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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
Related Certifications:IBM Certified Data Engineer - Cloud Pak for Data
IBM Certified Administrator - Cloud Pak for Data
IBM Certified Analyst - Cloud Pak for Data
Passing Score:63%
Certificate Validity Period:3 Years
Real Exam Qty:63
Available Languages:English
Exam Format:Scenario-based, Multiple Response, Multiple Choice
Exam Price:$250 USD
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
  • 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 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 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 (Q152-Q157):

NEW QUESTION # 152
Which Cloud Pak for Data service is used to cleanse and shape tabular data?

Answer: C

Explanation:
Data Refinery is the dedicated data preparation service in IBM Cloud Pak for Data. It enables users to cleanse, shape, filter, and enrich tabular datasets through a graphical interface. Users can create data preparation flows that integrate seamlessly with Watson Studio and other services. Data Manager and Data Wrangler are not services available in CP4D, and Watson Data is not a recognized component. Data Refinery is the officially supported tool for this purpose.


NEW QUESTION # 153
Which of the following is an example of a service available within IBM Cloud Pak for Data for analyzing and visualizing data?

Answer: B

Explanation:
IBM Cognos Analytics is a business intelligence and analytics service that helps users visualize, analyze, and generate reports from data. It integrates well with IBM Cloud Pak for Data to provide interactive dashboards and reports.


NEW QUESTION # 154
In the context of auditing, what does immutable logging ensure?

Answer: C


NEW QUESTION # 155
In deciding between managed and self-managed OpenShift for Cloud Pak for Data, what are key factors to consider?

Answer: A,B,D


NEW QUESTION # 156
Which feature distinguishes DataStage from other data transformation tools in Cloud Pak for Data?

Answer: D

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 # 157
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