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IBM C1000-173 Exam Overview:

Certification Vendor:	IBM
Exam Name:	IBM Cloud Pak for Data v4.7 Architect
Exam Number:	C1000-173
Exam Format:	Scenario-based questions, Multiple choice
Related Certifications:	IBM Certified Solution Advisor - Cloud Pak for Data IBM Certified Specialist - Cloud Pak for Data
Available Languages:	English
Passing Score:	66%
Certificate Validity Period:	No fixed expiration
Exam Price:	USD 200
Real Exam Qty:	62
Exam Duration:	90 minutes
Recommended Training:	Solution Architect: IBM Cloud Pak for Data v4.x IBM Cloud Pak for Data Architecture and Implementation
Exam Registration:	IBM Certification Registration Pearson VUE
Sample Questions:	IBM C1000-173 Sample Questions
Exam Way:	Online proctored or onsite at authorized test centers
Pre Condition:	No mandatory prerequisites; recommended experience: 6+ months with Cloud Pak for Data, knowledge of OpenShift/Kubernetes, data architecture and governance concepts
Official Syllabus URL:	https://www.ibm.com/certify/exams/C1000-173

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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 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.
Topic 4	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 5	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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q22-Q27):

NEW QUESTION # 22
What is a significant advantage of using Db2 services in a cloud environment?

A. Limited data scalability
B. Decreased processing speed
C. Reduced physical storage requirements
D. Enhanced data security

Answer: C

NEW QUESTION # 23
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.

Answer: A

Explanation:
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.

NEW QUESTION # 24
How do storage classes affect Watson Discovery's performance?

A. They have no impact on performance
B. They modify the user interface theme
C. By influencing indexing speed and query performance
D. By changing the language of stored data

Answer: C

NEW QUESTION # 25
Which two Cloud Pak for Data services implement data masking to support secure data sharing?

A. DataStage
B. IBM Knowledge Catalog
C. SPSS
D. Db2 Data Gate
E. Data Privacy

Answer: B,E

Explanation:
Data masking in IBM Cloud Pak for Data is primarily supported by IBM Knowledge Catalog and Data Privacy services. IBM Knowledge Catalog enforces masking through Data Protection Rules, which dynamically mask sensitive fields when data is accessed through virtualized connections.
Data Privacy allows creating masking flows and rules that transform datasets while maintaining usability for analytics, ensuring sensitive data is hidden or obfuscated. DataStage and Db2 Data Gate are ETL and data replication tools, respectively, and SPSS is an analytics tool, none of which natively implement comprehensive masking as a core capability.

NEW QUESTION # 26
For ensuring high availability and disaster recovery in Cloud Pak for Data, which of the following components should be made redundant?

A. Data storage
B. Application servers
C. Network paths
D. User access portals

Answer: A,B,C

NEW QUESTION # 27
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