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NEW QUESTION 47
A Machine Learning Specialist is working with a large company to leverage machine learning within its products. The company wants to group its customers into categories based on which customers will and will not churn within the next 6 months. The company has labeled the data available to the Specialist.
Which machine learning model type should the Specialist use to accomplish this task?

A. ClassificationB. Linear regressionC. Reinforcement learningD. Clustering

Answer: A

Explanation:
The goal of classification is to determine to which class or category a data point (customer in our case) belongs to. For classification problems, data scientists would use historical data with predefined target variables AKA labels (churner/non-churner) - answers that need to be predicted - to train an algorithm. With classification, businesses can answer the following questions:
* Will this customer churn or not?
* Will a customer renew their subscription?
* Will a user downgrade a pricing plan?
* Are there any signs of unusual customer behavior?
Reference: https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

 

NEW QUESTION 48
A Data Scientist wants to gain real-time insights into a data stream of GZIP files.
Which solution would allow the use of SQL to query the stream with the LEAST latency?

A. AWS Glue with a custom ETL script to transform the data.B. Amazon Kinesis Data Analytics with an AWS Lambda function to transform the data.C. An Amazon Kinesis Client Library to transform the data and save it to an Amazon ES cluster.D. Amazon Kinesis Data Firehose to transform the data and put it into an Amazon S3 bucket.

Answer: B

Explanation:
Explanation/Reference: https://aws.amazon.com/big-data/real-time-analytics-featured-partners/

 

NEW QUESTION 49
A data scientist has developed a machine learning translation model for English to Japanese by using Amazon SageMaker's built-in seq2seq algorithm with 500,000 aligned sentence pairs. While testing with sample sentences, the data scientist finds that the translation quality is reasonable for an example as short as five words. However, the quality becomes unacceptable if the sentence is 100 words long.
Which action will resolve the problem?

A. Adjust hyperparameters related to the attention mechanism.B. Add more nodes to the recurrent neural network (RNN) than the largest sentence's word count.C. Choose a different weight initialization type.D. Change preprocessing to use n-grams.

Answer: B

 

NEW QUESTION 50
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