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IBM C1000-173 Exam Overview:
| Certification Vendor: | IBM |
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| Exam Name: | IBM Cloud Pak for Data v4.7 Architect |
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| Exam Number: | C1000-173 |
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| Exam Format: | Scenario-based, Multiple Response, Multiple Choice |
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| Exam Price: | $250 USD |
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| Real Exam Qty: | 63 |
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| Available Languages: | English |
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| Related Certifications: | IBM Certified Administrator - Cloud Pak for Data IBM Certified Data Engineer - Cloud Pak for Data IBM Certified Analyst - Cloud Pak for Data |
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| Passing Score: | 63% |
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| Exam Duration: | 90 minutes |
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| Certificate Validity Period: | 3 Years |
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| Sample Questions: | IBM C1000-173 Sample Questions |
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| Exam Way: | Online proctored or at authorized Pearson VUE test centers |
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| Pre Condition: | No formal prerequisites required, but recommend having prior experience with IBM Cloud Pak for Data administration, Red Hat OpenShift Container Platform, and general data architecture principles. |
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| Official Syllabus URL: | https://www.ibm.com/certify/exam?id=173 |
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>> C1000-173 Exam Fragen <<
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IBM C1000-173 Prüfungsplan:
| Thema | Einzelheiten |
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| Thema 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.
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| Thema 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.
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| Thema 3 | - 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.
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| Thema 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.
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| Thema 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.
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IBM Cloud Pak for Data v4.7 Architect C1000-173 Prüfungsfragen mit Lösungen (Q57-Q62):
57. Frage
What is the function of IBM Cloud Pak for Data's governance framework?
- A. To enhance security and reduce risk
- B. To manage data backups
- C. To integrate data from various sources
- D. To build AI models
Antwort: A
Begründung:
The governance framework in IBM Cloud Pak for Data provides tools to ensure data privacy, security, and compliance. It helps organizations manage and protect data assets, ensuring that data usage adheres to corporate policies and regulations.
58. Frage
Which features of the IBM Knowledge Catalog service are unavailable with the Data Governance Express offering?
- A. Semantic search and metadata analysis
- B. Advanced metadata export and lineage
- C. Lineage and semantic search
- D. Data quality features in analytics projects and ETL
Antwort: B
Begründung:
IBM Knowledge Catalog's Data Governance Express offering is a lightweight configuration meant for streamlined governance needs. It includes core capabilities like cataloging and basic lineage but does not support advanced metadata export or full-scale lineage visualization and tracking features. These advanced features are only available in the full IBM Knowledge Catalog service. The Express tier is designed for simpler use cases and quicker onboarding with limited governance overhead.
59. Frage
Which of the following best describes the business value of DataStage?
- A. It decreases the flexibility in handling various data formats.
- B. It reduces the operational cost by automating data integration tasks.
- C. It increases the need for manual intervention in data processing.
- D. It solely enhances the aesthetic appeal of data reports.
Antwort: B
60. Frage
How are caches defined in IBM Data Virtualization?
- A. Caches are manually defined based on recommendations and monitoring data.
- B. Caches are suggested based on statistics collected during data source configuration.
- C. They are created automatically based on usage patterns.
- D. DataStage flows are created in a project for maintaining caches.
Antwort: A
Begründung:
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.
61. Frage
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. Monitor project workload
- B. Manage data protection rules
- C. Manage platform
- D. Create projects
- E. Manage workflows
Antwort: B,D
Begründung:
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.
62. Frage
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