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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	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 4	Architect with AI Series: This section measures the skills of an AI Solution Architect and includes designing architectures for solutions involving various IBM Watson AI services. Architecting with Watson Assistant involves creating conversational AI interfaces. Watson Discovery solutions focus on building cognitive search and content analytics applications. Watson Pipelines solutions involve orchestrating data science workflows. Watson OpenScale architectures enable AI model monitoring and governance. Architecting with Match 360 supports personalized engagement by integrating multi-channel customer insights.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q104-Q109):

NEW QUESTION # 104
What is the purpose of the IBM Data Replication service?

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

Answer: B

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 # 105
How does watsonx.data provide data sharing between Db2 Warehouse, Netezza, and any other data management solution?

A. Secure File Transfer Protocol (SFTP)
B. JSON file format
C. Iceberg tables
D. watsonx.data proprietary fast loader

Answer: C

Explanation:
watsonx.data uses Apache Iceberg tables as the open table format for data sharing across platforms like Db2 Warehouse, Netezza, and other compatible data management solutions. Iceberg provides a transactional and schema-evolution-friendly table layer, allowing multiple engines to read and write data concurrently. This approach avoids proprietary loaders or simple file transfers and ensures efficient interoperability between different systems.

NEW QUESTION # 106
Comparing data replication with an ETL tool, which feature is exclusive to data replication concerning real-time data changes?

A. Deferred data update capabilities
B. Immediate data synchronization
C. Reduced data consistency
D. Batch processing of data changes

Answer: B

NEW QUESTION # 107
How does the IBM Data Virtualization service virtualize files in shared directories?

A. Users add shared file systems in the UI.
B. A remote connector is installed and run on the source server.
C. It scans its network for open file shares.
D. Administrators configure FTP connections to the file source.

Answer: B

Explanation:
To virtualize files that reside in shared directories (e.g., NFS, SMB, or other on-premises sources), IBM Data Virtualization uses a remote connector agent. This remote connector is installed and executed on the source server to enable secure access and metadata extraction.
The service does not scan networks automatically nor rely on FTP. Directly adding file shares via the UI is not sufficient without the backend connector in place, which acts as a secure communication bridge.

NEW QUESTION # 108
What is a key feature of online storage options for IBM Cloud Pak for Data?

A. High availability and quick access to data
B. Lower performance compared to offline storage
C. Data is not accessible instantly
D. Used primarily for archived data

Answer: A

NEW QUESTION # 109
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