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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	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	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 4	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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q61-Q66):

NEW QUESTION # 61
Which of the following best describes the business value of DataStage?

A. It increases the need for manual intervention in data processing.
B. It solely enhances the aesthetic appeal of data reports.
C. It reduces the operational cost by automating data integration tasks.
D. It decreases the flexibility in handling various data formats.

Answer: C

NEW QUESTION # 62
Which component of IBM Cloud Pak for Data enables data integration and transformation?

A. Watson Knowledge Catalog
B. OpenShift
C. DataStage
D. Watson Studio

Answer: C

Explanation:
IBM DataStage is a powerful data integration and ETL (Extract, Transform, Load) tool within Cloud Pak for Data. It helps organizations integrate and transform data from various sources to ensure consistency and quality before feeding it into analytics systems.

NEW QUESTION # 63
What is the purpose of the IBM Data Replication service?

A. To integrate and synchronize data.
B. To transform and validate data moving from source to target.
C. To monitor database activity.
D. To provide a unified view of disparate data sources.

Answer: A

Explanation:
The IBM Data Replication service in Cloud Pak for Data is designed to integrate and synchronize data between various systems, ensuring that data in target systems is kept up-to-date with the source systems. It supports near real-time replication and change data capture (CDC) mechanisms, making it ideal for analytics environments that require continuous synchronization. The service is not a tool for database activity monitoring (A), creating unified virtual views (B), or performing heavy data transformations (D).

NEW QUESTION # 64
How does data replication facilitate multi-site data distribution?

A. By increasing the complexity of data management
B. By ensuring data is available across different geographical locations
C. By increasing the complexity of data management
D. By limiting data access to a single location

Answer: B

NEW QUESTION # 65
Which features of the IBM Knowledge Catalog service are unavailable with the Data Governance Express offering?

A. Lineage and semantic search
B. Semantic search and metadata analysis
C. Advanced metadata export and lineage
D. Data quality features in analytics projects and ETL

Answer: C

Explanation:
IBM Knowledge Catalog's Data Governance Express offering is a lightweight configuration meant for streamlined governance needs. It includes core capabilities like cataloging and basic lineage but does not support advanced metadata export or full-scale lineage visualization and tracking features. These advanced features are only available in the full IBM Knowledge Catalog service.
The Express tier is designed for simpler use cases and quicker onboarding with limited governance overhead.

NEW QUESTION # 66
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