CPMAI_v7試験無料問題集（102題）「PMI Cognitive Project Management in AI CPMAI v7

出題：1

Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project.
What type of algorithm would you select for this problem?

A. Clustering

B. Binary (or Binomial) Classification

C. Regression

D. Multiclass Classification

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

Your team is planning an AI-enabled chatbot project to help reduce call center load. They are currently determining if the project can get off the ground and working through the AI Go/No Go feasibility questions.
What stage of CPMAI is the team currently working on?

A. Phase VI

B. Phase IV

C. Phase III

D. Phase I

E. Phase II

F. Phase V

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?

A. Governed AI

B. Ethical AI

C. Transparent AI

D. Explainable AI

E. Responsible AI

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

Clean, well-labeled datasets used for machine learning are partitioned into three subsets: Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?

A. Split by patterned subsampling

B. Split by alphabetical order

C. Use the same data for all sets

D. Split by random subsampling

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

Upper management is looking to roll out a new product and wants to see if there are any patterns and insights that can be discovered from customer data. Your team has been tasked to discover these potential patterns and structures within this data.
Which type of machine learning approach would be most appropriate to pick for this problem?

A. Supervised Learning

B. All would work equally well

C. Unsupervised Learning

D. Reinforcement Learning

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：6

When building your model you need to make sure you're not only checking for performance and making sure the model is giving the expected results. You also need to make sure the model is accomplishing the business objective.
At what phase of CPMAI is this most appropriate to do this?

A. Phase VI

B. Phase IV

C. Phase III

D. Phase I

E. Phase II

F. Phase V

正解：F 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：7

The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive.
To keep your organization competitive, you need to:

A. Make sure everyone on the team has an understanding of data, its connections to the organization, and how to extract value from big data to unleash it for competitive advantage.

B. Make sure senior management has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.

C. Make sure all senior leadership is data literate, understands the V's of big data, data's connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.

D. Make sure the technical team has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：8

Your team is tasked with selecting an algorithm for a supervised learning classification project. Which algorithm might you choose?

A. Gaussian mixture

B. K-means

C. Q learning

D. K-nearest neighbor

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：9

Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project.
What is the best course of action to take with this data?

A. Data Deduping to reduce overall size and data complexity.

B. Careful algorithm selection that reduces the need for data.

C. Data integration focused on reducing the number of data sources.

D. Data selection and attribute pruning to reduce overall size and data complexity.

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：10

Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

A. Real-time prediction

B. Batch prediction

C. Stream learning

D. Web service / Microservice

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

CPMAI_v7試験無料問題集「PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification 認定」