AP CSP Data Unit QUESTIONS WITH COMPLETE 100% VERIFIED SOLUTIONS 2024/2025, Exams of Computer Networks

Download AP CSP Data Unit QUESTIONS WITH COMPLETE 100% VERIFIED SOLUTIONS 2024/2025 and more Exams Computer Networks in PDF only on Docsity! AP CSP Data Unit QUESTIONS WITH COMPLETE 100% VERIFIED SOLUTIONS 2024/2025 Metadata data about data Can be descriptive data about an image, a Web page, or other objects Can increase the effective use of data or data sets by providing additional info about various aspects of that data Software tools (spreadsheets & databases) help to efficiently organize & find trends in info Info filtering systems are important tools for finding info & recognizing patterns Fusion Tables web service provided by Google for data management Can be used for gathering, visualising & sharing data tables Data stored in many tables that Internet users can view/download queries a request for info from a database 3 general methods for posing queries: choosing parameters from a menu, query by example & query language computing tools facilitate the discovery of connections in info in large data sets Explain the insight & knowledge gained from digitally processed data by using appropriate visualizations, notations, & precise language Visualization tools & software can communicate info about data Tables, diagrams, & textual displays Summaries of data analyzed computationally can be effective in communicating insight & knowledge gained from digitally represented info Transforming info is effective in communicating knowledge gained from data Interactivity with data is an aspect of communicating Computing facilitates exploration & the discovery of connections in info ow large data sets impact the use of computational processes to find info & knowledge Large data sets include data such as transactions, measurements, texts, sounds, images, & videos The storing, processing, & curating of large data sets is challenging Structuring large datasets for analysis can be challenging Maintaining privacy of large data sets containing personal information can be challenging Scalability of systems is an important consideration when data sets are large The size or scale of a system that stores data affects how that data set is used The effective use of large data sets requires computational solutions Analytical techniques to store, manage, transmit, & process data sets change as the size of datasets scale Secure transmission concerns It is relatively easy to eavesdrop on video/audio conversations, or intercept & modify data packets Anyone with a PC & access to the public network has the ability to capture network traffic, potentially compromising the privacy & the reliability of the apps Hence, it is mandatory for wireless applications to guarantee authentication, confidentiality & integrity of data Lossy data compression Compression scheme in which "useless" or less-than-totally-necessary information is thrown out in order to reduce the size of the data Eliminated data is unrecoverable Lossless data compression Compression scheme in which every bite of the original data can be recovered from the compressed file