C1000-173최신업데이트덤프최신인증시험덤프데모

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IBM C1000-173 시험요강:

주제	소개
주제 1	Architect with Data Source Services: This domain measures expertise of a Data Integration Architect and includes architecting solutions with data replication technologies to synchronize data across systems. IBM Data Virtualization architecture enables access to and querying of disparate data sources without data movement. Architecting with watsonx.data focuses on building intelligent data lakes and query engines. Architecting with Db2-related services involves designing scalable data management and processing architectures using IBM's Db2 platforms.
주제 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.
주제 3	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.
주제 4	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.

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최신 IBM Certified Architect C1000-173 무료샘플문제 (Q48-Q53):

질문 # 48
Which set of DataStage features are primarily intended to improve reusability and flexibility?

A. Macros, DataStage APIs, and DataStage jobs
B. DataStage components, parameters, parameter sets, and environment variables.
C. Schema drift support, Dynamic Workload Management, and ELT run mode.
D. DataStage connectors, Qualitystage stages, and DataStage Pipeline components.

정답：B

설명：
DataStage promotes modularity and reusability through the use of components such as job stages, parameters, parameter sets, and environment variables. Parameters and parameter sets allow dynamic configuration of jobs, enabling reuse across environments and reducing hardcoding. Environment variables allow users to define global job behavior across projects. These elements significantly enhance development efficiency and pipeline portability. Other features like schema drift and ELT modes support execution flexibility, but they are not primarily focused on reusability.

질문 # 49
When granting a user access to the Data Engineer role, which two permissions will the user be associated with as part of this role?

A. Create projects
B. Monitor project workload
C. Manage platform
D. Manage workflows
E. Manage data protection rules

정답：A,E

설명：
The Data Engineer role in IBM Cloud Pak for Data includes permissions necessary for managing the data pipeline lifecycle. This includes the ability to create projects, manage data assets, and configure data protection rules, which are critical for ensuring data privacy and governance. The role does not include platform-level administrative privileges like managing the platform or monitoring all workloads. Workflow management is typically assigned to users with broader project or orchestrator roles.

질문 # 50
Why is it important to differentiate between Metro-DR and Regional-DR in disaster recovery planning?

A. To ensure inappropriate resource allocation
B. To complicate the recovery process
C. To uniformly apply the same strategy across all locations
D. To tailor the DR strategy to specific business needs and geographical risks

정답：D

질문 # 51
Which of the following are considered when determining the correct storage options for IBM Cloud Pak for Data?

A. Cost-effectiveness only
B. Performance and scalability
C. Color schemes of storage UI
D. Aesthetics of the storage interface

정답：B

질문 # 52
What is the primary purpose of IBM Cloud Pak for Data?

A. Data governance
B. Data storage
C. Data integration
D. Data management and analytics

정답：D

설명：
IBM Cloud Pak for Data is an integrated data and AI platform that enables businesses to modernize their data architecture. It provides a complete solution for data management, analytics, AI, and data governance, helping organizations make data-driven decisions.

질문 # 53
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