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C1000-173 practice tests

2025 Latest PrepAwayETE C1000-173 PDF Dumps and C1000-173 Exam Engine Free Share: https://drive.google.com/open?id=1GsOP3uOTUxCe20rMal-snvR3Oj2n2ijL

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IBM C1000-173 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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

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 5

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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q68-Q73):

NEW QUESTION # 68
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. Manage workflows
B. Create projects
C. Manage platform
D. Manage data protection rules
E. Monitor project workload

Answer: B,D

Explanation:
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.

NEW QUESTION # 69
How are caches defined in IBM Data Virtualization?

A. DataStage flows are created in a project for maintaining caches.
B. They are created automatically based on usage patterns.
C. Caches are suggested based on statistics collected during data source configuration.
D. Caches are manually defined based on recommendations and monitoring data.

Answer: D

Explanation:
In IBM Data Virtualization, caches must be manually defined by administrators. While monitoring and query performance statistics can guide where caching would be beneficial, the creation and configuration of caches (e.g., refresh schedules and scope) are manual tasks. There is no automated cache creation mechanism (A), nor are DataStage flows used for cache maintenance (B). Suggestions based on statistics (D) may assist administrators, but they do not automatically create the caches.

NEW QUESTION # 70
What is Data Refinery best described as?

A. A graphical interface for database management
B. A tool for enhancing network security
C. A physical data storage enhancement tool
D. A data integration and transformation tool

Answer: D

NEW QUESTION # 71
In terms of managing security for data stores in Watson Assistant, what practices should be emphasized? (Select two)

A. Implementing role-based access control
B. Encrypting all stored data, both at rest and in transit
C. Regularly updating access credentials
D. Using a public network for easier access

Answer: B,C

NEW QUESTION # 72
Which of the following strategies are crucial for planning an effective backup and restore process in a Cloud Pak for Data environment?

A. Regular backup scheduling
B. Automated backup validation
C. Real-time data mirroring
D. Multi-region storage replication

Answer: A,B

NEW QUESTION # 73
......

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2025 Latest PrepAwayETE C1000-173 PDF Dumps and C1000-173 Exam Engine Free Share: https://drive.google.com/open?id=1GsOP3uOTUxCe20rMal-snvR3Oj2n2ijL