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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	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	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 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 (Q35-Q40):

NEW QUESTION # 35
Which of the following are crucial considerations when establishing API security? (Select two)

A. Rate limiting
B. Encryption of data in transit
C. Frequent password rotations
D. Hardcoded credentials

Answer: A,B

NEW QUESTION # 36
Which statement describes MPP (Massively Parallel Processing) Database architecture?

A. An analytics environment that improves performance by dividing the data across many nodes.
B. A transactional system which uses multiple nodes for maximum availability.
C. A data warehouse that needs all compute nodes to access a shared data store simultaneously.
D. Two or more databases kept in sync via two-phase commit.

Answer: A

Explanation:
MPP, or Massively Parallel Processing, is a database architecture model where data is divided and processed across multiple compute nodes in parallel. Each node works independently on a portion of the data, dramatically improving query performance and throughput for analytics workloads. This model is ideal for big data and analytical queries, not transactional workloads. It differs from shared-disk models or replication strategies like two-phase commit. The correct definition involves distributed data and parallel query execution, as described in option C.

NEW QUESTION # 37
A Cloud Pak for Data installation was initially deployed on Microsoft Azure via the automated deployment option. What can be used to upgrade the environment?

A. PowerShell
B. Command Line Interface (CLI)
C. Cloud Providers Marketplace
D. GitHub Repo

Answer: B

Explanation:
For environments deployed via automated cloud options (such as Azure or AWS), upgrades are performed using the Command Line Interface (CLI). The CLI allows administrators to pull the latest operators, update foundational services, and upgrade installed services. The cloud marketplace is used only for initial provisioning, not for upgrades. PowerShell and GitHub repositories are not used as upgrade mechanisms within the official CP4D deployment lifecycle.

NEW QUESTION # 38
Which of the following is an example of a service available within IBM Cloud Pak for Data for analyzing and visualizing data?

A. IBM Db2 Warehouse
B. IBM Cognos Analytics
C. DataStage
D. Watson Studio

Answer: B

Explanation:
IBM Cognos Analytics is a business intelligence and analytics service that helps users visualize, analyze, and generate reports from data. It integrates well with IBM Cloud Pak for Data to provide interactive dashboards and reports.

NEW QUESTION # 39
How does watsonx.data provide data sharing between Db2 Warehouse, Netezza, and any other data management solution?

A. JSON file format
B. Secure File Transfer Protocol (SFTP)
C. watsonx.data proprietary fast loader
D. Iceberg tables

Answer: D

Explanation:
watsonx.data uses Apache Iceberg tables as the open table format for data sharing across platforms like Db2 Warehouse, Netezza, and other compatible data management solutions. Iceberg provides a transactional and schema-evolution-friendly table layer, allowing multiple engines to read and write data concurrently. This approach avoids proprietary loaders or simple file transfers and ensures efficient interoperability between different systems.

NEW QUESTION # 40
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