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IBM C1000-173 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Plan for a Cloud Pak for Data Implementation	25%	- Plan backup, restore, high availability and disaster recovery - Size and design OpenShift/Kubernetes infrastructure - Assess requirements and select appropriate services - Design for multi-tenancy and migration
Topic 2: Operational Readiness and Scalability	15%	- Plan for scalability, performance and lifecycle management - Design monitoring, logging and operational processes
Topic 3: Architect with Data Source and Integration Services	18%	- Design data replication and integration architectures - Architect with watsonx.data and Db2 services - Implement data virtualization solutions
Topic 4: Security and Compliance Architecture	22%	- Secure data exchange and integration - Implement auditing and compliance controls - Plan certificate management and secure communications - Design identity and access management
Topic 5: Architect with Data Governance Services	20%	- Implement data privacy and regulatory compliance architectures - Design knowledge catalog and data discovery solutions - Leverage knowledge accelerators and governance frameworks

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q147-Q152):

NEW QUESTION # 147
The data integration team at a financial services company has always struggled to manage resources as the number of integration jobs changes throughout the month.
Which two settings are available when configuring Dynamic Workload Management for a specific DataStage instance?

A. Job Count (JobCount)
B. Job Configuration File (APT_CONFIG_FILE)
C. ETL/ELT Mode (ETL, ELT, or Hybrid)
D. Job Log Retention (log_retention)
E. Auto-scaling (computePodsMin, computePodsMax)

Answer: A,E

NEW QUESTION # 148
In which situation would you specifically label nodes for DB2 workloads?

A. When all nodes are utilized for identical tasks
B. To distinguish between different data or workload types
C. For reducing overall system performance
D. When node differentiation is unnecessary

Answer: B

NEW QUESTION # 149
How are caches defined in IBM Data Virtualization?

A. They are created automatically based on usage patterns.
B. DataStage flows are created in a project for maintaining caches.
C. Caches are manually defined based on recommendations and monitoring data.
D. Caches are suggested based on statistics collected during data source configuration.

Answer: C

Explanation:
In IBM Data Virtualization, caches must be manually defined by administrators. While monitoring and query performance statistics can guide where caching would be beneficial, the creation and configuration of caches (e.g., refresh schedules and scope) are manual tasks. There is no automated cache creation mechanism (A), nor are DataStage flows used for cache maintenance (B). Suggestions based on statistics (D) may assist administrators, but they do not automatically create the caches.

NEW QUESTION # 150
Why is tethering projects to the IBM Cloud Pak for Data control plane beneficial?

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

Answer: D

NEW QUESTION # 151
For achieving optimal performance in IBM Cloud Pak for Data, which storage solution should be utilized for analytical workloads requiring high IOPS?

A. Block storage
B. SSD-based storage
C. File storage
D. Object storage

Answer: B

NEW QUESTION # 152
......

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