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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 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 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 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 (Q86-Q91):

NEW QUESTION # 86
What endpoint will an application use to interact with Db2 Big SQL?

A. Dynamic Representative Endpoint Activation Mobility (DREAM)
B. Simple Normalized Optimum Representative Endpoint (SNORE)
C. Representative State Transfer (REST) Endpoint
D. System Local Efficient Endpoint Pathways (SLEEP)

Answer: C

Explanation:
Applications interact with Db2 Big SQL using industry-standard protocols. The most common and supported interface is through a REST (Representative State Transfer) API endpoint. REST endpoints allow for external applications to query, manage, and manipulate data within Big SQL using simple HTTP calls. None of the other options-SLEEP, SNORE, or DREAM-are valid or recognized interfaces in IBM Cloud Pak for Data or Db2 Big SQL documentation.

NEW QUESTION # 87
Which statement is true about Cloud Pak for Data SIEM integration?

A. Auditing logging is supported by all Cloud Pak for Data components and services.
B. If a connection to multiple SIEM systems has been established, the same method must be used to connect to each SIEM system.
C. The Cloud Pak for Data Audit Logging Service explicitly supports the SIEM solutions: Splunk, QRadar, and Log360.
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 # 88
What is a key feature of online storage options for IBM Cloud Pak for Data?

A. Used primarily for archived data
B. High availability and quick access to data
C. Data is not accessible instantly
D. Lower performance compared to offline storage

Answer: B

NEW QUESTION # 89
What is a critical aspect of monitoring DB2 services to enable efficient user querying?

A. Ignoring query performance metrics
B. Disabling user access to monitoring tools
C. Ensuring that only DB administrators can monitor the system
D. Providing insights into query execution and performance

Answer: D

NEW QUESTION # 90
What is the primary purpose of certificate revocation in a certificate management system?

A. To update certificate information
B. To extend the validity of a certificate
C. To indicate that a certificate is no longer trustworthy
D. To renew certificates automatically

Answer: C

NEW QUESTION # 91
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