![]() Although these questions are quite tough, you can easily clear this exam with the answers we have provided in this post. Lesson 1 is Organize your Analytics account, Lesson 2 is Set up advanced filters on views, Lesson 3 is Create your own Custom Dimensions, Lesson 4 is Create your own Custom Metrics, Lesson 5 is Understand user behavior with Event Tracking and Lesson 6 is More useful configurations. These are advanced topics and the questions in the second assessment are based on the following lessons. You get a total of 12 questions in the second Assessment on the topics you learned in the second unit of this course. Q.12 – If a user watches a video with event tracking three times in a single session, how many Unique Events will be counted?Ībout Advanced Google Analytics Assessment 2 (B) Category, Action, Label, Unique Events (A) Category, Action, Label, Total Events For others, you need to input the characters here: Filter Type: Custom filter > Advanced. For some fields, you need to select an item from the dropdown menu. Q.11 – What four parameters can be included with an event hit for reporting? Follow this example to set up a view filter that displays domain names in your reports when you have cross-domain tracking set up. Q.10 – Custom Metrics can have which scopes? (Select all answers that apply) Q.9 – To collect the number of comments users posted to a website page, what feature would be used? (B) Data collected after the Custom Dimension was applied (A) Data collected before the Custom Dimension was applied Q.8 – When a Custom Dimension is active, which data will it affect? (C) As primary dimensions in Custom Reports (B) As secondary dimensions in Standard reports (A) As primary dimensions in Standard reports Q.7 – Custom Dimensions can be used in which reports? (Select all answers that apply) Q.6 – To create a Custom Dimension for membership status (i.e., rewards level), what scope would be applied? Study with Quizlet and memorize flashcards containing terms like To collect data from two websites with different URLs using a single Google Analytics property, what feature must be set up, Filters may be applied retroactively to any data that has already been processed., To see data for users from the U.S. Q.5 – To pair metrics with dimensions, what should they have in common? Q.4 – To view data in reports by user categories such as Bronze, Gold, and Platinum status levels, what Google Analytics feature is needed to collect this data? (B) Filter 1: include Canada > Filter 2: include U.S. and Canada only in a view, which filter would be applied? Q.3 – To see data for users from the U.S. Q.2 – Filters may be applied retroactively to any data that has already been processed. (data): futures with (maxworkers8) as executor: for i in data: futures. If you are not scraping too security oriented website against. Q.1 – To collect data from two websites with different URLs using a single Google Analytics property, what feature must be set up? Devide the list of sites for e.g in ten TC that are going to use same code, just method names will be different (method1. ![]() Basically, if I get just one part (getting either level2 or level3 ids) from it, I can figure out the rest.Advanced Google Analytics Assessment 2 Answers (Updated 2021) Further, from level2 ids, I need level3 ids. As I mentioned before, I need to get level2 ids from the level1 ids given as input. Pattern=re.compile(r'''some(.*?)pattern''')Ĭol_width = max(len(word) for row in data for word in row)īut this is taking all the ids at once into the URL. ![]() Id = '\n'.join(listofdata) #to skip header But there will be only one corresponding Level3 ID for each Level2 ID.ĬODE that I've written so far: import pandas as pdĭata = pd.read_csv('file.csv', names=colnames) There can be multiple Level2 IDs for each Level1 ID. I want to write all these into a CSV file.īasically, I want my output to be something like this Level1 ID1 Level2 ID1 Level3 ID I'd like to go to all these URLs to get more IDs from the following page. I input the search terms from a csv file, get a few IDs (with URLs) from each page. I do not understand how I can go to all the URLs and get data (which is similar in all the URLs, but not the same) from them. I need to parse each one of them to get some data out of them.
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