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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	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 5	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.

Reference: https://www.ibm.com/training/certification/ibm-certified-architect-cloud-pak-for-data-v47-C9006000#exam

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IBM Cloud Pak for Data v4.7 Architect Sample Questions:

Question #1

How does utilizing namespaces in a single Cloud Pak for Data instance facilitate multi-tenancy?

A. Providing logical separation between different tenant environments
B. By allowing unrestricted access between different namespaces
C. Treating all namespaces as a single entity without any differentiation
D. Ensuring there is no isolation between different tenant environments

Reveal Solution Discussion 0

Correct Answer: A 🗳️

Question #2

A customer wants to manage Cloud Pak for Data secrets via an existing supported vault system.
What is needed to integrate any supported vault systems into Cloud Pak for Data?

A. Client certificate to authenticate to the vault.
B. Fully qualified URL of the vault.
C. Client key in .key or .pem format to authenticate to the vault.
D. Username and password of the vault.

Reveal Solution Discussion 0

Correct Answer: B 🗳️

Explanation: Only visible for VCEDumps members. You can sign-up / login (it's free).

Question #3

What is a key method to achieve multi-tenancy within a single instance of Cloud Pak for Data?

A. Combining data from all tenants
B. Utilizing shared namespaces for all tenants
C. Ignoring resource quotas
D. Utilizing shared namespaces for all tenants

Reveal Solution Discussion 0

Correct Answer: D 🗳️

Question #4

Which statement is true about governing data lakes in IBM Knowledge Catalog?

A. It increases the time and effort required for data discovery and cataloging.
B. All data is masked with no user intervention.
C. It relies on manual processes for accessing enterprise data.
D. It automates data discovery and provides access to enterprise data through virtualization.

Reveal Solution Discussion 0

Correct Answer: D 🗳️

Explanation: Only visible for VCEDumps members. You can sign-up / login (it's free).

Question #5

Which of the following is watsonx.data most similar to?