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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
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	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.
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	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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q38-Q43):

NEW QUESTION # 38
When planning the implementation of Cloud Pak for Data, which of the following services might be considered essential based on the business requirements?

A. Storage optimization
B. Network monitoring
C. Data governance
D. AI workflows

Answer: C,D

NEW QUESTION # 39
When upgrading to Cloud Pak for Data v4.7, why must an export/import of governance data be performed?

A. Containers are ephemeral and cannot persist the data.
B. Catalog data must be relocated to persistent storage.
C. Components of Information Server have been removed from the product.
D. The underlying Db2 repository has been altered.

Answer: D

Explanation:
During the upgrade to Cloud Pak for Data version 4.7, significant changes were made to the underlying metadata repository, which is powered by Db2. These changes affect how governance data is stored and accessed, and an export/import is necessary to ensure compatibility and data integrity. The export step extracts governance metadata using the supported utility, and after the upgrade, it is re-imported into the upgraded structure. This is not due to container ephemerality or storage changes, but because of schema and format changes in Db2.

NEW QUESTION # 40
An organization has created an extensive number of data protection rules as part of their Cloud Pak for Data implementation. The governance team is working on developing best practices for their team to maximize this investment. Which service can be used to create a copy of cataloged asset data with all data protection rules applied?

A. SPSS Modeler
B. Data Privacy
C. IBM Data Virtualization
D. DataStage

Answer: B

NEW QUESTION # 41
What is a benefit of utilizing the IBM Data Virtualization service?

A. Discover and classify sensitive information.
B. Access to many different data sources can be governed centrally.
C. Data can be copied to the platform quickly and easily.
D. Workloads can bypass data source security for faster execution.

Answer: B

Explanation:
IBM Data Virtualization allows users to query and combine data from multiple disparate sources without physically moving it. One of its key benefits is that it enables central governance of access and policies across these data sources. Rather than duplicating data, the service provides virtualized views while maintaining source security and compliance. It does not bypass security (B), nor is its main goal to copy data (A). Discovering and classifying sensitive information (C) is primarily the function of IBM Knowledge Catalog.

NEW QUESTION # 42
What is the primary function of IBM Watson Assistant?

A. To build conversational interfaces for applications
B. To manage large data sets efficiently
C. To enhance physical robotics with AI capabilities
D. To provide cloud storage solutions

Answer: A

NEW QUESTION # 43
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