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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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 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 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q20-Q25):

NEW QUESTION # 20
What must be created to enable the Cloud Pak for Data platform to use a company's custom CA certificate to validate certificates from internal servers?

A. A configmap that contains all internal server certificate chains.
B. A secret that contains the company's CA certificate.
C. A configmap that contains the company's CA certificate.
D. A secret containing a wildcard certificate for all internal servers.

Answer: C

Explanation:
To enable IBM Cloud Pak for Data to trust certificates from internal servers using a custom Certificate Authority (CA), the correct method is to create a Kubernetes ConfigMap that contains the CA certificate. This ConfigMap is referenced by the platform's foundational services to include the CA in the trusted root store.
Secrets are typically used for storing sensitive data like private keys and TLS certificates but are not used for adding trusted root CAs at the platform level. A ConfigMap is explicitly required by the platform to inject the CA trust into the certificate validation chain.

NEW QUESTION # 21
How are caches defined in IBM Data Virtualization?

A. DataStage flows are created in a project for maintaining caches.
B. Caches are manually defined based on recommendations and monitoring data.
C. They are created automatically based on usage patterns.
D. Caches are suggested based on statistics collected during data source configuration.

Answer: B

Explanation:
In IBM Data Virtualization, caches must be manually defined by administrators. While monitoring and query performance statistics can guide where caching would be beneficial, the creation and configuration of caches (e.g., refresh schedules and scope) are manual tasks. There is no automated cache creation mechanism (A), nor are DataStage flows used for cache maintenance (B). Suggestions based on statistics (D) may assist administrators, but they do not automatically create the caches.

NEW QUESTION # 22
Which of the following IBM Cloud Pak for Data services are essential for real-time data analysis and decision-making? (Select two)

A. Decision Optimization
B. Watson Knowledge Catalog
C. Db2 Event Store
D. Watson Studio

Answer: A,C

NEW QUESTION # 23
How does Watson Discovery support effective knowledge management in an enterprise?

A. By prioritizing data deletion
B. By limiting access to structured data only
C. By enabling intuitive data archiving
D. By facilitating deep insights extraction from complex documents

Answer: D

NEW QUESTION # 24
What is one benefit that collaborators in a catalog have in IBM Knowledge Catalog?

A. They can only access data stored in PDF documents.
B. They can access data assets without needing separate credentials.
C. They can see all the credentials associated with the data.
D. They have full access to unstructured data in the catalog.

Answer: B

Explanation:
Collaborators in IBM Knowledge Catalog are granted access to data assets that have been properly governed and made available through connections. Once a connection is established by an administrator or asset owner, users with collaborator roles can access the data without needing to re-enter credentials. This simplifies secure data consumption and aligns with enterprise access control policies. They do not see underlying credentials, and access is not limited to document types like PDFs.

NEW QUESTION # 25
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