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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:$250 USD
Real Exam Qty:63
Available Languages:English
Exam Format:Scenario-based, Multiple Response, Multiple Choice
Passing Score:63%
Related Certifications:IBM Certified Data Engineer - Cloud Pak for Data
IBM Certified Administrator - Cloud Pak for Data
IBM Certified Analyst - Cloud Pak for Data
Exam Duration:90 minutes
Certificate Validity Period:3 Years
Sample Questions:IBM C1000-173 Sample Questions
Exam Way:Online proctored or at authorized Pearson VUE test centers
Pre Condition:No formal prerequisites required, but recommend having prior experience with IBM Cloud Pak for Data administration, Red Hat OpenShift Container Platform, and general data architecture principles.
Official Syllabus URL:https://www.ibm.com/certify/exam?id=173

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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
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
  • 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 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.
Topic 5
  • 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 (Q37-Q42):

NEW QUESTION # 37
What are the key benefits of utilizing Watson Pipelines in data processing? (Select two)

Answer: C,D


NEW QUESTION # 38
What is the role of IBM Db2 Warehouse within IBM Cloud Pak for Data?

Answer: A

Explanation:
IBM Db2 Warehouse is an integral part of IBM Cloud Pak for Data. It is a scalable and cloud- based data warehouse designed for large-scale analytics. It supports advanced analytics, reporting, and visualization within the Cloud Pak for Data ecosystem.


NEW QUESTION # 39
Which of the following best describes the importance of encryption of data at rest in IBM Cloud Pak for Data?

Answer: A


NEW QUESTION # 40
What is the primary purpose of using DataStage in data integration processes?

Answer: A


NEW QUESTION # 41
Which Cloud Pak for Data services support multi-tenancy?

Answer: D


NEW QUESTION # 42
......

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