Free CPMAI Pmi CPMAI Practice Test Question

Question 1 (Topic 1)

Enhancing and cleaning data is an important action during which phase of CPMAI?

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○ Phase VI
○ Phase I
○ Phase V
○ Phase III
○ Phase II
○ Phase IV

Reference / correct answer:

Phase III

Most accepted answer: D. Phase III

Community votes: C=2, D=3

Selected Answer: C phase III data preparation upvoted 1 times

Selected Answer: D phase 3 - Data Cleaning: Removing duplicates, handling missing values, correcting errors, and standardizing formats. upvoted 1 times

Selected Answer: D In the CPMAI™ (Cognitive Project Management for AI) framework, enhancing and cleaning data typically occurs during Phase 3: Data Preparation and Exploration. This phase is crucial for ensuring that the data used in AI and machine learning projects is accurate, relevant, and ready for modeling. Here’s what usually happens in this phase: Data Cleaning: Removing duplicates, handling missing values, correcting errors, and standardizing formats. Data Enhancement: Enriching datasets with additional sources, performing feature engineering, and transforming variables to improve model performance. Exploratory Data Analysis (EDA): Visualizing and summarizing data to uncover patterns, trends, and anomalies. Data Validation: Ensuring the data aligns with business goals and project requirements. 🧠 This phase sets the foundation for successful model development and is often considered one of the most time-consuming yet impactful stages in AI project management. upvoted 1 times

Selected Answer: D Phase III is Data Preparation. Suppose Data cleaning is here. Phase 1 is Business requirement only upvoted 1 times

Selected Answer: C Phase III is Data Preparation. Suppose Data cleaning is here. Phase 1 is Business requirement only upvoted 1 times

Question 2 (Topic 1)

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:

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

Question 3 (Topic 1)

Your team is working on an image recognition project, have collected the appropriate data for the project, and have picked a neural network algorithm. They are now ready to train their model. In which phase of CPMAI is this done?

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○ Phase I
○ Phase II
○ Phase III
○ Phase IV
○ Phase V
○ Phase VI

Free CPMAI – Pmi CPMAI Practice Test Question