
Facebook Marketing Science Professional 200-101 模擬試験 |killtest
すべての Killtest 200-101模擬試験の質問は本物であり、すべての回答は、Facebook 200-101模擬試験を含む専門チームと経験豊富な専門家によって検証されています。実際の Facebook メタ マーケティング サイエンス プロフェッショナル (200-101) 試験に参加する前に、これらすべての質問と回答を定期的に練習し、完全に理解していることを確認してください。

Killtest は、200-101模擬試験のすべての質問と回答をよく練習するのに役立つ 2 つの形式を提供します。 1つは印刷可能なpdfファイルで、PC、スマートフォン、タブレットですべてのQ&Aを読むことができます。お支払い完了後、すぐにpdfファイルをダウンロードできます。待つ必要はありません。もう1つは、実際の試験モードを感じるのに役立つシミュレートされたソフトウェアです。 Killtest からソフトウェアを選択した場合は、メールで共有します。
Killtest は常に最新の 200-101試験の質問と回答を共有しています。更新について心配する必要はありません。Killtest で 1 年間無料で更新できます。試験ファイルを更新したら、良いニュースをお知らせします。
200-101試験の無料デモ問題はオンラインであり、Facebook 200-101 模擬試験の品質を確認するのに役立ちます。
Which measurement solution should be the primary source of the analyst's recommendation?
A. Marketing mix model
B. Multi-cell Conversion Lift
C. Multi-touch attribution
D. Nielsen Total Ads Ratings
Answer: A
An advertiser wants to know whether campaign strategy A had significantly different performance than campaign strategy B in terms of additional sales. The campaigns both ran at the same time against mutually exclusive portions of the advertiser's customer base.
What is the null hypothesis of the test design?
A. Sales Lift A = 0, Sales Lift B < 0
B. Sales Lift A = Sales Lift B
C. Sales Lift A >= Sales Lift B
D. Sales Lift A > 0, Sales Lift B = 0
Answer: C
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?
A. Third-party data sources as an estimation of real customers
B. First-party data such as email or phone number captured in-store
C. Coordinates from each of its regional shops
D. Data from the Facebook pixel in its site
Answer: D
A taxi company is working on building an understanding of household customer lifetime value. Some of their customers order via digital platforms, some via phone, and some alternate between the two. They currently calculate lifetime value (LTV) by looking at all hashed order data including email addresses for online customers and all phone numbers for phone orders. The results showed that email customers had a yearly LTV of $100, and the phone customers had a yearly LTV of $80. However, the company is aware that a group of people are introducing some noise into the results by ordering via both phone and online.
What solution should the analyst recommend to enhance the ability to create a functional LTV model?
A. Remove all customers who use both from the LTV model
B. Ask online customers to provide their phone number in a post-order survey
C. Gather hashed email and phone number for each order on any channel
D. Select the average of the two models
Answer: A
A large ecommerce company wants to know which of its two creative strategies is generating the highest number of conversions. It already knows that both strategies generate significant lift compared to a holdout group.
What measurement solution should be used?
A. Facebook Brand Lift
B. Facebook Analytics
C. Facebook Conversion Lift
D. Facebook A/B test
Answer: C
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