C1000-173 Useful Dumps: IBM Cloud Pak for Data v4.7 Architect - Latest IBM C1000-173 Valid Test Pdf

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IBM C1000-173 Exam Syllabus Topics:

SectionObjectives
Data Storage and Virtualization- Db2 and integrated storage options
- Data Virtualization services and query federation
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
Security, Operations, and Platform Management- Identity and access management in CP4D
- Monitoring, scaling, and operational best practices
Cloud Pak for Data Architecture Overview- Deployment architectures and environments
- CP4D core platform components and services
AI and Machine Learning Lifecycle- Model development, training, and deployment workflows
- Watson Studio project lifecycle

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q128-Q133):

NEW QUESTION # 128
Which statement describes MPP (Massively Parallel Processing) Database architecture?

Answer: D

Explanation:
MPP, or Massively Parallel Processing, is a database architecture model where data is divided and processed across multiple compute nodes in parallel. Each node works independently on a portion of the data, dramatically improving query performance and throughput for analytics workloads. This model is ideal for big data and analytical queries, not transactional workloads. It differs from shared-disk models or replication strategies like two-phase commit. The correct definition involves distributed data and parallel query execution, as described in option C.


NEW QUESTION # 129
When architecting a solution with Match 360, what is a crucial aspect to ensure data quality and consistency?

Answer: A


NEW QUESTION # 130
In the context of Db2 services, which two authentication methods ensure secure API access?

Answer: A,B


NEW QUESTION # 131
What are two considerations when choosing the type of storage for Cloud Pak for Data?

Answer: A,B

Explanation:
When selecting storage for Cloud Pak for Data, two critical considerations are:
Ensuring the storage supports the specific services being deployed. Not all services are compatible with every storage type (e.g., some services require block storage, others may support NFS). The storage must provide sufficient I/O performance to meet the operational demands of the workloads. Transmission speeds and throughput metrics are useful but not directly required as standalone criteria. Additionally, NFS is not universally supported by all services; some services specifically require RWO (ReadWriteOnce) or RWX (ReadWriteMany) access modes.


NEW QUESTION # 132
What key features should be emphasized when integrating Watson OpenScale for AI model monitoring? (Select two)

Answer: A,C


NEW QUESTION # 133
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