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IBM C1000-173 Exam Overview:

Certification Vendor:	IBM
Exam Name:	IBM Cloud Pak for Data v4.7 Architect
Exam Number:	C1000-173
Available Languages:	English
Exam Duration:	90 minutes
Real Exam Qty:	60-70
Exam Price:	USD 200 (varies by region)
Exam Format:	Multiple choice, Multiple response
Related Certifications:	IBM Cloud Pak for Data Data Engineer IBM Cloud Pak for Data Administrator
Certificate Validity Period:	3 years
Recommended Training:	IBM Cloud Pak for Data Learning Resources
Exam Registration:	IBM Certification Portal
Sample Questions:	IBM C1000-173 Sample Questions
Exam Way:	Online proctored exam (remote) or authorized testing center
Pre Condition:	No strict mandatory prerequisites, but strong familiarity with IBM Cloud Pak for Data architecture and services is recommended.
Official Syllabus URL:	https://www.ibm.com/training/certification

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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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q11-Q16):

NEW QUESTION # 11
In DataStage, how is workload management typically achieved?

A. By prioritizing workloads based solely on data volume
B. Through an automated, policy-driven approach
C. By employing external workload management tools
D. By manually distributing tasks across nodes

Answer: B

NEW QUESTION # 12
When granting a user access to the Data Engineer role, which two permissions will the user be associated with as part of this role?

A. Manage workflows
B. Create projects
C. Manage platform
D. Monitor project workload
E. Manage data protection rules

Answer: B,E

Explanation:
The Data Engineer role in IBM Cloud Pak for Data includes permissions necessary for managing the data pipeline lifecycle. This includes the ability to create projects, manage data assets, and configure data protection rules, which are critical for ensuring data privacy and governance. The role does not include platform-level administrative privileges like managing the platform or monitoring all workloads. Workflow management is typically assigned to users with broader project or orchestrator roles.

NEW QUESTION # 13
If a Cloud Pak for Data cluster is air-gapped, it is unable to reach the internet, and a private registry must be configured for installations and upgrades. Beyond container images, what other components need to be addressed?

A. Utilities, like pip, still require a connection to the internet by default.
B. License validation requires periodic updates via internet proxy.
C. Data movement between nodes must be blocked via firewall rules.
D. Platform monitoring messages are sent via an internet messaging hub.

Answer: A

Explanation:
In air-gapped (offline) environments, it's not just the container images that require preparation.
Package managers like pip (for Python) and other utilities commonly attempt to pull dependencies from public internet repositories. These must be redirected to internal mirrors or handled via offline bundles. If left unaddressed, certain operations within components like Jupyter notebooks, Watson Studio, or pipelines may fail. License validation and monitoring do not inherently require internet access, and data movement between nodes is part of normal cluster function--not something to be blocked.

NEW QUESTION # 14
How can IBM Cloud Pak for Data facilitate the management of data compliance and privacy?

A. By enabling fine-grained access control
B. By providing a comprehensive data catalog
C. By automating data masking processes
D. All of the above

Answer: D

NEW QUESTION # 15
How are caches defined in IBM Data Virtualization?

A. DataStage flows are created in a project for maintaining caches.
B. Caches are suggested based on statistics collected during data source configuration.
C. They are created automatically based on usage patterns.
D. Caches are manually defined based on recommendations and monitoring data.

Answer: D

Explanation:
In IBM Data Virtualization, caches must be manually defined by administrators. While monitoring and query performance statistics can guide where caching would be beneficial, the creation and configuration of caches (e.g., refresh schedules and scope) are manual tasks. There is no automated cache creation mechanism (A), nor are DataStage flows used for cache maintenance (B). Suggestions based on statistics (D) may assist administrators, but they do not automatically create the caches.

NEW QUESTION # 16
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