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| Topic | Details |
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| Topic 1 | - 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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| 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.
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| 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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| 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.
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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q98-Q103):
NEW QUESTION # 98
In the context of Cloud Pak for Data and OpenShift, what is the advantage of containerization for service availability?
- A. Decreasing the portability of applications
- B. Facilitating easier backup and recovery processes
- C. Limiting the scalability of services
- D. Reducing the efficiency of resource utilization
Answer: B
NEW QUESTION # 99
In Watson Discovery, what is the primary purpose of using query enrichment with machine learning models?
- A. To simplify the query language
- B. To enhance the accuracy of search responses
- C. To increase the storage requirements
- D. To reduce the data ingestion rate
Answer: B
NEW QUESTION # 100
How does the 'Easy to use UI' feature in Cloud Pak for Data's Data Replication benefit users?
- A. Streamlines the replication setup process
- B. Complicates the data replication workflow
- C. Increases the need for specialized training
- D. Reduces user control over replication tasks
Answer: A
NEW QUESTION # 101
When planning to expose REST-based APIs for Db2, what is an essential consideration for the route configuration?
- A. Static route assignment
- B. Route hardcoding within the application
- C. Dynamic route adjustment based on traffic
- D. Inconsistent route naming conventions
Answer: C
NEW QUESTION # 102
Which Cloud Pak for Data predefined role has permission to create service instances?
- A. Data Steward
- B. Reporting Administrator
- C. Data Engineer
- D. Data Scientist
Answer: C
NEW QUESTION # 103
......
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