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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	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 3	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 (Q100-Q105):

NEW QUESTION # 100
Which statement is true about Cloud Pak for Data SIEM integration?

A. The Cloud Pak for Data Audit Logging Service uses Fluentd input streams to forward and export audit records.
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 explicitly supports the SIEM solutions: Splunk, QRadar, and Log360.

Answer: A

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 # 101
Which component of IBM Cloud Pak for Data enables data integration and transformation?

A. Watson Knowledge Catalog
B. OpenShift
C. Watson Studio
D. DataStage

Answer: D

Explanation:
IBM DataStage is a powerful data integration and ETL (Extract, Transform, Load) tool within Cloud Pak for Data. It helps organizations integrate and transform data from various sources to ensure consistency and quality before feeding it into analytics systems.

NEW QUESTION # 102
Why is it important to differentiate between Metro-DR and Regional-DR in disaster recovery planning?

A. To complicate the recovery process
B. To ensure inappropriate resource allocation
C. To uniformly apply the same strategy across all locations
D. To tailor the DR strategy to specific business needs and geographical risks

Answer: D

NEW QUESTION # 103
In the context of data replication, what is a key benefit of minimizing the impact of outages?

A. Enhanced business continuity and disaster recovery
B. Increased data loss during outages
C. Reduced system reliability
D. Prolonged data unavailability

Answer: A

NEW QUESTION # 104
When planning an environment for multiple Cloud Pak deployments, what is crucial?

A. Ensuring all deployments share the same resources
B. Ignoring the specific needs and scale of each deployment
C. Tailoring resource allocation and access controls per deployment
D. Combining all user data into a single deployment for ease of access

Answer: C

NEW QUESTION # 105
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