100% Pass 2026 C1000-173: IBM Cloud Pak for Data v4.7 Architect–High Hit-Rate Real Exam Answers

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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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.
Topic 4
  • 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 (Q187-Q192):

NEW QUESTION # 187
What is the default schedule for the diagnostics monitor when using the Alerting APIs?

Answer: D

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 # 188
In Data Stage, why is the choice of storage class important?

Answer: A


NEW QUESTION # 189
Which Watson Pipeline component puts a value in columns so it can be consumed by DataStage?

Answer: C

Explanation:
In Watson Pipelines, the component that enables users to define and assign values that can be referenced later in the pipeline-including by downstream components like DataStage-is Set User Variables. This component allows the user to create name-value pairs and store them as environment variables, which are accessible to DataStage and other execution blocks. This ensures dynamic parameter passing and enhances pipeline reusability. The other options listed do not correspond to valid Watson Pipeline components as defined in the official Cloud Pak for Data 4.7 release.


NEW QUESTION # 190
What are two considerations when choosing the type of storage for Cloud Pak for Data?

Answer: A,C

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 # 191
How does Watson Discovery support effective knowledge management in an enterprise?

Answer: D


NEW QUESTION # 192
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