Writing Classes in AP Computer Science A

Sound recordings and audio files.

High-resolution images and graphics.

Video clips and movie files.

Text characters like letters and punctuation marks.

Preferring symmetric-key over asymmetric-key cryptography regardless of context.

Use complex but untested proprietary encryption techniques developed in-house.

Implementation of proven secure encryption standards like AES or RSA.

Selecting the fastest encryption method available to improve performance.

Blockchain technology inherently makes digital assets more vulnerable to hacking, diminishing user's command over them.

While blockchains distribute asset management and spread fiscal risks for investors, they eliminate traditional oversight.

Increased consumer control is possible due to the distributed nature, reducing dependence on central authorities.

Decentralized applications offer greater transparency, therefore, irrelevant to autonomy in corporate governance factors.

Implementing such algorithms eases computational load but may raise concerns only related to users' familiarity with technology interfaces.

Balancing censorship with freedom of speech while managing resource-intensive processes for real-time analysis is challenging.

Machine learning simplifies content moderation by fully automating decisions without any ethical dilemmas or increased complexity.

The primary concern is cost-effectiveness rather than computational complexity or nuanced ethical implications in content filtering.

Simple algorithms are always faster than complex ones in execution time.

Complex algorithms always consume more energy than simple ones.

Less efficient algorithms do not require any form of error checking or testing.

It could be too difficult to understand and maintain by other programmers.

There may be biased outcomes due to uneven training data sets, along with high computational demands for accurate results.

Algorithm optimization improves consistency across different populations without increasing demand on computational resources significantly.

Optimizing such algorithms exclusively enhances speed without affecting fairness or requiring additional computing resources.

Focusing on resource allocation issues neglects any possibility of bias in the algorithm’s design or its societal implications.

The angle of view needed to capture the entire image without distortion.

The number of colors that can be represented.

How quickly the image can be transmitted over the internet.

The physical size of pixels on an image sensor.

Excessive reliance on inheriting could unintentionally impose restrictions under copyright laws hindering free sharing among developers community-wide.

Relying excessively on inheritance might unnecessarily complicate licensing agreements when distributing derived works commercially.

Heavy use of inheritance may create tightly coupled systems that become brittle against changes potentially leading to costly redevelopment efforts.

Using too much inheritance could lead developers into legal issues due to violating the Liskov Substitution Principle unknowingly during extension efforts.

Ensuring user interfaces support multiple languages.

Designing algorithms that preferentially treat certain data types.

Adding restrictions based on geographic location.

Creating extra features only available for premium users.

It improves code readability by breaking down complex tasks into smaller, manageable sections.

It allows for multiple programs to run concurrently without any additional synchronization.

It removes the need for data structures, simplifying data management within the program.

It significantly increases the execution speed of the program regardless of task complexity.