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IBM C1000-173 Exam Syllabus Topics:

SectionWeightObjectives
Plan for a Cloud Pak for Data Implementation25%- Assess requirements and select appropriate services
- Size and design OpenShift/Kubernetes infrastructure
- Plan backup, restore, high availability and disaster recovery
- Design for multi-tenancy and migration
Security and Compliance Architecture22%- Plan certificate management and secure communications
- Implement auditing and compliance controls
- Secure data exchange and integration
- Design identity and access management
Architect with Data Source and Integration Services18%- Architect with watsonx.data and Db2 services
- Design data replication and integration architectures
- Implement data virtualization solutions
Architect with Data Governance Services20%- Leverage knowledge accelerators and governance frameworks
- Implement data privacy and regulatory compliance architectures
- Design knowledge catalog and data discovery solutions
Operational Readiness and Scalability15%- Plan for scalability, performance and lifecycle management
- Design monitoring, logging and operational processes

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q65-Q70):

NEW QUESTION # 65
An architect is working with a team to configure Dynamic Workload Management for a single DataStage instance on Cloud Pak for Data. Auto-scaling has been disabled and the maximum concurrent jobs has been set to 5. What will happen if a sixth concurrent job is executed?

Answer: B

Explanation:
Queueing mechanism is in place. Since the maximum concurrent jobs are limited to 5, the sixth job will not start immediately. Instead, it will queue and wait for one of the currently running jobs to complete, making room for the sixth job to execute.


NEW QUESTION # 66
What is the purpose of profiling data in Data Refinery?

Answer: B

Explanation:
Profiling data in Data Refinery is primarily used for validating the quality, structure, and characteristics of the dataset. It provides insights such as column data types, value distributions, null counts, and patterns, enabling users to detect anomalies, inconsistencies, or data quality issues before performing transformations or analytics. It is not intended for data loading (B), backups (C), or visualization (D), although it provides basic statistical overviews as part of validation.


NEW QUESTION # 67
A customer wants to manage Cloud Pak for Data secrets via an existing supported vault system. What is needed to integrate any supported vault systems into Cloud Pak for Data?

Answer: D

Explanation:
To integrate a supported vault system withIBM Cloud Pak for Data, thefully qualified URLof the external vault is a required component for establishing communication between Cloud Pak for Data and the vault. This is typically configured in theexternal secrets managersettings.
While authentication credentials (like client certificates or keys) are also necessarydepending on the authentication method used, thefully qualified URLis universally required to locate and connect to the vault.
IBM Cloud Pak for Data supports integration with vaults such as:
* HashiCorp Vault
* AWS Secrets Manager
* Azure Key Vault
* IBM Key Protect
For more details, refer to:
IBM Cloud Pak for Data: Using external secrets managers


NEW QUESTION # 68
Insurance industry datasets frequently include personally identifiable information (PII) and many data analysts need access to datasets but not to PII. Which Cloud Pak for Data services leverage Data Protection Rules?

Answer: A

Explanation:
IBM Cloud Pak for Data includes built-in Data Protection Rules to enforce access control on sensitive data, such as PII. These rules are integrated directly into services like IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog. When analysts or applications access data through these services, the platform automatically masks, obfuscates, or restricts access to sensitive fields based on the defined policies. This ensures compliance with data privacy regulations and organizational security policies without manual intervention.


NEW QUESTION # 69
When planning the implementation of Cloud Pak for Data, which of the following services might be considered essential based on the business requirements?

Answer: C,D


NEW QUESTION # 70
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