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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
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 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	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 4	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 5	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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q168-Q173):

NEW QUESTION # 168
In the context of auditing, what does immutable logging ensure?

A. Non-repudiation
B. High availability
C. Log storage optimization
D. User authentication

Answer: A

NEW QUESTION # 169
Which Cloud Pak for Data services support multi-tenancy?

A. Services that mandate single-tenancy
B. Any service that can be configured with namespaces
C. Only those that require complete resource isolation
D. Services that do not allow for data segmentation

Answer: B

NEW QUESTION # 170
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. Auditing logging is supported by all Cloud Pak for Data components and services.
C. If a connection to multiple SIEM systems has been established, the same method must be used to connect to each SIEM system.
D. The Cloud Pak for Data Audit Logging Service uses Fluentd input streams to forward and export audit records.

Answer: D

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 # 171
When choosing between data replication and an ETL tool, which aspect of minimizing the impact of outages is enhanced by data replication?

A. Longer data recovery times
B. Quick resumption of data availability
C. Increased risk of data inconsistency post-outage
D. Reduced emphasis on disaster recovery planning

Answer: B

NEW QUESTION # 172
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 workers
B. Amount of memory
C. Maximum expected throughput
D. Number of physical cores
E. Number of virtual cores

Answer: A,B

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 # 173
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