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PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification Exam Sample Questions (Q28-Q33):
NEW QUESTION # 28
Your team is looking to develop an RPA bot to help with back-office processes such as data entry. What type of bot should your team be creating?
- A. Unattended bot
- B. RPA is not the right solution to this problem
- C. Business Process Outsourcing
- D. Attended bot
Answer: A
Explanation:
In CPMAI's examination of AI patterns, Unattended bots are designed to run autonomously in back-office environments without human supervision, executing repetitive tasks like data entry at scale. This contrasts with Attended bots, which require a user to trigger or interact with them in real time.
Thought for 13 seconds
NEW QUESTION # 29
You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?
- A. Use noise reduction techniques to reduce all forms of data noise
- B. Implement a new data privacy policy
- C. Store the data in a data warehouse
- D. If this data is not needed, use Data anonymization techniques to remove it before feeding to models
Answer: D
Explanation:
Under CPMAI Phase III: Data Preparation, the Data Format task includes "Data anonymization" as a core activity to remove or mask PII when it is not required for modeling, thereby protecting privacy while retaining data utility.
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NEW QUESTION # 30
A project manager meets with a customer for initial discussions about an upcoming project. At the end of the meeting, the customer asks the project manager for a rough estimate of the project duration. Based on her experience with three similar projects, the project manager provides an estimate of 8-10 months.
What's wrong with this timeframe?
- A. It's underestimating the project timeline by 3 months
- B. It's not accounting for data preparation timelines
- C. It's not accounting for potential project delays
- D. It fits into a waterfall timeframe, but not an agile project timeframe
Answer: B
Explanation:
CPMAI's Phase III: Data Preparation is a distinct phase that encompasses data cleansing, augmentation, labeling, and pipeline construction. Because data engineering often accounts for the majority of AI project effort, omitting this phase from initial estimates leads to significant timeline underestimation. Project timelines must explicitly include Phase III activities to be realistic .
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NEW QUESTION # 31
Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model.
What critical error did your team make?
- A. They did not practice model iteration and properly iterate on the model
- B. They did not have data governance in place
- C. They did not have a model retraining pipeline that took into account models
- D. They did not practice model versioning and keep all versions of the model
Answer: D
Explanation:
In Phase VI: Model Operationalization of the CPMAI v7 methodology, project teams must explicitly plan for "model versioning and iteration" as part of deploying and maintaining models in production. Overwriting the original model without preserving its prior version prevents rollback and comparison, which is a core requirement for robust AI operations.
The Workbook states that operationalization considerations include "model versioning and iteration" to ensure that previous model artifacts are retained and that updates can be managed safely.
Additionally, under Edge Model Data Needs, teams are instructed to "Determine methods for model versioning and update" to support proper tracking and governance of model changes across iterations.
NEW QUESTION # 32
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?
- A. Phase VI
- B. Phase V
- C. Phase I
- D. Phase IV
- E. Phase II
- F. Phase III
Answer: D
Explanation:
Phase IV: Model Development is explicitly where "Model Training / Model Building" occurs. This phase includes tasks for selecting modeling techniques, conducting hyperparameter optimization, and executing the actual training runs on the prepared datasets.
NEW QUESTION # 33
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