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IBM C1000-173 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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 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
- 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.
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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q60-Q65):
NEW QUESTION # 60
When designing a virtual agent using Watson Assistant, what is a critical factor to consider for ensuring effective user engagement?
- A. Maximizing response time to user queries
- B. Restricting the use of multi-turn conversations
- C. Minimizing the use of entities and intents
- D. Providing context-aware responses
Answer: D
NEW QUESTION # 61
Which of the following is watsonx.data most similar to?
- A. A data warehouse only
- B. A data lake only
- C. A combination of data warehouse and data lake
- D. A transactional database
Answer: C
Explanation:
watsonx.data is an open hybrid data lakehouse platform, combining the strengths of a data lake (flexibility and cost efficiency for unstructured data) with the structured query and performance features of a data warehouse. It is designed to handle both analytics and large-scale data storage, making it a hybrid solution rather than exclusively a data lake or data warehouse.
NEW QUESTION # 62
For achieving optimal performance in IBM Cloud Pak for Data, which storage solution should be utilized for analytical workloads requiring high IOPS?
- A. SSD-based storage
- B. File storage
- C. Block storage
- D. Object storage
Answer: A
NEW QUESTION # 63
What is a primary advantage of using Watson Pipelines in AI solution architecture?
- A. Reducing data integrity
- B. Providing end-to-end data processing automation
- C. Isolating data silos
- D. Decreasing the transparency of data processing
Answer: B
NEW QUESTION # 64
Which of the following best describes the importance of encryption of data at rest in IBM Cloud Pak for Data?
- A. Enhances visual appeal of the data
- B. Protects sensitive information from unauthorized access
- C. Decreases data retrieval time
- D. It is optional for all types of data
Answer: B
NEW QUESTION # 65
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