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The IBM modern job market is becoming more and more competitive and challenging and if you are not ready for it then you cannot pursue a rewarding career. Take a smart move right now and enroll in the IBM Cloud Pak for Data v4.7 Architect (C1000-173) certification exam and strive hard to pass the IBM Cloud Pak for Data v4.7 Architect (C1000-173) certification exam. The IBM Cloud Pak for Data v4.7 Architect (C1000-173) certification exam offers you a unique opportunity to learn new in-demand skills and knowledge.

IBM C1000-173 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 4
  • Security Requirements: This domain targets a Security Architect and focuses on planning security for a Cloud Pak for Data deployment. It includes managing certificates that secure communications, identity management systems, and access and authorization controls to enforce secure and compliant user and service interactions. The auditing features and their integration with enterprise audit systems are crucial to ensure traceability and accountability. Asset interchange security involves safeguarding data movement between services.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q116-Q121):

NEW QUESTION # 116
Which Cloud Pak for Data predefined role has permission to create service instances?

Answer: D


NEW QUESTION # 117
How does the IBM Data Virtualization service virtualize files in shared directories?

Answer: D

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 # 118
When selecting storage classes for Match 360, what factors should be considered?

Answer: A


NEW QUESTION # 119
What is the primary requirement to enforce data privacy in Cloud Pak for Data?

Answer: C


NEW QUESTION # 120
Which potential problem can Watson OpenScale detect and mitigate?

Answer: A

Explanation:
Watson OpenScale includes advanced monitoring capabilities for deployed AI models, including drift detection. Data drift refers to changes in input data distributions over time, which can degrade model performance. OpenScale continuously compares incoming data to the original training data to detect deviations and alert users when retraining may be required. It does not manage storage, data overwrites, or rule-based systems, making option B the only correct choice.


NEW QUESTION # 121
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