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It explains assessment structure through a computer-scored exam (multiple-choice item types) and a predictive analytics project requiring data exploration, GLM model construction and refinement, diagnostics interpretation, model recommendation, and communication to technical and non-technical audiences. It also defines cognitive levels, scoring rules, pilot question handling, and the project and exam formats within the ACAS pathway.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":20,"@type":76,"position":81},"https://docshare.wps.com/document/exam/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/exam-content-outline-property-and-casualty-predictive-analytics-pcpa/399122/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/exam-content-outline-property-and-casualty-predictive-analytics-pcpa/399122.png","ImageObject",300,407,{"name":92,"@type":93},"anakgang17","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-09","2026-09-27",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What two components make up the PCPA assessment?","Question",{"text":112,"@type":113},"The PCPA includes a computer-scored exam and a predictive analytics project. The project involves data exploration, model building and refinement, interpretation of results, and submitting a technical summary aligned to a business question.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which exam item types may candidates encounter?",{"text":117,"@type":113},"Candidates may encounter multiple choice, multiple selection, matching, and fill in the blank. These item types measure different knowledge and skills across the exam.",{"name":119,"@type":110,"acceptedAnswer":120},"How is the project work evaluated and what must be submitted?",{"text":121,"@type":113},"Candidates respond to tasks involving identifying, building, and improving a GLM model, interpreting diagnostics, recommending a model, and communicating model characteristics. 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These requirements will be part of the ACAS pathway and have candidates demonstrate a foundational level of expertise in predictive analytics through:  \n- Passing a computer-scored exam designed to measure a sample of knowledge and skills.  \n- Passing a predictive analytics project that includes data exploration, model construction and refinement, interpretation of results, and submission of a technical summary of these project activities in response to a business question.  \nThe goal of the content outline is to provide an understanding of the candidate expectations and how their performance will be evaluated.  \nCAS recognizes that modern actuaries use a variety of software and programming languages to conduct analyses including predictive analytics. The references included in this list were selected because the content is relevant to the knowledge and skills assessed on the PCPA exam, not to communicate a preferred or recommended programming language that maybe used in the examples. The CAS has developed the PCPA exam and project to be applicable to predictive analytics practice in property and casualty insurance. Candidates should review the domains and tasks in the Content Outline to best understand what is covered in the PCPA.  \nExam Item Types  \nCandidates may see the following item types in the CAS examinations. Candidates should become familiar with these item types, and sample questions will be available in 2024.  \nMultiple Choice  \nMultiple answer choices are presented after a problem with only one correct answer.  \nMultiple Selection  \nMultiple answer choices are presented after a problem with more than one correct answer.  \nMatching  \nContent columns presented after a problem where the candidate must correctly match content from one column to another.  \nFill in the Blank  \nA blank section is presented after a problem where the candidate must input the correct value.  \nProject Performance Tasks  \nCandidates will be provided with a business problem and data to respond to a series of tasks that include identifying, building, and improving a GLM model, interpreting diagnostics, recommending a model, and communicating characteristics of the model to technical and non-technical audiences. The deliverable for the PCPA project will include submitting technical characteristics from the project, a summary report, and responses to a series of questions about the documents upon submission.  \nCognitive Level  \nEach task is tied to a certain type of mental operation or thinking skill, which is called the cognitive level. ACAS and FCAS use four cognitive levels, and every examination item is authored to address both the task and one of the following cognitive levels paired with that task.  \nRemember: 5-10%  \nTests the ability of the candidate to recall or remember knowledge or facts.  \nUnderstand and Apply: 55-60%  \nMeasures the candidate’s ability to understand and apply ideas and concepts to new situations.  \nAnalyze and Evaluate: 35-40%  \nRequires the candidate to analyze information, combine concepts/ideas, and justify a position resulting from that combination.  \nCreate: 0-5%  \nRequires the candidate to synthesize conclusions by evaluating the validity of ideas and concepts.  \nExam Format Details  \nThe PCPA exam is a two-hour exam that consists of 40 multiple-choice questions and is administered asa computer-based test (CBT) . For additional details, please refer to the Syllabus of Basic Education’s registration and administration information.  \nCandidates take this exam after Exams MAS-I, MAS-II, and 5 within the ACAS credentialing pathway, and therefore it is assumed that they have foundational knowledge of predictive analytics concepts and applications. This exam is a p","cbCaiom9fD4DyuZa","https://ap.wps.com/l/cbCaiom9fD4DyuZa","pdf",257907,"English","# Overview\n# Exam Item Types\n# Project Performance Tasks\n# Cognitive Level\n# Exam Format Details\n# Project Format Details","[{\"question\":\"What two components make up the PCPA assessment?\",\"answer\":\"The PCPA includes a computer-scored exam and a predictive analytics project. The project involves data exploration, model building and refinement, interpretation of results, and submitting a technical summary aligned to a business question.\"},{\"question\":\"Which exam item types may candidates encounter?\",\"answer\":\"Candidates may encounter multiple choice, multiple selection, matching, and fill in the blank. These item types measure different knowledge and skills across the exam.\"},{\"question\":\"How is the project work evaluated and what must be submitted?\",\"answer\":\"Candidates respond to tasks involving identifying, building, and improving a GLM model, interpreting diagnostics, recommending a model, and communicating model characteristics. Deliverables include technical characteristics, a summary report, and responses to questions upon submission.\"}]","Exam Content Outline - Property and Casualty Predictive Analytics (PCPA) | PDF",1790493245,25]