
Certified Artificial Intelligence Practitioner (CAIP)
Domain 2Objective 3
Objective 2.3 Work with Textual, Numerical, Audio, or Video Data Formats AIP-210 Practice Questions (Page 2)
Part of the 2.0 Engineering Features for Machine Learning domain, which accounts for 20% of the AIP-210 exam.
24questions here
5free pages
6concepts
20%of the exam
Questions 6–10
- 6
Which textual data format is best suited for storing a simple list of records where each record has the same fields, and the data is primarily used for tabular analysis?
Select an answer first - 7
A financial firm is training a fraud-detection model on transaction data. The features include transaction amount (a float), account age in days (an integer), and a one-hot encoded merchant category. The dataset has 50 million rows. The team wants to reduce memory usage during training. Which storage representation is most appropriate?
Select an answer first - 8
An ML engineer is building a bird-species classifier from field recordings. The raw audio is stored as 48 kHz WAV files. The team wants to train a CNN on spectrogram images. What is the most appropriate first step in the conversion pipeline?
Select an answer first - 9
A customer-support team has a large corpus of support tickets in plain text. They want to train a model to predict ticket priority. The ML engineer needs to convert the text into a numerical representation. Which approach is most appropriate?
Select an answer first - 10
A security company is building a model to detect shoplifting from surveillance video. The cameras record at 30 fps, 1080p, in H.264 MP4 format. The model needs to detect quick hand movements, which occur over 2-3 frames. The team has limited GPU memory and must process 24 hours of video per day. They are considering extracting frames at different rates. Which frame-extraction strategy is most appropriate?
Select an answer first
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