{"id":"cb_question_bank:0ea7fff8-ff71-4e5d-a2b2-4c295723ef62","source_id":"cb_question_bank","source_item_id":"0ea7fff8-ff71-4e5d-a2b2-4c295723ef62","external_id":"66c2a748-013a-438c-a079-b62142b6633d","ibn":null,"question_id":"16631d34","program":"SAT","module":"english","domain_code":"EOI","domain":"Expression of Ideas","skill_code":"SYN","skill":"Rhetorical Synthesis","difficulty":"H","score_band":7,"answer_type":"mcq","answer_source":"key","layout_warning":null,"form_id":null,"module_number":null,"position":null,"stem":"The student wants to explain a disadvantage of relying on audio features to predict a song’s popularity. Which choice most effectively uses relevant information from the notes to accomplish this goal?","stimulus":"While researching a topic, a student has taken the following notes: The Million Song Dataset (MSD) includes main audio features and descriptive tags for popular songs. Audio features include acoustic traits such as loudness and pitch intervals. Many algorithms use these audio features to predict a new song’s popularity. These algorithms may fail to accurately identify main audio features of a song with varying acoustic traits. Algorithms based on descriptive tags that describe fixed traits such as genre are more reliable predictors of song popularity.","stimulus_html":"<p>While researching a topic, a student has taken the following notes:</p>\n<ul>\n<li>The Million Song Dataset (MSD) includes main audio features and descriptive tags for popular songs.</li>\n<li>Audio features include acoustic traits such as loudness and pitch intervals.</li>\n<li>Many algorithms use these audio features to predict a new song’s popularity.</li>\n<li>These algorithms may fail to accurately identify main audio features of a song with varying acoustic traits.</li>\n<li>Algorithms based on descriptive tags that describe fixed traits such as genre are more reliable predictors of song popularity.</li>\n</ul>","stem_html":"<p>The student wants to explain a disadvantage of relying on audio features to predict a song’s popularity. Which choice most effectively uses relevant information from the notes to accomplish this goal?</p>","rationale_html":"<p>Choice B is the best answer. This choice uses relevant information from the notes to explain a disadvantage of relying on audio features to predict a song’s popularity—namely, that it may misidentify features of certain songs. It also contrasts audio features with descriptive tags, which are more reliable predictors. </p><p>Choice A is incorrect. This choice only states a fact about the algorithms without evaluating their reliability or accuracy. Choice C is incorrect. This choice only describes the difference between audio features and descriptive tags without indicating why this difference matters for predicting popularity. Choice D is incorrect. This choice only mentions descriptive tags, which are not the focus of the student’s rhetorical goal. </p>","correct_answer":["B"],"has_media":false,"has_mathml":false,"has_table":false,"source_created_at":"2023-08-02T20:25:59.372000+00:00","source_updated_at":"2023-08-02T20:25:59.372000+00:00","options":[{"label":"A","content_html":"<p>Many popularity-predicting algorithms are based on a song’s audio features, such as loudness and pitch intervals.</p>","ord":0},{"label":"B","content_html":"<p>Algorithms based on audio features may misidentify the main features of a song with varying acoustic traits, making such algorithms less reliable predictors of popularity than those based on fixed traits.</p>","ord":1},{"label":"C","content_html":"<p>Audio features describe acoustic traits such as pitch intervals, which may vary within a song, whereas descriptive tags describe fixed traits such as genre, which are reliable predictors of popularity.</p>","ord":2},{"label":"D","content_html":"<p>The MSD’s descriptive tags are reliable predictors of a song’s popularity, as the traits they describe are fixed.</p>","ord":3}],"attribution":{"source_id":"cb_question_bank","source_name":"College Board digital SAT question bank (community dump)","rights_holder":"College Board","canonical_url":"https://satsuitequestionbank.collegeboard.org/","retrieved_from":"https://raw.githubusercontent.com/mdn522/sat-question-bank/main/data/cb-digital-questions.json","attribution":"SAT practice questions © College Board, from the official SAT Suite Question Bank. Retrieved via the community dump at github.com/mdn522/sat-question-bank.","disclaimer":"SAT® and PSAT/NMSQT® are trademarks registered by the College Board, which is not affiliated with, does not sponsor, and does not endorse this project.","license":"College Board copyright; source repository carries no licence. Local use only.","redistributable":false,"item_count":2017}}