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IBM업계에 종사하시는 분들은 C1000-136인증시험을 통한 자격증취득의 중요성을 알고 계실것입니다. ExamPassdump에서 제공해드리는 인증시험대비 고품질 덤프자료는 제일 착한 가격으로 여러분께 다가갑니다. ExamPassdump덤프는 C1000-136인증시험에 대비하여 제작된것으로서 높은 적중율을 자랑하고 있습니다.덤프를 구입하시면 일년무료 업데이트서비스, 시험불합격시 덤프비용환불 등 퍼펙트한 서비스도 받을수 있습니다.

IBM C1000-136 시험요강:

주제	소개
주제 1	Develop a strategy to monitor the Data and AI platform Map business opportunities into a data governance use case
주제 2	Identify and explain how to build and deploy ML AI algorithms in Cloud Pak for data Integrating Business Applications using Cloud Pak for Data
주제 3	Describe the key considerations when selecting a platform for model deployment Understand Cloud Pak for Data reliability options
주제 4	Accelerate the solution using Industry Accelerators and External Data sets Understand the underlying infrastructure and installation
주제 5	Develop an appropriate process to take a Data and AI solution from inception to production Leverage the platform to understand data flow and usage
주제 6	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
주제 7	Describe the capabilities of business intelligence in Cloud Pak for Data Understand sizing and deployment options
주제 8	Map business opportunities into a Data Science use case Monitor machine learning models running on an external platform
주제 9	Describe the capabilities of a data fabric topology Understand Cloud Pak for Data reference architecture
주제 10	Explain the use of Guardium in auditing and monitoring data Understand how workflow is used in Cloud Pak for Data

>> C1000-136최신 업데이트버전 덤프문제 <<

IBM C1000-136인기공부자료 & C1000-136시험대비 덤프 최신버전

ExamPassdump에서 출시한 IBM인증C1000-136 덤프는 시험문제점유율이 가장 높은 시험대비자료입니다. 실제IBM인증C1000-136시험문제유형과 같은 형식으로 제작된IBM인증C1000-136 시험공부자료로서ExamPassdump덤프의 실용가치를 자랑하고 있습니다.덤프를 공부하여 시험불합격하시면 덤프비용은 환불처리해드립니다.

최신 IBM Certification C1000-136 무료샘플문제 (Q38-Q43):

질문 # 38
Which statement describes quality in Al models?

• A. Small variations in quality may cause the wrong decision to be 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. A drop in quality does not cause any harm to the business decisions made.

정답：C
질문 # 39
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. Mitigate bias, including implicit bias, that humans may have
• B. Obtain an understanding of the model predictions
• C. Reduce drift in the model
• D. Ensure quality in the feedback data

정답：C
질문 # 40
Select all that apply
What is the correct sequence of steps to create a machine learning model?
정답： 설명：

질문 # 41
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.

정답：D
질문 # 42
Which is required to connect a Cloud Pak for Data analytics project to an external Git repository?

• A. Encryption bearer token
• B. Personal access token
• C. SSL certificate
• D. Self-signed certificate

정답：B 설명：
Explanation
An analytics project requires a personal access token to connect to an external Git repository.
질문 # 43
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