C1000-173 Fragen Antworten, C1000-173 Fragen&Antworten

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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
Passing Score:63%
Available Languages:English
Related Certifications:IBM Certified Analyst - Cloud Pak for Data
IBM Certified Administrator - Cloud Pak for Data
IBM Certified Data Engineer - Cloud Pak for Data
Exam Duration:90 minutes
Real Exam Qty:63
Exam Format:Scenario-based, Multiple Choice, Multiple Response
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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C1000-173 Fragen&Antworten - C1000-173 Zertifizierungsprüfung

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IBM C1000-173 Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 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.
Thema 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 C1000-173 Prüfungsfragen mit Lösungen (Q111-Q116):

111. Frage
Which of the following are essential considerations when scaling Watson Assistant solutions across different geographies? (Select two)

Antwort: C,D


112. Frage
What is the purpose of Watson Knowledge Catalog in IBM Cloud Pak for Data?

Antwort: B

Begründung:
Watson Knowledge Catalog is a data governance and metadata management service. It allows organizations to catalog, classify, and manage data assets, ensuring compliance and facilitating data discovery for analytics and AI projects.


113. Frage
Which option is supported for backing up and restoring Cloud Pak for Data on a FIPS-enabled cluster?

Antwort: C

Begründung:
For Cloud Pak for Data deployed on a FIPS-enabled cluster, the supported method for backup and restore is the online backup and restore to the same cluster. This method ensures that the data and configuration remain compliant with FIPS encryption standards. Offline and cross-cluster restore methods are not supported under FIPS constraints due to strict requirements around key handling and encryption. The Snap and Restore Tool and Watson Backup Assistant are not applicable to this context.


114. Frage
How do Metro-DR and Regional-DR differ in terms of disaster recovery planning?

Antwort: C


115. Frage
What must be created to enable the Cloud Pak for Data platform to use a company's custom CA certificate to validate certificates from internal servers?

Antwort: C

Begründung:
To enable IBM Cloud Pak for Data to trust certificates from internal servers using a custom Certificate Authority (CA), the correct method is to create a Kubernetes ConfigMap that contains the CA certificate. This ConfigMap is referenced by the platform's foundational services to include the CA in the trusted root store.
Secrets are typically used for storing sensitive data like private keys and TLS certificates but are not used for adding trusted root CAs at the platform level. A ConfigMap is explicitly required by the platform to inject the CA trust into the certificate validation chain.


116. Frage
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