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C1000-173 New Braindumps Questions & C1000-173 PDF VCE

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IBM C1000-173 PDF VCE | C1000-173 Test Topics Pdf

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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 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 3

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.

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

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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q114-Q119):

NEW QUESTION # 114
What are tethered projects in the context of IBM Cloud Pak for Data?

A. Standalone projects without any connection to other services
B. Projects that restrict any form of data sharing
C. Projects linked to a specific tenant and its resources within the platform
D. Projects that do not support multi-tenancy

Answer: C

NEW QUESTION # 115
Which set of DataStage features are primarily intended to improve reusability and flexibility?

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

Answer: B

Explanation:
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.

NEW QUESTION # 116
When planning to expose REST-based APIs for Db2, what is an essential consideration for the route configuration?

A. Dynamic route adjustment based on traffic
B. Route hardcoding within the application
C. Static route assignment
D. Inconsistent route naming conventions

Answer: A

NEW QUESTION # 117
What endpoint will an application use to interact with Db2 Big SQL?

A. Simple Normalized Optimum Representative Endpoint (SNORE)
B. Dynamic Representative Endpoint Activation Mobility (DREAM)
C. System Local Efficient Endpoint Pathways (SLEEP)
D. Representative State Transfer (REST) Endpoint

Answer: D

Explanation:
Applications interact with Db2 Big SQL using industry-standard protocols. The most common and supported interface is through a REST (Representative State Transfer) API endpoint. REST endpoints allow for external applications to query, manage, and manipulate data within Big SQL using simple HTTP calls. None of the other options-SLEEP, SNORE, or DREAM-are valid or recognized interfaces in IBM Cloud Pak for Data or Db2 Big SQL documentation.

NEW QUESTION # 118
What is a key factor in ensuring security consistency across multiple cloud environments?

A. Focusing solely on perimeter security
B. Using different security tools for each cloud provider
C. Prioritizing physical security measures
D. Adopting a cloud-agnostic security posture

Answer: D

NEW QUESTION # 119
......

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