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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q26-Q31):

NEW QUESTION # 26
What is the default schedule for the diagnostics monitor when using the Alerting APIs?

A. Every 15 minutes
B. Every 10 minutes
C. Every 5 minutes
D. Every 30 minutes

Answer: B

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 # 27
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. Maximum expected throughput
C. Number of workers
D. Number of virtual cores
E. Amount of memory

Answer: C,E

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 # 28
Which statement is true about Cloud Pak for Data SIEM integration?

A. The Cloud Pak for Data Audit Logging Service explicitly supports the SIEM solutions: Splunk, QRadar, and Log360.
B. The Cloud Pak for Data Audit Logging Service uses Fluentd input streams to forward and export audit records.
C. Auditing logging is supported by all Cloud Pak for Data components and services.
D. If a connection to multiple SIEM systems has been established, the same method must be used to connect to each SIEM system.

Answer: B

Explanation:
Cloud Pak for Data provides audit logging capabilities via the Audit Logging Service, which uses Fluentd to collect, process, and forward log data to external SIEM solutions. Fluentd input streams are configured to export audit records in real time. While Splunk and QRadar are common integrations, Log360 is not explicitly listed in the official supported list. Each SIEM connection can be configured independently, and while audit logging is widely supported, it may not be enabled by default for every single service-therefore only option B is correct.

NEW QUESTION # 29
In Watson Discovery, what is the primary purpose of using query enrichment with machine learning models?

A. To increase the storage requirements
B. To reduce the data ingestion rate
C. To simplify the query language
D. To enhance the accuracy of search responses

Answer: D

NEW QUESTION # 30
Comparing data replication with an ETL tool, which feature is exclusive to data replication concerning real-time data changes?

A. Reduced data consistency
B. Batch processing of data changes
C. Immediate data synchronization
D. Deferred data update capabilities

Answer: C

NEW QUESTION # 31
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