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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	Architect with Data Source Services: This domain measures expertise of a Data Integration Architect and includes architecting solutions with data replication technologies to synchronize data across systems. IBM Data Virtualization architecture enables access to and querying of disparate data sources without data movement. Architecting with watsonx.data focuses on building intelligent data lakes and query engines. Architecting with Db2-related services involves designing scalable data management and processing architectures using IBM's Db2 platforms.
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 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q42-Q47):

NEW QUESTION # 42
What is a primary benefit of using watsonx.data over traditional data warehouse solutions?

A. Limited data scalability
B. Lower data latency
C. Increased data redundancy
D. Reduced data flexibility

Answer: B

NEW QUESTION # 43
Which of the following is a benefit of multi-tenancy in cloud environments?

A. Increased resource consumption per tenant
B. Decreased operational efficiency
C. Compromised data security between tenants
D. Cost reduction by sharing infrastructure

Answer: D

NEW QUESTION # 44
When creating a Db2 Big SQL service instance, which two service resource items should be taken into account when sizing the cluster?

A. Amount of memory
B. Maximum expected throughput
C. Number of physical cores
D. Number of virtual cores
E. Number of workers

Answer: A,E

Explanation:
When provisioning a Db2 Big SQL service instance in IBM Cloud Pak for Data, key considerations include the amount of memory available per worker node and the total number of worker nodes. These factors directly affect query execution parallelism and system capacity. The system does not distinguish between physical and virtual cores at the configuration level.
Throughput is an outcome of sizing, not a direct sizing parameter. Therefore, memory and number of workers are the two most critical sizing metrics.

NEW QUESTION # 45
When assessing migration requirements to Cloud Pak for Data, what key elements should be evaluated to ensure a seamless transition?

A. Training needs for users
B. Custom code and integrations
C. Regulatory compliance impacts
D. Data compatibility and format

Answer: B,C,D

NEW QUESTION # 46
When planning the integration of IBM Cloud Pak for Data with existing enterprise systems, which aspect is crucial for ensuring seamless connectivity and data exchange? (Select two)

A. User authentication mechanisms
B. API compatibility
C. Network bandwidth
D. Data encryption standards

Answer: B,C

NEW QUESTION # 47
......

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