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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
Related Certifications:	IBM Certified Solution Advisor - Cloud Pak for Data IBM Certified Specialist - Cloud Pak for Data
Available Languages:	English
Exam Format:	Multiple choice, Scenario-based questions
Certificate Validity Period:	No fixed expiration
Exam Duration:	90 minutes
Passing Score:	66%
Exam Price:	USD 200
Real Exam Qty:	62
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	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	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 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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q93-Q98):

NEW QUESTION # 93
Why would an organization implement the data privacy capabilities of Cloud Pak for Data?

A. It restricts access to sensitive data.
B. It prevents unauthorized access to the platform.
C. It hides owner information for specific datasets.
D. It provides trusted, consistent data.

Answer: A

Explanation:
The primary goal of the data privacy capabilities in IBM Cloud Pak for Data is to restrict access to sensitive data such as personally identifiable information (PII), financial records, or protected health information. This is achieved using Data Protection Rules, dynamic masking, and policy enforcement across services like IBM Knowledge Catalog and Data Virtualization. It ensures compliance with data governance policies and external regulations. While trusted data and platform security are important, those are addressed by other services and features.

NEW QUESTION # 94
When developing database applications with Db2/BigSQL and REST interfaces, what is crucial?

A. Using exclusively proprietary software interfaces
B. Facilitating efficient communication between the database layer and application
C. Maximizing the use of synchronous operations
D. Ensuring minimalistic graphical design

Answer: B

NEW QUESTION # 95
Which data processing engine is used for Data Privacy Masking flows?

A. dbt
B. Spark
C. DataStage
D. Presto

Answer: B

Explanation:
Data Privacy Masking flows in IBM Cloud Pak for Data utilize Apache Spark as the underlying data processing engine. Spark enables large-scale, distributed data masking operations for structured data, supporting high-performance transformations and compliance with privacy regulations. While DataStage can perform similar operations, the default and recommended engine for Data Privacy flows in CP4D is Spark. dbt and Presto are not used for this masking functionality.

NEW QUESTION # 96
In the context of Cloud Pak for Data and OpenShift, what is the advantage of containerization for service availability?

A. Decreasing the portability of applications
B. Facilitating easier backup and recovery processes
C. Reducing the efficiency of resource utilization
D. Limiting the scalability of services

Answer: B

NEW QUESTION # 97
Which two features are valid only when deploying Cloud Pak for Data on-premises?

A. Network security is managed by IBM.
B. The number of OpenShift nodes is configured by the administrator.
C. Compute resources are automatically scaled.
D. Persistent storage is always used.
E. Services are automatically updated.

Answer: B,D

Explanation:
In on-premises deployments of IBM Cloud Pak for Data:
Administrators have full control over the number of OpenShift nodes, unlike cloud-managed environments where node scaling may be automatic or abstracted.
Persistent storage is always required and configured by the infrastructure team to meet service requirements and ensure data availability.
Auto-scaling of compute and automatic updates of services are not handled by IBM in on-prem setups.
Network security responsibilities also lie with the deploying organization, not IBM, in an on-premises model.

NEW QUESTION # 98
......

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