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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
Exam Format:	Scenario-based questions, Multiple choice
Exam Price:	USD 200
Passing Score:	66%
Certificate Validity Period:	No fixed expiration
Exam Duration:	90 minutes
Related Certifications:	IBM Certified Specialist - Cloud Pak for Data IBM Certified Solution Advisor - Cloud Pak for Data
Available Languages:	English
Real Exam Qty:	62
Recommended Training:	IBM Cloud Pak for Data Architecture and Implementation Solution Architect: IBM Cloud Pak for Data v4.x
Exam Registration:	IBM Certification Registration Pearson VUE
Sample Questions:	IBM C1000-173 Sample Questions
Exam Way:	Online proctored or onsite at authorized test centers
Pre Condition:	No mandatory prerequisites; recommended experience: 6+ months with Cloud Pak for Data, knowledge of OpenShift/Kubernetes, data architecture and governance concepts
Official Syllabus URL:	https://www.ibm.com/certify/exams/C1000-173

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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	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 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 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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q124-Q129):

NEW QUESTION # 124
What statement is true about tethered projects?

A. A tethered project cannot have its own NetworkPolicies, SecurityContext and ResourceQuota.
B. Tethered projects can be shared by multiple instances of Cloud Pak for Data.
C. Use tethered projects to isolate service instances or workloads from the rest of the Cloud Pak for Data deployment.
D. All Cloud Pak for Data services support running workloads or service instances in tethered projects.

Answer: C

NEW QUESTION # 125
Which two of the following can be used with Watson Pipelines?

A. Postgres
B. Bash scripts
C. Notebooks
D. PowerShell
E. Db2 Big SQL

Answer: B,C

Explanation:
Watson Pipelines in Cloud Pak for Data support orchestration of diverse workload types including notebooks (Python or similar interactive environments) and scripts such as Bash. These pipeline components allow integration of notebook cells or shell scripts as tasks. There is no built#in support for executing PowerShell tasks directly (unless wrapped in Bash-like containers), and Postgres is used as a data source-not a pipeline component type. While Db2 Big SQL can be invoked within a notebook or script, it is not itself a pipeline component. Therefore the supported types in pipelines are notebooks and Bash scripts.

NEW QUESTION # 126
How does the IBM Data Virtualization service virtualize files in shared directories?

A. A remote connector is installed and run on the source server.
B. Administrators configure FTP connections to the file source.
C. Users add shared file systems in the UI.
D. It scans its network for open file shares.

Answer: A

Explanation:
To virtualize files that reside in shared directories (e.g., NFS, SMB, or other on-premises sources), IBM Data Virtualization uses a remote connector agent. This remote connector is installed and executed on the source server to enable secure access and metadata extraction. The service does not scan networks automatically nor rely on FTP. Directly adding file shares via the UI is not sufficient without the backend connector in place, which acts as a secure communication bridge.

NEW QUESTION # 127
When creating a Db2 Big SQL service instance, which two service resource items should be taken into account when sizing the cluster?

A. Number of physical cores
B. Number of workers
C. Amount of memory
D. Maximum expected throughput
E. Number of virtual cores

Answer: B,C

Explanation:
When provisioning a Db2 Big SQL service instance in IBM Cloud Pak for Data, key considerations include the amount of memory available per worker node and the total number of worker nodes. These factors directly affect query execution parallelism and system capacity. The system does not distinguish between physical and virtual cores at the configuration level. Throughput is an outcome of sizing, not a direct sizing parameter.
Therefore, memory and number of workers are the two most critical sizing metrics.

NEW QUESTION # 128
Which two features are valid only when deploying Cloud Pak for Data on-premises?

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

Answer: A,C

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 # 129
......

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