A media company is building a model to detect violent scenes in movies. The training data consists of 10,000 MP4 files at 30 fps, 1080p. The team has limited GPU memory and needs to train on individual frames. What is the most efficient preprocessing approach?

Use the MP4 files directly as input to the CNN without any frame extraction

Extract every frame from each video and store them as individual PNG files

Decode the MP4 and sample one frame every 5 frames, storing the selected frames as JPEG in a TFRecord/WebDataset format

Convert all MP4 files to AVI to simplify decoding

A medical-device company is developing a model to detect heart murmurs from phonocardiogram (PCG) recordings. The recordings are stored as 16-bit PCM WAV at 8 kHz. The model will be deployed on a wearable device with 64 MB of flash storage. The team has 10,000 recordings averaging 30 seconds each. They need to reduce storage to fit the model and data on the device, but the model requires the full frequency range up to 4 kHz. Which approach is most appropriate?

Downsample to 4 kHz and convert to 8-bit PCM WAV

Convert the WAV files to MP3 at 64 kbps

Compute a compact feature representation (e.g., MFCCs) from the WAV files and store only the features

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Domain 2Objective 3

Objective 2.3 Work with Textual, Numerical, Audio, or Video Data Formats AIP-210 Practice Questions (Page 1)

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 1–5

1application · medium
A media company is building a model to detect violent scenes in movies. The training data consists of 10,000 MP4 files at 30 fps, 1080p. The team has limited GPU memory and needs to train on individual frames. What is the most efficient preprocessing approach?
Select an answer first
2foundation · easy
Which numerical data type is used to represent whole numbers without a fractional component, and is commonly used for counts or categorical labels encoded as integers?
Select an answer first
3foundation · easy
Which video file format is widely used for streaming and is known for its efficient compression and compatibility with most devices and platforms?
Select an answer first
4expert · hard
A medical-device company is developing a model to detect heart murmurs from phonocardiogram (PCG) recordings. The recordings are stored as 16-bit PCM WAV at 8 kHz. The model will be deployed on a wearable device with 64 MB of flash storage. The team has 10,000 recordings averaging 30 seconds each. They need to reduce storage to fit the model and data on the device, but the model requires the full frequency range up to 4 kHz. Which approach is most appropriate?
Select an answer first
5foundation · easy
Which textual data format is most commonly used for storing tabular data with a hierarchical structure that is both human-readable and widely supported by machine learning libraries?
Select an answer first

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Objective 2.3 Work with Textual, Numerical, Audio, or Video Data Formats AIP-210 Practice Questions (Page 1)

Questions 1–5

A media company is building a model to detect violent scenes in movies. The training data consists of 10,000 MP4 files at 30 fps, 1080p. The team has limited GPU memory and needs to train on individual frames. What is the most efficient preprocessing approach?

Which numerical data type is used to represent whole numbers without a fractional component, and is commonly used for counts or categorical labels encoded as integers?

Which video file format is widely used for streaming and is known for its efficient compression and compatibility with most devices and platforms?

Which textual data format is most commonly used for storing tabular data with a hierarchical structure that is both human-readable and widely supported by machine learning libraries?

Keep studying — 2.0 Engineering Features for Machine Learning