After taking all of the exam divisions for ARE 50 and reflecting back on the material that I used to pass them I realized that very few of the practice problems and practice exams that I practiced with felt like the actual exam.
With growing demand for some good practice problems I have taken it upon myself to deliver practice questions that would rival those that you would find on the Programming & Analysis Exam without violating the terms of the confidentiality agreement that testers are required to sign.
This exam will test you in all of the exam areas described in the NCARB handbook, as well as some areas outside of the handbook designed to help you understand the content for this exam. The questions have been written so that they apply to real life scenarios to promote the understanding and application of the exam content as these exams are not simply a 'What is this?' or 'What is that?' type of exam because that is not what you will find when you take the exam.
The other standout about Walking the ARE is that the answers give a better explanation of why they are correct, or incorrect. Some questions might also explain why an answer this time might be correct but could be different if the question was worded just slightly differently than it is.
The goal of this exam is to test your knowledge of the exam content required for the Programming & Analysis Exam. It will give you questions in all exam formats, single guess, multiple guess, fill in the blank, drag and drop, as well as the hot spot marker. This exam will also help you to focus on the questions themselves knowing which pieces of information given are useful, and which pieces of information given are irrelevant.
What you get with this exam:
95 Exam Questions with the following breakdown:
15 - Drag and Place
15 - Fill in the blank
25 - Single guess
25 - Multiple guess
15 - Hotspot marker
Here is how the Exam Divisions Break down on this exam:
Environmental & Contextual Conditions (15%)
Codes & Regulations (19%)
Site Analysis and Programming (24%)
Building Analysis & Programming (42%)
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