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

TopicDetails
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.
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 (Q179-Q184):

NEW QUESTION # 179
Which Watson Pipeline component puts a value in columns so it can be consumed by DataStage?

Answer: B

Explanation:
In Watson Pipelines, the component that enables users to define and assign values that can be referenced later in the pipeline-including by downstream components like DataStage-is Set User Variables. This component allows the user to create name-value pairs and store them as environment variables, which are accessible to DataStage and other execution blocks. This ensures dynamic parameter passing and enhances pipeline reusability. The other options listed do not correspond to valid Watson Pipeline components as defined in the official Cloud Pak for Data 4.7 release.


NEW QUESTION # 180
What are two ways to customize Knowledge Accelerators to meet specific requirements?

Answer: C,E

Explanation:
Customization of Knowledge Accelerators in IBM Cloud Pak for Data is a structured process to preserve the integrity of base content while allowing for extension. The recommended approaches include:
Creating a separate project for customizations, so that changes are isolated and easily managed without affecting the source accelerator.
Using a "development" vocabulary where custom terms and structures are created. This is separate from the "enterprise vocabulary," which contains the unmodified, original Knowledge Accelerator content. Inline editing of the original content is discouraged. Use of GitHub or namespaces is not part of the official customization workflow.


NEW QUESTION # 181
Which API allows the management of users, roles, and authentication, as well as monitors the status of the Cloud Pak for Data platform?

Answer: A


NEW QUESTION # 182
The data integration team at a financial services company has always struggled to manage resources as the number of integration jobs changes throughout the month. Which two settings are available when configuring Dynamic Workload Management for a specific DataStage instance?

Answer: B,C


NEW QUESTION # 183
What is a primary advantage of using Watson Pipelines in AI solution architecture?

Answer: B


NEW QUESTION # 184
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