Actual IBM C1000-173 Exam Questions and Answers

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IBM C1000-173 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Storage and Virtualization- Data Virtualization services and query federation
- Db2 and integrated storage options
Topic 2: Cloud Pak for Data Architecture Overview- Deployment architectures and environments
- CP4D core platform components and services
Topic 3: Security, Operations, and Platform Management- Monitoring, scaling, and operational best practices
- Identity and access management in CP4D
Topic 4: Data Integration and Engineering- Data transformation and ETL/ELT workflows
- Data ingestion pipelines and DataStage concepts
Topic 5: Data Governance and Cataloging- Data lineage, metadata management, and governance policies
- Watson Knowledge Catalog concepts
Topic 6: AI and Machine Learning Lifecycle- Watson Studio project lifecycle
- Model development, training, and deployment workflows

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q44-Q49):

NEW QUESTION # 44
What capability does the Watson OpenScale API provide?

Answer: C

Explanation:
Watson OpenScale focuses on the monitoring and governance of AI models. Its API allows users to programmatically measure model outcomes, track metrics like accuracy, precision, fairness, and drift, and support compliance with responsible AI practices. It does not build chat interfaces (A), manage data in Watson Studio (B), or extract answers from documents (C). These capabilities are aligned with other Watson services, but OpenScale is centered on AI governance and model performance measurement.


NEW QUESTION # 45
In Db2 services, why is it important to establish routes effectively when exposing REST APIs?

Answer: D


NEW QUESTION # 46
Which of the following is an example of a service available within IBM Cloud Pak for Data for analyzing and visualizing data?

Answer: B

Explanation:
IBM Cognos Analytics is a business intelligence and analytics service that helps users visualize, analyze, and generate reports from data. It integrates well with IBM Cloud Pak for Data to provide interactive dashboards and reports.


NEW QUESTION # 47
Which two Cloud Pak for Data services implement data masking to support secure data sharing?

Answer: B,E

Explanation:
Data masking in IBM Cloud Pak for Data is primarily supported by IBM Knowledge Catalog and Data Privacy services. IBM Knowledge Catalog enforces masking through Data Protection Rules, which dynamically mask sensitive fields when data is accessed through virtualized connections.
Data Privacy allows creating masking flows and rules that transform datasets while maintaining usability for analytics, ensuring sensitive data is hidden or obfuscated. DataStage and Db2 Data Gate are ETL and data replication tools, respectively, and SPSS is an analytics tool, none of which natively implement comprehensive masking as a core capability.


NEW QUESTION # 48
How can multi-tenancy be achieved with multiple instances of Cloud Pak for Data?

Answer: D


NEW QUESTION # 49
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