- [Data for AI]
You??re running an image recognition project and realize that you do not have enough data of a certain type of vehicle. What is the best course of action to get the additional labeled data you need?
Correct Answer:
B
In CPMAI™ v7??s Phase III: Data Preparation, teams are instructed to construct the final modeling dataset through a variety of enhancement activities—including data augmentation, which specifically covers transforming existing records or generating entirely new records to increase volume and variety. This ??augmentation?? is described as ??constructive data preparation operations such as the production of derived attributes or entire new records, or transformed values for existing attributes?? .
Moreover, under the Training & Test Data Requirements task, the Workbook explicitly asks project teams to determine ??What transformation or multiplication activities can be done to increase training data volume while maintaining quality?? . Performing data transformation (e.g., image rotations, color jitter, cropping) and multiplication (synthetic record generation) directly addresses the lack of labeled samples without incurring the cost or delay of third-party purchases, making option B the correct approach.
- [Managing AI]
You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?
Correct Answer:
B
Model iteration requires regularly updating a deployed model with new data and configuration. The CPMAI Workbook??s Task: Fine-Tuning / Re-training of Pre-Trained Models prescribes defining and documenting re- training pipelines as part of the model-building lifecycle to ensure seamless iteration and ongoing performance improvements.
You have been tasked at your organization to manage a large language model (LLM) project. Identify what LLMs are useful for. (Select all that apply.)
Correct Answer:
BCDEF
Large language models (LLMs) excel at generating, understanding, and manipulating text. According to the CPMAI Glossary:
Content summarization is a core NLP function: "the process of using AI/ML techniques to generate a concise overview of a larger body of text."
Machine translation: "the use of AI to automatically translate text or speech from one language to another."
Classification: LLMs can assign content to categories via fine-tuned classification heads (??classifier?? term), making them suitable for content categorization.
Code generation: As generative AI, LLMs can produce new content, including code snippets, by pattern learning from programming corpora ("generative AI" term).
Search quality improvement: LLMs can rephrase queries, expand keywords, and rank results to enhance search relevance. Though not explicitly detailed in the glossary, this capability derives directly from their generative and understanding strengths.
LLMs are not designed for pure process automation (option A), which is handled by RPA or orchestrators rather than by text-centric models.
Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved.
Correct Answer:
A
CPMAI defines a Data Scientist as the role responsible for ??formulating data-driven hypotheses, selecting and applying statistical algorithms, interpreting model results, and communicating insights to stakeholders,?? all of which require critical thinking under uncertainty, advanced mathematics, and strong data-visualization skills .
You are working for a large multinational organization and have been assigned to a new project. For your new ML project you need to make sure you're managing data privacy and security as you're working with sensitive customer data.
What critical security issues do you need to make sure you address (Select all that apply.):
Correct Answer:
ABCD
