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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 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.
Topic 4	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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q160-Q165):

NEW QUESTION # 160
When migrating DataStage, what are key considerations? (Select two)

A. Ensuring uninterrupted power supply during migration
B. Ensuring compatibility of data formats between old and new systems
C. Maintaining data encryption standards throughout the process
D. Checking the network bandwidth availability

Answer: B,C

NEW QUESTION # 161
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. Administrators configure FTP connections to the file source.
D. It scans its network for open file shares.

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 # 162
Which of the following is watsonx.data most similar to?

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

Answer: C

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 # 163
Which API allows the management of users, roles, and authentication, as well as monitors the status of the Cloud Pak for Data platform?

A. Cloud Pak for Data Platform
B. Watson Data
C. Alerting
D. Credentials and Secrets

Answer: A

NEW QUESTION # 164
How are caches defined in IBM Data Virtualization?

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

Answer: B

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 # 165
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