Pazarlama Testinde Yapay Zeka

Testi çözdüğünüzde cevaplar ve açıklamalar görünür.

1. A campaign team has not decided whether it wants awareness, leads or purchases. What should it do before choosing an AI model?
   • Optimize impressions by default
   • Define the audience need and intended outcome
   • Select the newest model
   • Write copy before identifying the audience
2. A generated ad claims a product “cuts costs by 40%.” What review is needed?
   • Verify the claim against current evidence before publication
   • Keep it if the language is persuasive
   • Add a disclaimer instead of checking
   • Ask the model to make the number more specific
3. Why can a campaign with more clicks still be unsuccessful?
   • Clicks always equal customer value
   • Impressions are the only valid outcome
   • A high click-through rate proves accessibility
   • Sensational wording may attract unqualified users, complaints or unsubscribes
4. A model selects audiences using a sensitive proxy unrelated to the offer. Which concern applies?
   • A proxy always improves relevance
   • Sensitive attributes guarantee consent
   • The targeting may be irrelevant or unfair and should be reviewed
   • Audience selection does not affect people
5. Which set of outcomes better evaluates a retention campaign?
   • Qualified conversions, refunds, complaints, and unsubscribe rates
   • Impressions and clicks only
   • Model size and generation speed
   • Number of words in the ad
6. Why version the audience, creative and landing page used in an experiment?
   • To prevent users from seeing an ad
   • To know which combination produced the observed result
   • To make the model deterministic
   • To remove the need for consent
7. A marketing assistant generates a testimonial from a prompt with no customer source. What should the team do?
   • Use it because the model writes naturally
   • Add a star rating and publish
   • Ask a second model to invent a name
   • Do not present it as a real customer experience without verifying its basis
8. Who should approve sensitive or public-facing AI marketing claims?
   • The model alone
   • The ad platform’s ranking algorithm
   • A human reviewer with authority under the organization’s approval process
   • The customer segment itself