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>> C1000-136考試 <<

專業的C1000-136考試,高質量的考試指南幫助妳壹次性通過C1000-136考試

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IBM C1000-136 考試大綱:

主題簡介
主題 1
  • Identify and explain how to build and deploy ML
  • AI algorithms in Cloud Pak for data
  • Integrating Business Applications using Cloud Pak for Data
主題 2
  • Identify and explain how to collect, explore, and prepare data for ML
  • AI algorithms in Cloud Pak for Data
  • Explain the workflow of deploying and monitoring models
主題 3
  • Develop a strategy to monitor the Data and AI platform
  • Map business opportunities into a data governance use case
主題 4
  • Develop an appropriate process to take a Data and AI solution from inception to production
  • Leverage the platform to understand data flow and usage
主題 5
  • Explain the use of Guardium in auditing and monitoring data
  • Understand how workflow is used in Cloud Pak for Data
主題 6
  • Accelerate the solution using Industry Accelerators and External Data sets
  • Understand the underlying infrastructure and installation
主題 7
  • Map business opportunities into a Data Science use case
  • Monitor machine learning models running on an external platform
主題 8
  • Describe the capabilities of a data fabric topology
  • Understand Cloud Pak for Data reference architecture

最新的 IBM Certification C1000-136 免費考試真題 (Q62-Q67):

問題 #62
Which service is used to perform descriptive analytics and can answer the question, "what happened in my data?"

  • A. Cognos Analytics
  • B. SPSS
  • C. Watson Machine Learning
  • D. Decision Optimization

答案:D


問題 #63
A customer has data in an Oracle database and wants to sync their data assets to Watson Knowledge Catalog's default catalog. What type of connection do they need to add in the Information Assets view?

  • A. JDBC connection
  • B. RDP connection
  • C. HTTPS connection
  • D. SFTP connection

答案:A


問題 #64
An energy company is creating an ML model to predict when there will be extra demand on the energy grid so preventative action can be taken to reduce usage leading up to the predicted event. The model is being monitored using OpenScale in Watson Studio.
Which action can be taken to ensure that they can identify when the model negatively affects certain locations based on the input data?

  • A. Obtain an understanding of the model predictions
  • B. Mitigate bias, including implicit bias, that humans may have
  • C. Ensure quality in the feedback data
  • D. Reduce drift in the model

答案:D


問題 #65
Which statement is true about Cloud Pak for Data as a Service?

  • A. All services are included with Cloud Pak for Data as a Service.
  • B. All services within Cloud Pak for Data as a Service are compliant with all regulations.
  • C. Cloud Pak for Data as a Service is not a fully managed service.
  • D. Cloud Pak for Data as a Service may include features that differ from customer-managed environments.

答案:D


問題 #66
Which statement describes quality in Al models?

  • A. A drop in quality does not cause any harm to the business decisions made.
  • B. The Al algorithm itself will compensate for the drop in quality of the data at runtime.
  • C. Quality of decisions in an Al model is not so significant for multi-classification models.
  • D. Small variations in quality may cause the wrong decision to be made.

答案:C


問題 #67
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