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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
Certificate Validity Period:	3 years
Related Certifications:	IBM Cloud Pak for Data Administrator IBM Cloud Pak for Data Data Engineer
Real Exam Qty:	60-70
Exam Price:	USD 200 (varies by region)
Exam Duration:	90 minutes
Exam Format:	Multiple response, Multiple choice
Available Languages:	English
Recommended Training:	IBM Cloud Pak for Data Learning Resources
Exam Registration:	IBM Certification Portal
Sample Questions:	IBM C1000-173 Sample Questions
Exam Way:	Online proctored exam (remote) or authorized testing center
Pre Condition:	No strict mandatory prerequisites, but strong familiarity with IBM Cloud Pak for Data architecture and services is recommended.
Official Syllabus URL:	https://www.ibm.com/training/certification

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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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.
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	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 5	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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q152-Q157):

NEW QUESTION # 152
How do Access Control Lists (ACLs) benefit Db2 services security architecture?

A. Enabling detailed permissions management
B. By allowing unrestricted access to all users
C. Reducing the granularity of access control
D. Simplifying user authentication processes

Answer: A

NEW QUESTION # 153
Which of the following services is NOT included in IBM Cloud Pak for Data?

A. Watson Studio
B. IBM Cloud Pak for Multicloud Management
C. IBM DataStage
D. Watson Knowledge Catalog

Answer: B

Explanation:
IBM Cloud Pak for Data includes services like Watson Studio (for AI and data science), Watson Knowledge Catalog (for data governance), and IBM DataStage (for data integration). IBM Cloud Pak for Multicloud Management is a different solution focused on managing multiple cloud environments, not data.

NEW QUESTION # 154
How does Watson Assistant support voice interaction?

A. By analyzing tone and emotion in user's voice inputs
B. By directly connecting to telephony systems without additional integration
C. By providing real-time translation services for multilingual support
D. By converting text responses to voice using text-to-speech (TTS) technology

Answer: D

NEW QUESTION # 155
How does watsonx.data provide data sharing between Db2 Warehouse, Netezza, and any other data management solution?

A. Secure File Transfer Protocol (SFTP)
B. Iceberg tables
C. JSON file format
D. watsonx.data proprietary fast loader

Answer: B

Explanation:
watsonx.data uses Apache Iceberg tables as the open table format for data sharing across platforms like Db2 Warehouse, Netezza, and other compatible data management solutions.
Iceberg provides a transactional and schema-evolution-friendly table layer, allowing multiple engines to read and write data concurrently. This approach avoids proprietary loaders or simple file transfers and ensures efficient interoperability between different systems.

NEW QUESTION # 156
An architect is working with a team to configure Dynamic Workload Management for a single DataStage instance on Cloud Pak for Data. Auto-scaling has been disabled and the maximum concurrent jobs has been set to 5. What will happen if a sixth concurrent job is executed?

A. The sixth job will start if resources are available and will automatic.
B. The sixth job will fail and will need to be restarted.
C. The sixth job will queue until one of the other concurrent jobs completes.

Answer: C

Explanation:
Queueing mechanism is in place. Since the maximum concurrent jobs are limited to 5, the sixth job will not start immediately. Instead, it will queue and wait for one of the currently running jobs to complete, making room for the sixth job to execute.

NEW QUESTION # 157
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