Grab latest IBM C1000-173 Dumps as PDF Updated on 2025 [Q65-Q80]

Grab latest IBM C1000-173 Dumps as PDF Updated on 2025

Newly Released C1000-173 Dumps for IBM Certified Architect Certified

IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 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.
Topic 2	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 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.

 

NEW QUESTION # 65
Which of the following IBM Cloud Pak for Data services are essential for real-time data analysis and decision-making? (Select two)

• A. Decision Optimization
• B. Watson Studio
• C. Watson Knowledge Catalog
• D. Db2 Event Store

Answer: A,D

NEW QUESTION # 66
How are Knowledge Accelerators deployed?

• A. Deploy from the IBM Knowledge Accelerator API.
• B. Deployed as part of the sample assets.
• C. Deploy from the Cloud Pak for Data marketplace.
• D. Deploy by IBM support upon request.

Answer: A

Explanation:
Knowledge Accelerators are a part of IBM Knowledge Catalog in IBM Cloud Pak for Data and provide predefined industry-specific business terms and relationships. These accelerators are not included by default with sample assets nor automatically deployed through the Cloud Pak for Data marketplace. Instead, they are imported using dedicated API endpoints provided by IBM for Knowledge Accelerators. Deployment involves uploading the accelerator assets using the IBM Knowledge Accelerator API, and once imported, they can be customized and published within the governance framework. This approach provides the flexibility required for various enterprise governance models.

NEW QUESTION # 67
When designing a virtual agent using Watson Assistant, what is a critical factor to consider for ensuring effective user engagement?

• A. Restricting the use of multi-turn conversations
• B. Minimizing the use of entities and intents
• C. Maximizing response time to user queries
• D. Providing context-aware responses

Answer: D

NEW QUESTION # 68
In the context of data replication, what is a key benefit of minimizing the impact of outages?

• A. Increased data loss during outages
• B. Reduced system reliability
• C. Prolonged data unavailability
• D. Enhanced business continuity and disaster recovery

Answer: D

NEW QUESTION # 69
How does data replication facilitate multi-site data distribution?

• A. By increasing the complexity of data management
• B. By increasing the complexity of data management
• C. By limiting data access to a single location
• D. By ensuring data is available across different geographical locations

Answer: D

NEW QUESTION # 70
What key features should be emphasized when integrating Watson OpenScale for AI model monitoring? (Select two)

• A. Manual model tuning requirements
• B. Bias detection and mitigation
• C. Continuous model performance monitoring
• D. Dynamic resource allocation

Answer: B,C

NEW QUESTION # 71
Which of the following are considered when determining the correct storage options for IBM Cloud Pak for Data?

• A. Cost-effectiveness only
• B. Aesthetics of the storage interface
• C. Color schemes of storage UI
• D. Performance and scalability

Answer: D

NEW QUESTION # 72
What is a critical aspect of monitoring DB2 services to enable efficient user querying?

• A. Ensuring that only DB administrators can monitor the system
• B. Disabling user access to monitoring tools
• C. Ignoring query performance metrics
• D. Providing insights into query execution and performance

Answer: D

NEW QUESTION # 73
Which two Cloud Pak for Data services support storage class NFS?

• A. Watson Knowledge Studio
• B. Planning Analytics
• C. Watson Discovery
• D. watsonx Assistant
• E. IBM Knowledge Catalog

Answer: C,E

Explanation:
IBM Cloud Pak for Data supports NFS#backed persistent volumes (RWX storage class) for services that require access to shared file storage. Among the available services, IBM Knowledge Catalog and Watson Discovery are known to support NFS storage classes in installation configuration (e.g.
"managed#nfs#storage") for persistent metadata and document storage. Other services like watsonx Assistant, Watson Knowledge Studio, and Planning Analytics use different storage mechanisms and do not necessarily support NFS shared storage in the standard CP4D 4.7 deployment.

NEW QUESTION # 74
Which two Cloud Pak for Data predefined roles are used to define DataStage access?

• A. Data Steward
• B. Reporting Administrator
• C. Governance Steward
• D. Business Analyst
• E. DataStage Developer

Answer: A,E

Explanation:
In IBM Cloud Pak for Data, DataStage access is managed using predefined roles that grant specific permissions. The DataStage Developer role is explicitly designed to allow users to create and manage DataStage flows. The Data Steward role is involved in managing data access, lineage, and metadata, which supports governance aspects within DataStage projects. Business Analyst and Governance Steward roles are focused on cataloging and governance workflows, not DataStage design or execution. Reporting Administrator is not applicable in this context.

NEW QUESTION # 75
Which of the following statements best describes the business value of Watson Assistant?

• A. It provides enhanced security for cloud-based services.
• B. It improves customer engagement through AI-driven conversations.
• C. It significantly reduces the time required for data processing.
• D. It offers an advanced platform for numerical computation.

Answer: B

NEW QUESTION # 76
When planning for the data management console in Db2, what functionality is crucial for effective database management?

• A. Limited visibility over data and queries
• B. Restricting user access to essential functionalities only
• C. Comprehensive monitoring and management features
• D. Avoiding integration with other Db2 services

Answer: C

NEW QUESTION # 77
Which of the following is a benefit of multi-tenancy in cloud environments?

• A. Compromised data security between tenants
• B. Cost reduction by sharing infrastructure
• C. Increased resource consumption per tenant
• D. Decreased operational efficiency

Answer: B

NEW QUESTION # 78
In DataStage, how is workload management typically achieved?

• A. By manually distributing tasks across nodes
• B. Through an automated, policy-driven approach
• C. By employing external workload management tools
• D. By prioritizing workloads based solely on data volume

Answer: B

NEW QUESTION # 79
What is the significance of using platform connections in Data Replication on Cloud Pak for Data?

• A. Enhances interoperability and ease of configuration
• B. Isolates data environments
• C. Complicates data integration processes
• D. Decreases connectivity with data sources and targets

Answer: A

NEW QUESTION # 80
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