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C1000-173 Real Questions, C1000-173 Practice Exam, C1000-173 PDF VCE

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IBM C1000-173 Exam Syllabus Topics:

Topic
Details

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

Architect with AI Series: This section measures the skills of an AI Solution Architect and includes designing architectures for solutions involving various IBM Watson AI services. Architecting with Watson Assistant involves creating conversational AI interfaces. Watson Discovery solutions focus on building cognitive search and content analytics applications. Watson Pipelines solutions involve orchestrating data science workflows. Watson OpenScale architectures enable AI model monitoring and governance. Architecting with Match 360 supports personalized engagement by integrating multi-channel customer insights.

Topic 4

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 5

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 (Q112-Q117):

NEW QUESTION # 112
When upgrading to Cloud Pak for Data v4.7, why must an export/import of governance data be performed?

A. Components of Information Server have been removed from the product.
B. The underlying Db2 repository has been altered.
C. Containers are ephemeral and cannot persist the data.
D. Catalog data must be relocated to persistent storage.

Answer: B

Explanation:
During the upgrade to Cloud Pak for Data version 4.7, significant changes were made to the underlying metadata repository, which is powered by Db2. These changes affect how governance data is stored and accessed, and an export/import is necessary to ensure compatibility and data integrity. The export step extracts governance metadata using the supported utility, and after the upgrade, it is re-imported into the upgraded structure. This is not due to container ephemerality or storage changes, but because of schema and format changes in Db2.

NEW QUESTION # 113
What are two considerations when choosing the type of storage for Cloud Pak for Data?

A. The storage network must support a minimum transmission speed of 4 Gbps.
B. The storage provides sufficient I/O performance.
C. The storage data has a throughput minimum of 16 MB/s per disk.
D. NFS storage supports all Cloud Pak for Data services.
E. The storage supports the services that will be installed.

Answer: B,E

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 # 114
What key features should be emphasized when integrating Watson OpenScale for AI model monitoring? (Select two)

A. Manual model tuning requirements
B. Dynamic resource allocation
C. Continuous model performance monitoring
D. Bias detection and mitigation

Answer: C,D

NEW QUESTION # 115
Which statement describes MPP (Massively Parallel Processing) Database architecture?

A. An analytics environment that improves performance by dividing the data across many nodes.
B. A transactional system which uses multiple nodes for maximum availability.
C. Two or more databases kept in sync via two-phase commit.
D. A data warehouse that needs all compute nodes to access a shared data store simultaneously.

Answer: A

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 # 116
Which of the following is watsonx.data most similar to?

A. A data warehouse only
B. A combination of data warehouse and data lake
C. A data lake only
D. A transactional database

Answer: B

Explanation:
watsonx.data is an open hybrid data lakehouse platform, combining the strengths of a data lake (flexibility and cost efficiency for unstructured data) with the structured query and performance features of a data warehouse. It is designed to handle both analytics and large-scale data storage, making it a hybrid solution rather than exclusively a data lake or data warehouse.

NEW QUESTION # 117
......

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