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NEW QUESTION: 1
You are developing a web application in HTML.
You have the following HTML code.
You need to ensure that the div footer contains the text "All rights reserved".
Which line of code should you use?
A. document("footer") = "All rights reserved";
B. $(".footer").value = "All rights reserved";
C. $("#footer").html("All rights reserved");
D. document("footer").innerHTML = "All rights reserved";
Answer: D
Explanation:
Explanation
https://www.codecademy.com/en/forum_questions/557ea03cd3292f72d10006bf
NEW QUESTION: 2
DRAG DROP
Answer:
Explanation:
Explanation:
NEW QUESTION: 3
What are some advantages of a statistical attribution model versus a rules-based attribution model?
Choose only ONE best answer.
A. Credits one touchpoint according to a specific rule.
B. Use algorithms to determine credit for each touchpoint in the user flow.
C. You select where along the path you want to assign credit for the conversion.
D. Are cookie based model that is more effective in measuring your marketing campaigns.
Answer: B
Explanation:
Explanation
Rules-based models assign credit to one or more touchpoints according to rules that we set. Think of these models as different lensthrough which you can analyze results. For example, giving credit to the first and last touchpoints (impressions and clicks) leading to a conversion. Rules-based models using people-based measurement provide deeper insights than cookies-only measurement, since multiple touchpoints are tracked and correlated with an actual person.
With rules-based models:
* You define "the rule": How should credit be allocated?
* Results are based on your model choice.
* You choose where along the path to conversion you want to assign the credit: last click, even credit, time decay, or positional.
Statistical models use algorithms to determine credit for each touchpoint. These models are driven on a result (increased revenue) rather than an assumption of where to assign credit. They use all available data to determine which ads increase revenue. Like rules-based models, statistical models are far more effective at analyzing past results and predicting future results when using a people-based measurement tool.
With statistical models:
* Algorithms define the credit allocation.
* Results are dynamic and learn from historical data.
* They're also referred to as algorithmic MTA results-driven MTA.
NEW QUESTION: 4
Which resources do you use when planning a Fit-to-Standard workshop? Note: There are 2 correct Answers to this question.
A. Business process test automates
B. Business process flows
C. Legacy system configurations
D. Test scripts
Answer: A,D
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Feedbacks
Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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Eleanore - 2014-09-28 16:36:48