Actual CPMAI_v7 Test Pdf | CPMAI_v7 Exams
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PMI CPMAI_v7 Exam Syllabus Topics:
Topic
Details
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Topic 3
PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification Exam Sample Questions (Q31-Q36):
NEW QUESTION # 31
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?
Answer: C
Explanation:
A spam filter must decide between exactly two categories-spam or not spam-making it a binary (or binomial) classification task. The CPMAI Glossary defines binary classification as "a classification task where data is categorized into one of two classes (e.g., spam vs. not spam)."
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NEW QUESTION # 32
You have been receiving customer data for the past six months. However recently you notice that this data has drastically changed due to the upcoming holiday season.
What seems to be taking place?
Answer: B
Explanation:
A sudden shift in the incoming data distribution-such as seasonal changes in customer behavior-is known as data drift. CPMAI defines model drift as "degradation in a model's performance over time as the underlying data distribution changes," implying that the root cause is the data itself shifting. Recognizing data drift is the first step in adapting both data pipelines and models to maintain performance .
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NEW QUESTION # 33
An inexperienced team is training a neural network model on a desktop computer and this is taking a significant amount of time. What would you recommend to them to speed up model training?
Answer: D
Explanation:
Training deep neural networks on CPUs is very slow. CPMAI's Glossary highlights that tensor processing units (TPUs) and GPUs are specialized hardware accelerators explicitly recommended to "accelerate the training and inference of machine learning models" by parallelizing the heavy matrix operations in neural- network layers. Switching from desktop CPU training to GPU-based training can reduce training time by orders of magnitude.
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NEW QUESTION # 34
You're creating an AI-enabled chatbot that is going to access user data. What areas related to data governance do you need to make sure you're addressing? (Select all that apply.)
Answer: B,C,D,G
Explanation:
Domain IV: Data for AI - Task 2: Implementing Data Governance and Management mandates establishing data stewardship, management plans, lineage, and master-data practices. Core governance concerns include how data is shared (A), ensuring user privacy (B), guarding against breaches (E), and maintaining high data quality (F). Quantity or change-management issues are operational rather than governance controls.
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NEW QUESTION # 35
Your team has been asked to summarize and highlight patterns in historical purchasing data, identifying prior performance metrics and patterns. What type of analytics is most appropriate to apply for this need?
Answer: B
Explanation:
Descriptive analytics focuses on summarizing and reporting on past data-exactly what's needed to highlight historical purchasing patterns and performance metrics. The CPMAI Glossary defines analytics as "the use of statistical and computational methods to extract meaningful insights from data (related: predictive, descriptive, ...)" where descriptive analytics provides the retrospective view.
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NEW QUESTION # 36
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