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IBM C1000-173 Exam Syllabus Topics:

TopicDetails
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 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q159-Q164):

NEW QUESTION # 159
Which two features are valid only when deploying Cloud Pak for Data on-premises?

Answer: A,B

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 # 160
What are two considerations when choosing the type of storage for Cloud Pak for Data?

Answer: B,E

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 # 161
Which plug-in is used by the Cloud Pak for Data Audit Logging service to forward audit records to a SIEM system?

Answer: A

Explanation:
The Audit Logging service in IBM Cloud Pak for Data uses Fluentd as the core log forwarding mechanism. Fluentd output plug-ins are configured to route audit logs to external SIEM systems such as Splunk or QRadar. These plug-ins are versatile and support multiple formats and transport protocols. Other options listed--like Logstash, OSS/J, or Kafka--are not the designated default forwarding mechanisms used within the CP4D Audit Logging architecture.


NEW QUESTION # 162
Which Watson Assistant service captures telephone voice interactions for use by a cognitive agent or as a transcription for analytics processing?

Answer: A

Explanation:
Watson Assistant integrates with telephone systems through the Voice Gateway service. Voice Gateway captures real-time telephone voice interactions and can route them to a Watson Assistant chatbot or forward them for transcription and analytics. It enables cognitive agents to interact over voice channels and supports integration with SIP-based telephony systems. Voice Agent, Analyzer, and Transcriber are not standard Watson Assistant components within Cloud Pak for Data.


NEW QUESTION # 163
Which set of DataStage features are primarily intended to improve reusability and flexibility?

Answer: B

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 # 164
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