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[Hardware] Hot C1000-173 Latest Test Braindumps | Efficient IBM C1000-173: IBM Cloud Pak fo

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【Hardware】 Hot C1000-173 Latest Test Braindumps | Efficient IBM C1000-173: IBM Cloud Pak fo

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This IBM Cloud Pak for Data v4.7 Architect (C1000-173) certification is a valuable credential that is designed to validate your expertise all over the world. After successfully competition of C1000-173 exam you can gain several personal and professional benefits. All these IBM Cloud Pak for Data v4.7 Architect (C1000-173) certification exam benefits will not only prove your skills but also assist you to put your career on the right track and achieve your career objectives in a short time period.
IBM C1000-173 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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.
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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q116-Q121):NEW QUESTION # 116
Which two Cloud Pak for Data services implement data masking to support secure data sharing?
  • A. SPSS
  • B. DataStage
  • C. IBM Knowledge Catalog
  • D. Data Privacy
  • E. Db2 Data Gate
Answer: C,D
Explanation:
Data masking in IBM Cloud Pak for Data is primarily supported by IBM Knowledge Catalog and Data Privacy services. IBM Knowledge Catalog enforces masking through Data Protection Rules, which dynamically mask sensitive fields when data is accessed through virtualized connections. Data Privacy allows creating masking flows and rules that transform datasets while maintaining usability for analytics, ensuring sensitive data is hidden or obfuscated. DataStage and Db2 Data Gate are ETL and data replication tools, respectively, and SPSS is an analytics tool, none of which natively implement comprehensive masking as a core capability.

NEW QUESTION # 117
Which statement is true about Cloud Pak for Data SIEM integration?
  • A. If a connection to multiple SIEM systems has been established, the same method must be used to connect to each SIEM system.
  • B. The Cloud Pak for Data Audit Logging Service explicitly supports the SIEM solutions: Splunk, QRadar, and Log360.
  • C. Auditing logging is supported by all Cloud Pak for Data components and services.
  • D. The Cloud Pak for Data Audit Logging Service uses Fluentd input streams to forward and export audit records.
Answer: D
Explanation:
Cloud Pak for Data provides audit logging capabilities via the Audit Logging Service, which uses Fluentd to collect, process, and forward log data to external SIEM solutions. Fluentd input streams are configured to export audit records in real time. While Splunk and QRadar are common integrations, Log360 is not explicitly listed in the official supported list. Each SIEM connection can be configured independently, and while audit logging is widely supported, it may not be enabled by default for every single service-therefore only option B is correct.

NEW QUESTION # 118
For ensuring high availability and disaster recovery in Cloud Pak for Data, which of the following components should be made redundant?
  • A. Application servers
  • B. Network paths
  • C. User access portals
  • D. Data storage
Answer: A,B,D

NEW QUESTION # 119
When designing a virtual agent using Watson Assistant, what is a critical factor to consider for ensuring effective user engagement?
  • A. Providing context-aware responses
  • B. Minimizing the use of entities and intents
  • C. Maximizing response time to user queries
  • D. Restricting the use of multi-turn conversations
Answer: A

NEW QUESTION # 120
Which two of the following can be used with Watson Pipelines?
  • A. Postgres
  • B. Db2 Big SQL
  • C. Notebooks
  • D. Bash scripts
  • E. PowerShell
Answer: C,D
Explanation:
Watson Pipelines in Cloud Pak for Data support orchestration of diverse workload types including notebooks (Python or similar interactive environments) and scripts such as Bash. These pipeline components allow integration of notebook cells or shell scripts as tasks. There is no built#in support for executing PowerShell tasks directly (unless wrapped in Bash-like containers), and Postgres is used as a data source-not a pipeline component type. While Db2 Big SQL can be invoked within a notebook or script, it is not itself a pipeline component. Therefore the supported types in pipelines are notebooks and Bash scripts.

NEW QUESTION # 121
......
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