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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 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 3	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 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.
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 (Q66-Q71):

NEW QUESTION # 66
What signifies the business value of Db2/BigSQL?

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

Answer: D

NEW QUESTION # 67
What is the primary requirement to enforce data privacy in Cloud Pak for Data?

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

Answer: A

NEW QUESTION # 68
Which set of DataStage features are primarily intended to improve reusability and flexibility?

A. Schema drift support, Dynamic Workload Management, and ELT run mode.
B. DataStage connectors, Qualitystage stages, and DataStage Pipeline components.
C. DataStage components, parameters, parameter sets, and environment variables.
D. Macros, DataStage APIs, and DataStage jobs

Answer: C

Explanation:
DataStage promotes modularity and reusability through the use of components such as job stages, parameters, parameter sets, and environment variables. Parameters and parameter sets allow dynamic configuration of jobs, enabling reuse across environments and reducing hardcoding. Environment variables allow users to define global job behavior across projects. These elements significantly enhance development efficiency and pipeline portability. Other features like schema drift and ELT modes support execution flexibility, but they are not primarily focused on reusability.

NEW QUESTION # 69
Which two features are valid only when deploying Cloud Pak for Data on-premises?

A. Persistent storage is always used.
B. Network security is managed by IBM.
C. Services are automatically updated.
D. Compute resources are automatically scaled.
E. The number of OpenShift nodes is configured by the administrator.

Answer: A,E

Explanation:
In on-premises deployments of IBM Cloud Pak for Data:
Administrators have full control over the number of OpenShift nodes, unlike cloud-managed environments where node scaling may be automatic or abstracted. Persistent storage is always required and configured by the infrastructure team to meet service requirements and ensure data availability.
Auto-scaling of compute and automatic updates of services are not handled by IBM in on-prem setups. Network security responsibilities also lie with the deploying organization, not IBM, in an on-premises model.

NEW QUESTION # 70
In the context of Db2 services, which two authentication methods ensure secure API access?

A. Basic authentication
B. API keys
C. OAuth 2.0
D. Unencrypted credentials

Answer: A,C

NEW QUESTION # 71
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