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NEW QUESTION: 1
Which option describes why the service profiles do not inherit changes from the template?
A. The service profile has disabled inheritance.
B. The changes to the template have not been committed.
C. The service profile is not compatible with the changes.
D. It is an initial template.
NEW QUESTION: 2
How does Encapsulating Security Payload (ESP) in transport mode affect the Internet Protocol (IP)?
A. Encrypts and optionally authenticates the IP payload, but not the IP header
B. Encrypts and optionally authenticates the complete IP packet
C. Authenticates the IP payload and selected portions of the IP header
D. Encrypts and optionally authenticates the IP header, but not the IP payload
NEW QUESTION: 3
What are some advantages of a statistical attribution model versus a rules-based attribution model?
Choose only ONE best answer.
A. You select where along the path you want to assign credit for the conversion.
B. Use algorithms to determine credit for each touchpoint in the user flow.
C. Are cookie based model that is more effective in measuring your marketing campaigns.
D. Credits one touchpoint according to a specific rule.
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
To modify the theme in Theme Designer, which of the below mode is used to make fine tune adjustments
to the theme?
Please choose the correct answer. Response:
A. Quick mode
B. Expert mode
D. CSS tab