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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 Price:	USD 200
Real Exam Qty:	62
Related Certifications:	IBM Certified Specialist - Cloud Pak for Data IBM Certified Solution Advisor - Cloud Pak for Data
Exam Format:	Multiple choice, Scenario-based questions
Exam Duration:	90 minutes
Passing Score:	66%
Certificate Validity Period:	No fixed expiration
Available Languages:	English
Recommended Training:	Solution Architect: IBM Cloud Pak for Data v4.x IBM Cloud Pak for Data Architecture and Implementation
Exam Registration:	Pearson VUE IBM Certification Registration
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 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	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 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.
Topic 4	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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q28-Q33):

NEW QUESTION # 28
What signifies the business value of Db2/BigSQL?

A. Its ability to restrict data access to a limited number of users
B. Its capacity to handle large volumes of data efficiently
C. Its role in reducing the graphical user interface quality
D. Its function in increasing data processing time

Answer: B

NEW QUESTION # 29
Why is it crucial to understand the benefits of watsonx.data over traditional data warehouses?

A. To limit scalability and flexibility
B. To reduce data processing speed
C. To maximize data storage costs
D. To leverage advanced analytics and machine learning capabilities

Answer: D

NEW QUESTION # 30
How does the IBM Data Virtualization service virtualize files in shared directories?

A. A remote connector is installed and run on the source server.
B. It scans its network for open file shares.
C. Users add shared file systems in the UI.
D. Administrators configure FTP connections to the file source.

Answer: A

Explanation:
To virtualize files that reside in shared directories (e.g., NFS, SMB, or other on-premises sources), IBM Data Virtualization uses a remote connector agent. This remote connector is installed and executed on the source server to enable secure access and metadata extraction. The service does not scan networks automatically nor rely on FTP. Directly adding file shares via the UI is not sufficient without the backend connector in place, which acts as a secure communication bridge.

NEW QUESTION # 31
How does Cloud Pak for Data leverage OpenShift to enhance service availability?

A. Through automatic failover and recovery mechanisms
B. Ignoring cluster health and resource allocation
C. By limiting the deployment of containerized applications
D. By reducing system scalability and redundancy

Answer: A

NEW QUESTION # 32
Are there any special considerations for the client to migrate existing server jobs to DataStage in Cloud Pak for Data?

A. Server jobs migrate with no changes.
B. Server jobs can be converted to parallel jobs prior to migration using MettleCI.
C. Server jobs migrate directly to parallel jobs that always require modification.
D. Server jobs are automatically migrated to Watson Pipeline flows.

Answer: B

Explanation:
Legacy DataStage server jobs are not automatically compatible with DataStage on Cloud Pak for Data, which uses a parallel engine architecture. MettleCI is the recommended tool to convert server jobs into parallel jobs before migration. This conversion allows reusability and ensures the migrated jobs can run efficiently in the CP4D environment. Direct migration without modification (option D) is not possible, and they do not migrate to Watson Pipelines (option A).

NEW QUESTION # 33
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