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C1000-173 Reliable Exam Syllabus - Standard C1000-173 Answers
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IBM C1000-173 Exam Syllabus Topics:| Topic | Details | | Topic 1 | - 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 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.
| | 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 (Q139-Q144):NEW QUESTION # 139
What mechanism is essential for securing data during transit in asset interchange?
- A. Data in transit encryption
- B. Role-based access control
- C. Periodic data backups
- D. Data at rest encryption
Answer: A
NEW QUESTION # 140
Which two Cloud Pak for Data services support the multi-tenancy mechanism of installing the service once and provisioning the workloads in tethered projects?
- A. Cognos Analytics
- B. Watson Pipelines
- C. Analytics Engine Powered by Apache Spark
- D. IBM Data Virtualization
- E. Db2
Answer: C,D
Explanation:
Cloud Pak for Data supports service-level multi-tenancy by enabling some services to be installed centrally and then provisioned into user "tethered" namespaces (projects). In version 4.7, Analytics Engine (Apache Spark) and IBM Data Virtualization services support this tethered#project model: they can be installed once and then instantiated per project across multiple tenants. Core services like Db2, Cognos Analytics, and Watson Pipelines in 4.7 require installation per instance and do not yet support tethered#namespace provisioning via multi#tenant model.
NEW QUESTION # 141
How does the 'Easy to use UI' feature in Cloud Pak for Data's Data Replication benefit users?
- A. Reduces user control over replication tasks
- B. Streamlines the replication setup process
- C. Complicates the data replication workflow
- D. Increases the need for specialized training
Answer: B
NEW QUESTION # 142
When planning to expose REST-based APIs for Db2, what is an essential consideration for the route configuration?
- A. Dynamic route adjustment based on traffic
- B. Static route assignment
- C. Route hardcoding within the application
- D. Inconsistent route naming conventions
Answer: A
NEW QUESTION # 143
Which component must be enabled in order to render business lineage when installing IBM Knowledge Catalog?
- A. Data graph
- B. Data quality
- C. Knowledge graph
- D. Automated metadata lineage
Answer: C
Explanation:
Business Lineage and Knowledge Graph:IBM Knowledge Catalog leverages a Knowledge Graph to store and visualize the relationships between various assets, including data assets, governance artifacts (like business terms), and the flow of data. Business lineage, which shows the end-to-end journey of data in business terms, relies heavily on these interconnected relationships within the Knowledge Graph.
Documentation Confirmation:IBM's documentation explicitly states: "To view lineage, you can have any role in a catalog.Optional This feature is not available by default. Knowledge graph must be installed with IBM Knowledge Catalog, IBM Knowledge Catalog Premium, or IBM Knowledge Catalog Standard.
For information on installing knowledge graph, see Specifying additional installation options in the IBM Software Hub documentation." (Source: IBM Documentation on Lineage). It further clarifies, "Enable knowledge graph to gain access to the lineage feature, business-term relationship search, and the relationship explorer."
NEW QUESTION # 144
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