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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
Available Languages:English
Exam Format:Scenario-based, Multiple Response, Multiple Choice
Exam Duration:90 minutes
Real Exam Qty:63
Certificate Validity Period:3 Years
Exam Price:$250 USD
Passing Score:63%
Related Certifications:IBM Certified Administrator - Cloud Pak for Data
IBM Certified Analyst - Cloud Pak for Data
IBM Certified Data Engineer - Cloud Pak for Data
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
  • 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 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 3
  • 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 4
  • 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 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 (Q170-Q175):

NEW QUESTION # 170
What is the primary purpose of using DataStage in data integration processes?

Answer: C


NEW QUESTION # 171
Which of the following is watsonx.data most similar to?

Answer: B

Explanation:
watsonx.data is an open hybrid data lakehouse platform, combining the strengths of a data lake (flexibility and cost efficiency for unstructured data) with the structured query and performance features of a data warehouse. It is designed to handle both analytics and large-scale data storage, making it a hybrid solution rather than exclusively a data lake or data warehouse.


NEW QUESTION # 172
How does the 'Easy to use UI' feature in Cloud Pak for Data's Data Replication benefit users?

Answer: D


NEW QUESTION # 173
In a multi-tenant Cloud Pak for Data environment, which aspects are critical to ensure efficient resource allocation and isolation?

Answer: A,B,C


NEW QUESTION # 174
What is the significance of understanding storage classes in Watson OpenScale?

Answer: C


NEW QUESTION # 175
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