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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 Cloud Pak for Data Data Engineer
IBM Cloud Pak for Data Administrator
Exam Price:USD 200 (varies by region)
Available Languages:English
Certificate Validity Period:3 years
Real Exam Qty:60-70
Exam Format:Multiple response, Multiple choice
Exam Duration:90 minutes
Recommended Training:IBM Cloud Pak for Data Learning Resources
Exam Registration:IBM Certification Portal
Sample Questions:IBM C1000-173 Sample Questions
Exam Way:Online proctored exam (remote) or authorized testing center
Pre Condition:No strict mandatory prerequisites, but strong familiarity with IBM Cloud Pak for Data architecture and services is recommended.
Official Syllabus URL:https://www.ibm.com/training/certification

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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
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 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 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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q58-Q63):

NEW QUESTION # 58
In what ways can data ingestion into watsonx.data be optimized for better performance?

Answer: A


NEW QUESTION # 59
What is the purpose of profiling data in Data Refinery?

Answer: D

Explanation:
Profiling data in Data Refinery is primarily used for validating the quality, structure, and characteristics of the dataset. It provides insights such as column data types, value distributions, null counts, and patterns, enabling users to detect anomalies, inconsistencies, or data quality issues before performing transformations or analytics. It is not intended for data loading (B), backups (C), or visualization (D), although it provides basic statistical overviews as part of validation.


NEW QUESTION # 60
Which feature distinguishes DataStage from other data transformation tools in Cloud Pak for Data?

Answer: A

Explanation:
What sets DataStage apart in the IBM Cloud Pak for Data ecosystem is its high-performance parallel execution engine. While other tools may offer graphical interfaces and transformation libraries, DataStage is designed for enterprise-grade ETL with scalable parallelism. It optimizes performance by processing large data volumes using parallel pipelines across multiple cores or nodes. This architecture ensures faster execution and is ideal for complex data integration tasks.


NEW QUESTION # 61
Which of the following is a benefit of multi-tenancy in cloud environments?

Answer: C


NEW QUESTION # 62
What post-installation step is essential for enhancing Watson Assistant's performance? (Select two)

Answer: A,B


NEW QUESTION # 63
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