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IBM P2020-795 Exam Actual Questions

The questions for P2020-795 were last updated on Nov. 27, 2024.
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  • Viewing questions 1-4 out of 44 questions
 

Topic 1 - Single Topic

Question #1 Topic 1

A customer is looking for a solution to determine the best staff levels at their service centers while considering variability in arrival rates of service tickets and duration to resolve them. Which IBM offering will the technical seller propose to the customer?

  • A. CPLEX Optimization Studio
  • B. SPSS Modeler
  • C. Decision Optimization Center with Uncertainty Toolkit
  • D. DOcloud
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Correct Answer: C 🗳️
Optimization and decision-making under uncertainty involves other challenges, such as large numbers of scenarios and complex mathematical models.
The IBM Research Uncertainty Toolkit was developed to help businesses resolve all of those challenges. The toolkit is a suite of user-friendly tools for optimization under uncertainty, which allow one to analyze the tradeoff between robustness and cost-effectiveness of a planning decision, and to create, evaluate and select alternative solutions, including solutions hedged against uncertainty through robust and stochastic optimization.
References:
https://www.research.ibm.com/labs/ireland/research_areas/uncertainty.html

Question #2 Topic 1

While the components of a product demonstration will vary depending upon the requirements of the prospective customer, a best practice for all successful product demonstrations is to:

  • A. Cover as many features as possible in order to impress the prospect.
  • B. Lead with a description of the product architecture.
  • C. Start by describing all input data before showing the solution.
  • D. Focus on 2-5 key features and summarize their benefits.
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Correct Answer: D 🗳️

Question #3 Topic 1

A customer is interested in deploying an optimization solution with IBM Decision Optimization CPLEX Deployment Edition. What should the technical seller inquire about that would allow the IBM team to come up with a sizing recommendation?

  • A. The number of business users that will be using the optimization application.
  • B. The number of concurrent optimization requests that are expected to reach CPLEX at any given time.
  • C. The amount of time it takes for CPLEX to solve a single optimization request.
  • D. The number of variables and constraints in the optimization problem.
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Correct Answer: D 🗳️
When you solve locally with CPLEX Studio Community Edition (CE), your problem size is limited to 1000 variables and 1000 constraints.
References:
https://developer.ibm.com/docloud/documentation/optimization-modeling/cplex-studio-ce/

Question #4 Topic 1

How do Operations Researchers benefit from the OPL modeling capabilities offered by IBM CPLEX Optimization Studio?

  • A. Improve model performance.
  • B. Process big data.
  • C. Develop models very rapidly.
  • D. Reduce memory footprint.
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Correct Answer: C 🗳️
Use Optimization Programming Language (OPL), an IBM transparent modeling language, to specify the targets, limits and choices related to your business problem.
References:
http://www-03.ibm.com/software/products/en/decision-optimization-center

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