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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 Duration: | 90 minutes |
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| Available Languages: | English |
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| Certificate Validity Period: | 3 years |
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| Real Exam Qty: | 60-70 |
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| Exam Format: | Multiple choice, Multiple response |
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| Exam Price: | USD 200 (varies by region) |
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| Related Certifications: | IBM Cloud Pak for Data Data Engineer IBM Cloud Pak for Data Administrator |
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| Recommended Training: | IBM Cloud Pak for Data Learning Resources |
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| Exam Registration: | IBM Certification Portal |
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| Sample Questions: | IBM C1000-173 Sample Questions |
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| Exam Way: | Online proctored exam (remote) or authorized testing center |
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| Pre Condition: | No strict mandatory prerequisites, but strong familiarity with IBM Cloud Pak for Data architecture and services is recommended. |
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| Official Syllabus URL: | https://www.ibm.com/training/certification |
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C1000-173 Prüfungs - C1000-173 Fragen Beantworten
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IBM C1000-173 Prüfungsplan:
| Thema | Einzelheiten |
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| Thema 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.
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| Thema 2 | - 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 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.
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| Thema 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.
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| Thema 5 | - 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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IBM Cloud Pak for Data v4.7 Architect C1000-173 Prüfungsfragen mit Lösungen (Q45-Q50):
45. Frage
What is the role of a "Connection" in the Cloud Pak for Data connectivity framework?
- A. Provide metadata for data transformation.
- B. Store and mange data locally on the platform for data co-location.
- C. Act as a reference to the data source environment without data movement.
- D. Move and copy data between data sources using optimized communication protocols.
Antwort: C
Begründung:
In IBM Cloud Pak for Data, a "Connection" is a configuration object that defines how to access an external data source, such as Db2, Oracle, or an S3 bucket. It does not involve moving or copying data. Instead, it acts as a reference to the external data source environment, enabling users to browse, query, and analyze the data in place. This approach supports virtualized access and governance while avoiding data duplication and ensuring data stays within its source system, aligning with enterprise data security policies.
46. Frage
How does Cloud Pak for Data leverage OpenShift to enhance service availability?
- A. By limiting the deployment of containerized applications
- B. Ignoring cluster health and resource allocation
- C. By reducing system scalability and redundancy
- D. Through automatic failover and recovery mechanisms
Antwort: D
47. Frage
How does watsonx.data provide data sharing between Db2 Warehouse, Netezza, and any other data management solution?
- A. Iceberg tables
- B. watsonx.data proprietary fast loader
- C. Secure File Transfer Protocol (SFTP)
- D. JSON file format
Antwort: A
Begründung:
watsonx.data uses Apache Iceberg tables as the open table format for data sharing across platforms like Db2 Warehouse, Netezza, and other compatible data management solutions. Iceberg provides a transactional and schema-evolution-friendly table layer, allowing multiple engines to read and write data concurrently. This approach avoids proprietary loaders or simple file transfers and ensures efficient interoperability between different systems.
48. Frage
How does Watson Discovery support effective knowledge management in an enterprise?
- A. By limiting access to structured data only
- B. By facilitating deep insights extraction from complex documents
- C. By enabling intuitive data archiving
- D. By prioritizing data deletion
Antwort: B
49. Frage
What is the primary requirement to enforce data privacy in Cloud Pak for Data?
- A. A properly configured Governance Catalog.
- B. Data assets are exclusively accessed through IBM Data Virtualization.
- C. Data Privacy service is installed.
- D. Data source access control lists are properly defined.
Antwort: A
50. Frage
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