeline, and Watson Studio
B. Watson Discovery and Watson Assistant
C. IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog
D. DataStage, SPSS Modeler, and Python Notebooks

Answer: C

Explanation:
IBM Cloud Pak for Data includes built-in Data Protection Rules to enforce access control on sensitive data, such as PII. These rules are integrated directly into services like IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog. When analysts or applications access data through these services, the platform automatically masks, obfuscates, or restricts access to sensitive fields based on the defined policies. This ensures compliance with data privacy regulations and organizational security policies without manual intervention.

NEW QUESTION # 168
After installing Watson Assistant, which of the following tasks are crucial? (Select two)

A. Setting up a blockchain network
B. After installing Watson Assistant, which of the following tasks are crucial?
C. Integrating with existing databases and applications
D. Establishing a continuous integration pipeline

Answer: B,C

NEW QUESTION # 169
Why is tethering projects to the IBM Cloud Pak for Data control plane beneficial?

A. It ensures all projects are untethered for greater flexibility
B. Enhances project isolation while enabling resource access control
C. It prevents any form of project organization
D. Disallows resource monitoring and management

Answer: B

NEW QUESTION # 170
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