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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	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 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.

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q59-Q64):

NEW QUESTION # 59
What is the primary goal of High Availability in computing environments?

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

Answer: A

NEW QUESTION # 60
What are the key benefits of utilizing Watson Pipelines in data processing? (Select two)

A. Manual data entry minimization
B. Automated data transformation
C. Reduction in network latency
D. Real-time data processing

Answer: B,D

NEW QUESTION # 61
What signifies the business value of Db2/BigSQL?

A. Its ability to restrict data access to a limited number of users
B. Its function in increasing data processing time
C. Its capacity to handle large volumes of data efficiently
D. Its role in reducing the graphical user interface quality

Answer: C

NEW QUESTION # 62
When migrating DataStage, what are key considerations? (Select two)

A. Maintaining data encryption standards throughout the process
B. Ensuring uninterrupted power supply during migration
C. Ensuring compatibility of data formats between old and new systems
D. Checking the network bandwidth availability

Answer: A,C

NEW QUESTION # 63
For achieving optimal performance in IBM Cloud Pak for Data, which storage solution should be utilized for analytical workloads requiring high IOPS?

A. File storage
B. Object storage
C. SSD-based storage
D. Block storage

Answer: C

NEW QUESTION # 64
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