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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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.
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.
Topic 5	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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q155-Q160):

NEW QUESTION # 155
Insurance industry datasets frequently include personally identifiable information (PII) and many data analysts need access to datasets but not to PII. Which Cloud Pak for Data services leverage Data Protection Rules?

A. IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog
B. DataStage, SPSS Modeler, and Python Notebooks
C. Data Refinery, Watson Pipeline, and Watson Studio
D. Watson Discovery and Watson Assistant

Answer: A

Explanation:
IBM Cloud Pak for Data includes built-in Data Protection Rules to enforce access control on sensitive data, such as PII. These rules are integrated directly into services like IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog. When analysts or applications access data through these services, the platform automatically masks, obfuscates, or restricts access to sensitive fields based on the defined policies. This ensures compliance with data privacy regulations and organizational security policies without manual intervention.

NEW QUESTION # 156
What is a benefit of utilizing the IBM Data Virtualization service?

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

Answer: D

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 # 157
Why is tethering projects to the IBM Cloud Pak for Data control plane beneficial?

A. Enhances project isolation while enabling resource access control
B. Disallows resource monitoring and management
C. It ensures all projects are untethered for greater flexibility
D. It prevents any form of project organization

Answer: A

NEW QUESTION # 158
What is the primary requirement to enforce data privacy in Cloud Pak for Data?

A. A properly configured Governance Catalog.
B. Data Privacy service is installed.
C. Data source access control lists are properly defined.
D. Data assets are exclusively accessed through IBM Data Virtualization.

Answer: A

NEW QUESTION # 159
What signifies the business value of Db2/BigSQL?

A. Its capacity to handle large volumes of data efficiently
B. Its ability to restrict data access to a limited number of users
C. Its role in reducing the graphical user interface quality
D. Its function in increasing data processing time

Answer: A

NEW QUESTION # 160
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