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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
Related Certifications:IBM Cloud Pak for Data Data Engineer
IBM Cloud Pak for Data Administrator
Certificate Validity Period:3 years
Exam Duration:90 minutes
Exam Format:Multiple choice, Multiple response
Exam Price:USD 200 (varies by region)
Real Exam Qty:60-70
Available Languages:English
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:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.

IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q54-Q59):

NEW QUESTION # 54
What is the role of a "Connection" in the Cloud Pak for Data connectivity framework?

Answer: B

Explanation:
In IBM Cloud Pak for Data, a "Connection" is a configuration object that defines how to access an external data source, such as Db2, Oracle, or an S3 bucket. It does not involve moving or copying data. Instead, it acts as a reference to the external data source environment, enabling users to browse, query, and analyze the data in place. This approach supports virtualized access and governance while avoiding data duplication and ensuring data stays within its source system, aligning with enterprise data security policies.


NEW QUESTION # 55
What is the default schedule for the diagnostics monitor when using the Alerting APIs?

Answer: C

Explanation:
You can use the IBM Software Hub monitoring and alerting framework to monitor the state of the platform.
You can set up events to alert when action is needed, based on thresholds that you define.
By default, IBM Software Hub is initialized with one monitor that runs every ten minutes. The diagnostic monitor records the status of deployments, StatefulSets, and persistent volume claims. It also tracks your system usage of virtual processors (vCPUs) and memory. The data that is collected can be used for analysis and to alert customers in a production environment based on set alert rules.


NEW QUESTION # 56
What are two considerations when choosing the type of storage for Cloud Pak for Data?

Answer: B,D

Explanation:
When selecting storage for Cloud Pak for Data, two critical considerations are:
Ensuring the storage supports the specific services being deployed. Not all services are compatible with every storage type (e.g., some services require block storage, others may support NFS).
The storage must provide sufficient I/O performance to meet the operational demands of the workloads.
Transmission speeds and throughput metrics are useful but not directly required as standalone criteria.
Additionally, NFS is not universally supported by all services; some services specifically require RWO (ReadWriteOnce) or RWX (ReadWriteMany) access modes.


NEW QUESTION # 57
Which two features are valid only when deploying Cloud Pak for Data on-premises?

Answer: C,D

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 # 58
In which situation would you specifically label nodes for DB2 workloads?

Answer: C


NEW QUESTION # 59
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