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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	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 3	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 4	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 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 (Q161-Q166):

NEW QUESTION # 161
What is the primary goal of High Availability in computing environments?

A. To ensure a system operates at its peak capacity
B. To minimize downtime and prevent data loss
C. To reduce the efficiency of backup processes
D. To maximize system downtime

Answer: B

NEW QUESTION # 162
In terms of managing security for data stores in Watson Assistant, what practices should be emphasized? (Select two)

A. Implementing role-based access control
B. Regularly updating access credentials
C. Encrypting all stored data, both at rest and in transit
D. Using a public network for easier access

Answer: B,C

NEW QUESTION # 163
What outcomes can be achieved from Match 360?

A. Produces a AI based dashboard to let users analyze business data.
B. Produces statistics and graphs to let users analyze and explore master data.
C. Connect disparate data sources to provide a virtual view of your data.
D. Uses a dialog format to talk with your data to get insights.

Answer: B

Explanation:
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data. It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).

NEW QUESTION # 164
What is Continuous Availability in the context of system design?

A. Planning for frequent and prolonged outages
B. Ensuring systems are never updated or maintained
C. Achieving near-zero downtime and data loss
D. Allowing occasional system failures without backup

Answer: C

NEW QUESTION # 165
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 # 166
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