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IBM C1000-136 Exam Topics
Build Data Science algorithms 14%
Machine learning Operations 16%
Cloud Pak for Data Artechitecure 21%
Integration, Implementation, Deployment, and Scaling 10%
Data Governance 22%
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IBM Cloud Pak for Data v4.x Solution Architecture Sample Questions (Q20-Q25):
NEW QUESTION # 20
Which two endpoints must be exposed in a custom machine learning engine for Watson OpenScale to be able to work with it?
- A. Create
- B. Scoring
- C. Execute
- D. Discovery
- E. Connect
Answer: B,D
NEW QUESTION # 21
What are deployment spaces used for when working with Watson Machine Learning?
- A. Manage Cloud Pak for Data resources
- B. Organize machine learning models into different deployment pods
- C. Create a collaboration space for developers to create work items, bugs, and system documentation
- D. Create and manage deployments for machine learning models
Answer: D
NEW QUESTION # 22
Cognos Analytics integrates with which data science offering?
- A. Decision Optimization
- B. Apache Spark
- C. Jupyter Notebooks
- D. RStudio
Answer: A
NEW QUESTION # 23
Which statement is true about T-Shirt size scaling using Cloud Pak for Data?
- A. It can be changed any time but only for specific services.
- B. It is only set at provisioning time.
- C. It can be changed any time but only for the entire platform.
- D. It can be changed any time but only be increased.
Answer: A
NEW QUESTION # 24
Which statement describes the Analyze step in IBM's Al Ladder?
- A. The Watson Knowledge Catalog service classifies, governs and catalogs data.
- B. Cloud Pak for Data includes numerous services that generate scalable insight on demand.
- C. Cloud Pak for Data helps connect to data, no matter where it lives.
- D. Al becomes a part of the standard operating procedure for the enterprise.
Answer: B
NEW QUESTION # 25
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