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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 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 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 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
- 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.
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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q166-Q171):
NEW QUESTION # 166
How many service instances can be provisioned for Watson Discovery at one time?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
"You can create a maximum of10instances per deployment. After you reach the maximum number, the New instance button is not displayed in IBM Cloud Pak for Data."
NEW QUESTION # 167
After installing Watson Assistant, which of the following tasks are crucial? (Select two)
- A. Establishing a continuous integration pipeline
- B. Setting up a blockchain network
- C. After installing Watson Assistant, which of the following tasks are crucial?
- D. Integrating with existing databases and applications
Answer: C,D
NEW QUESTION # 168
What is the primary function of IBM Watson Assistant?
- A. To provide cloud storage solutions
- B. To enhance physical robotics with AI capabilities
- C. To build conversational interfaces for applications
- D. To manage large data sets efficiently
Answer: C
NEW QUESTION # 169
When assessing migration requirements to Cloud Pak for Data, what key elements should be evaluated to ensure a seamless transition?
- A. Custom code and integrations
- B. Data compatibility and format
- C. Training needs for users
- D. Regulatory compliance impacts
Answer: A,B,D
NEW QUESTION # 170
What is one benefit that collaborators in a catalog have in IBM Knowledge Catalog?
- A. They can only access data stored in PDF documents.
- B. They can see all the credentials associated with the data.
- C. They have full access to unstructured data in the catalog.
- D. They can access data assets without needing separate credentials.
Answer: D
Explanation:
Collaborators in IBM Knowledge Catalog are granted access to data assets that have been properly governed and made available through connections. Once a connection is established by an administrator or asset owner, users with collaborator roles can access the data without needing to re-enter credentials. This simplifies secure data consumption and aligns with enterprise access control policies. They do not see underlying credentials, and access is not limited to document types like PDFs.
NEW QUESTION # 171
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