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IBM C1000-173 Exam Syllabus Topics:

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

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q28-Q33):

NEW QUESTION # 28
What role does storage management play in optimizing watsonx.data performance?

Answer: B


NEW QUESTION # 29
What must be created to enable the Cloud Pak for Data platform to use a company's custom CA certificate to validate certificates from internal servers?

Answer: D

Explanation:
To enable IBM Cloud Pak for Data to trust certificates from internal servers using a custom Certificate Authority (CA), the correct method is to create a Kubernetes ConfigMap that contains the CA certificate. This ConfigMap is referenced by the platform's foundational services to include the CA in the trusted root store. Secrets are typically used for storing sensitive data like private keys and TLS certificates but are not used for adding trusted root CAs at the platform level. A ConfigMap is explicitly required by the platform to inject the CA trust into the certificate validation chain.


NEW QUESTION # 30
What is the default schedule for the diagnostics monitor when using the Alerting APIs?

Answer: C

Explanation:
You can use the IBM Software Hub monitoring and alerting framework to monitor the state of the platform.
You can set up events to alert when action is needed, based on thresholds that you define.
By default, IBM Software Hub is initialized with one monitor that runs every ten minutes. The diagnostic monitor records the status of deployments, StatefulSets, and persistent volume claims. It also tracks your system usage of virtual processors (vCPUs) and memory. The data that is collected can be used for analysis and to alert customers in a production environment based on set alert rules.


NEW QUESTION # 31
How do Massively Parallel Processing (MPP) and Symmetric Multiprocessing (SMP) differ in a Db2 environment?

Answer: C


NEW QUESTION # 32
Which two Cloud Pak for Data services implement data masking to support secure data sharing?

Answer: C,D

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 # 33
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