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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
  • 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 3
  • 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 4
  • 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q128-Q133):

NEW QUESTION # 128
For ensuring high availability and disaster recovery in Cloud Pak for Data, which of the following components should be made redundant?

Answer: A,B,D


NEW QUESTION # 129
How does IBM Cloud Pak for Data support disaster recovery and business continuity planning?

Answer: B


NEW QUESTION # 130
When architecting a solution with Match 360, what is a crucial aspect to ensure data quality and consistency?

Answer: D


NEW QUESTION # 131
What is the role of IBM Db2 Warehouse within IBM Cloud Pak for Data?

Answer: B

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 # 132
What is the role of a "Connection" in the Cloud Pak for Data connectivity framework?

Answer: A

Explanation:
In IBM Cloud Pak for Data, a "Connection" is a configuration object that defines how to access an external data source, such as Db2, Oracle, or an S3 bucket. It does not involve moving or copying data. Instead, it acts as a reference to the external data source environment, enabling users to browse, query, and analyze the data in place. This approach supports virtualized access and governance while avoiding data duplication and ensuring data stays within its source system, aligning with enterprise data security policies.


NEW QUESTION # 133
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