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Exam AWS Certified Big Data - Specialty topic 1 question 43 discussion

Exam question from Amazon's AWS Certified Big Data - Specialty

Question #: 43
Topic #: 1

[All AWS Certified Big Data - Specialty Questions]

A telecommunications company needs to predict customer churn (i.e., customers who decide to switch to a competitor). The company has historic records of each customer, including monthly consumption patterns, calls to customer service, and whether the customer ultimately quit the service. All of this data is stored in
Amazon S3. The company needs to know which customers are likely going to churn soon so that they can win back their loyalty.
What is the optimal approach to meet these requirements?

A. Use the Amazon Machine Learning service to build the binary classification model based on the dataset stored in Amazon S3. The model will be used regularly to predict churn attribute for existing customers.
B. Use AWS QuickSight to connect it to data stored in Amazon S3 to obtain the necessary business insight. Plot the churn trend graph to extrapolate churn likelihood for existing customers.
C. Use EMR to run the Hive queries to build a profile of a churning customer. Apply a profile to existing customers to determine the likelihood of churn.
D. Use a Redshift cluster to COPY the data from Amazon S3. Create a User Defined Function in Redshift that computes the likelihood of churn.

Show Suggested Answer

Suggested Answer: B 🗳️

by mattyb123 at Aug. 13, 2019, 8:04 a.m.

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Comments

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muhsin

Highly Voted 3 years, 8 months ago

it is absolutely A. churn prediction is a machine learning algorithm. Quicksight provide a visual analysis.

upvoted 11 times

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mattyb123

Highly Voted 3 years, 8 months ago

Thoughts on A?

upvoted 6 times

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YashBindlish

Most Recent 3 years, 7 months ago

Prediction it has to be Machine Learning. So i will go with A

upvoted 1 times

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Sandip_ece

3 years, 7 months ago

I will go with A

upvoted 1 times

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san2020

3 years, 7 months ago

my selection A

upvoted 3 times

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sriansri

3 years, 7 months ago

This is obvious A is the correct answer. https://aws.amazon.com/blogs/machine-learning/predicting-customer-churn-with-amazon-machine-learning/

upvoted 3 times

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Raju_k

3 years, 7 months ago

I would go with A.

upvoted 1 times

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cybe001

3 years, 8 months ago

It is A. You may use QuickSight to visually analyze the data points using Scatter Plot and find out if a customer is going to leave or not. It is not an "Optimal Solution". Binary classification ML is appropriate for it.

upvoted 1 times

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L33

3 years, 8 months ago

https://aws.amazon.com/quicksight/features-ml/?nc=sn&loc=2&dn=2 It talks about using quicksight to discover trends, like whether someone is going to flip or not.

upvoted 1 times

DJTau

3 years, 8 months ago

answers only referenced Quicksight not Quicksight ML so will stick with A ..u have a point though

upvoted 1 times

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MihirB

3 years, 7 months ago

I dont believe you can still use Quicksight ML to attain your use case, going through the video you can only attain the following use cases via Quicksight ML:- - Anomaly Detection (Random Forest) - Forecasting --> Regression over time -->Time-series Analysis --> Estimating values of certain attributes over time. - What if Analysis --> If You change the value of a certain attribute you can see its effect on your analysis being reflected over your dataset - Auto-Narratives --> Summarizing your Graphs in words by parsing through your dataset. Thus, I believe A is the correct answer herein!

upvoted 1 times

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bigdatalearner

3 years, 8 months ago

who put answer B as correct answer here ? any admin of this website can correct the obvious wrong answers provided ?

upvoted 2 times

Corram

3 years, 7 months ago

also curious who did this :D to honor san2020 let me write: my selection A

upvoted 2 times

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VB

3 years, 8 months ago

For A, the company needs to have all data including previous customers, i.e. they should have both old and new customers in S3.. then they can build a binary classification (yes/no) to decide.

upvoted 1 times

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pra276

3 years, 8 months ago

Answer is A

upvoted 1 times

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Jialu

3 years, 8 months ago

A is correct answer

upvoted 1 times

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