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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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 4
  • 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q150-Q155):

NEW QUESTION # 150
An enterprise architect in a financial institute is deciding on the deployment option for Cloud Pak for Data on their existing OpenShift Container Platform cluster. They have decided to use an automated deployment option and install Cloud Pak for Data from the cloud provider's marketplace. What are the limitations they may face with this decision?

Answer: B

Explanation:
Partial installation of Cloud Pak for Data must be done manually during the first-time installation, especially when the installation is performed from the cloud provider's marketplace. Certain steps in the installation process may need to be done manually, such as the configuration of services or additional customization needed for the specific environment.


NEW QUESTION # 151
Which of the following is an example of a service available within IBM Cloud Pak for Data for analyzing and visualizing data?

Answer: A

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 # 152
In a multi-tenant Cloud Pak for Data environment, which aspects are critical to ensure efficient resource allocation and isolation?

Answer: A,B,D


NEW QUESTION # 153
In the context of auditing, what does immutable logging ensure?

Answer: C


NEW QUESTION # 154
How do Massively Parallel Processing (MPP) and Symmetric Multiprocessing (SMP) differ in a Db2 environment?

Answer: A


NEW QUESTION # 155
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