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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
Passing Score:	66%
Available Languages:	English
Related Certifications:	IBM Certified Solution Advisor - Cloud Pak for Data IBM Certified Specialist - Cloud Pak for Data
Certificate Validity Period:	No fixed expiration
Exam Price:	USD 200
Exam Format:	Multiple choice, Scenario-based questions
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:	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 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 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	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 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 (Q32-Q37):

NEW QUESTION # 32
In the context of data replication, what is a key benefit of minimizing the impact of outages?

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

Answer: C

NEW QUESTION # 33
What is the purpose of the IBM Data Replication service?

A. To transform and validate data moving from source to target.
B. To monitor database activity.
C. To provide a unified view of disparate data sources.
D. To integrate and synchronize data.

Answer: D

Explanation:
The IBM Data Replication service in Cloud Pak for Data is designed to integrate and synchronize data between various systems, ensuring that data in target systems is kept up-to-date with the source systems. It supports near real-time replication and change data capture (CDC) mechanisms, making it ideal for analytics environments that require continuous synchronization. The service is not a tool for database activity monitoring (A), creating unified virtual views (B), or performing heavy data transformations (D).

NEW QUESTION # 34
How does IBM Cloud Pak for Data support disaster recovery and business continuity planning?

A. By providing automated backup and restore capabilities
B. By supporting high-availability cluster configurations
C. All of the above
D. By enabling cross-region data replication

Answer: C

NEW QUESTION # 35
What signifies the business value of Db2/BigSQL?

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

Answer: C

NEW QUESTION # 36
How is storage managed in watsonx.data to enhance data accessibility and efficiency?

A. Using a flat-file storage system
B. Leveraging distributed storage architecture
C. Through hierarchical storage management
D. Utilizing centralized storage management

Answer: B

NEW QUESTION # 37
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