200-101 Interconnecting Cisco Networking Devices Part 2

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Showing 7–9 of 9 questions

Question 7

A retail brand needs to increase purchases. The brand has video content that was designed for a cross-screen experience on TV and Facebook. The brand launches its campaign in 30-second and 60-second TV spots and then launches 6- and 15-second mobile-friendly videos with captions. The brand runs a Facebook multi-cell Conversion Lift test to compare the effectiveness of the two mobile videos:

• Cell A: 50% of campaign budget, optimized for purchase event, 6-second video

• Cell B: 50% of campaign budget, optimized for purchase event, 15-second video

At the end of the campaign, Cell A yields a 4-point lift with a p-value = 0.4. Cell B yields a

2.6-point lift with a p-value = 0.05

Which recommendation should be made to increase future purchases?

Select an option, then click Submit answer.

  • Change the campaign objective to Catalog Sales

  • Change the campaign objective to Video Views

  • Allocate more campaign budget toward the 6-second video

  • Allocate more campaign budget toward the 15-second video


Question 8

A local retailer wants to measure the effectiveness of Facebook campaigns based on the number of in-store purchases after customers have been exposed to an ad within the platform.

Where should outcome data be sourced?

Select an option, then click Submit answer.

  • Third-party data sources as an estimation of real customers

  • First-party data such as email or phone number captured in-store

  • Coordinates from each of its regional shops

  • Data from the Facebook pixel in its site


Question 9

An analyst analyzes 1,000 Facebook video campaigns and calculates there is a correlation of r = 0.6 between view duration of a campaign and additional ad recall lift. What should the analyst tell the company about the relationship between view duration and ad recall lift?

Select an option, then click Submit answer.

  • 60% of campaigns with longer view durations had also higher ad recall lift

  • 36% of the variation in ad recall can be explained by campaign's view duration

  • There is 60% probability that longer view durations in a campaign leads to higher ad recall

  • 40% of the variation in ad recall can be explained by campaign's view duration