[Mar 29, 2023] Amazon MLS-C01 Exam Dumps Files, Q1/157: A company wants to classify user behavior as either fraudulent or normal. Based on internal research,

Join the discussion

Question 1/157

A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a machine learning specialist will build a binary classifier based on two features: age of account, denoted by x, and transaction month, denoted by y. The class distributions are illustrated in the provided figure. The positive class is portrayed in red, while the negative class is portrayed in black.

Which model would have the HIGHEST accuracy?

A. Linear support vector machine (SVM)

B. Decision tree

C. Single perceptron with a Tanh activation function

D. Support vector machine (SVM) with a radial basis function kernel

Add Comments

Other Question (157q): Q1. A company wants to classify user behavior as either fraudulent or normal. Based on interna...; Q2. A Machine Learning Specialist is designing a scalable data storage solution for Amazon Sag...; Q3. When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which...; Q4. A gaming company has launched an online game where people can start playing for free, but ...; Q5. A Data Scientist is working on an application that performs sentiment analysis. The valida...; Q6. A Mobile Network Operator is building an analytics platform to analyze and optimize a comp...; Q7. A machine learning (ML) specialist must develop a classification model for a financial ser...; Q8. A Machine Learning Specialist is applying a linear least squares regression model to a dat...; Q9. A Data Scientist is developing a binary classifier to predict whether a patient has a part...; Q10. A web-based company wants to improve its conversion rate on its landing page. Using a larg...; Q11. A Data Science team within a large company uses Amazon SageMaker notebooks to access data ...; Q12. A retail chain has been ingesting purchasing records from its network of 20,000 stores to ...; Q13. A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket...; Q14. A company is observing low accuracy while training on the default built-in image classific...; Q15. A Machine Learning Specialist previously trained a logistic regression model using scikit-...; Q16. A Machine Learning Specialist is required to build a supervised image-recognition model to...; Q17. A Machine Learning Specialist must build out a process to query a dataset on Amazon S3 usi...; Q18. A company has set up and deployed its machine learning (ML) model into production with an ...; Q19. A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket...; Q20. An agency collects census information within a country to determine healthcare and social ...; Q21. A manufacturing company wants to use machine learning (ML) to automate quality control in ...; Q22. A Machine Learning Specialist is packaging a custom ResNet model into a Docker container s...; Q23. A Machine Learning Specialist is given a structured dataset on the shopping habits of a co...; Q24. A Data Scientist needs to create a serverless ingestion and analytics solution for high-ve...; Q25. A city wants to monitor its air quality to address the consequences of air pollution. A Ma...; Q26. A Machine Learning Specialist at a company sensitive to security is preparing a dataset fo...; Q27. This graph shows the training and validation loss against the epochs for a neural network....; Q28. An office security agency conducted a successful pilot using 100 cameras installed at key ...; Q29. During mini-batch training of a neural network for a classification problem, a Data Scient...; Q30. A Data Scientist is working on an application that performs sentiment analysis. The valida...; Q31. A global financial company is using machine learning to automate its loan approval process...; Q32. A Machine Learning Specialist deployed a model that provides product recommendations on a ...; Q33. An agency collects census information within a country to determine healthcare and social ...; Q34. An interactive online dictionary wants to add a widget that displays words used in similar...; Q35. An interactive online dictionary wants to add a widget that displays words used in similar...; Q36. A data scientist is using the Amazon SageMaker Neural Topic Model (NTM) algorithm to build...; Q37. A Machine Learning Specialist is building a supervised model that will evaluate customers'...; Q38. A Machine Learning team has several large CSV datasets in Amazon S3. Historically, models ...; Q39. An agency collects census information within a country to determine healthcare and social ...; Q40. A Machine Learning Specialist is developing a daily ETL workflow containing multiple ETL j...; Q41. A company wants to classify user behavior as either fraudulent or normal. Based on interna...; Q42. A large mobile network operating company is building a machine learning model to predict c...; Q43. A Machine Learning Specialist is working with a large company to leverage machine learning...; Q44. A Data Scientist is working on an application that performs sentiment analysis. The valida...; Q45. A Data Scientist is developing a machine learning model to predict future patient outcomes...; Q46. A company wants to classify user behavior as either fraudulent or normal. Based on interna...; Q47. A Data Scientist needs to migrate an existing on-premises ETL process to the cloud The cur...; Q48. A Machine Learning Specialist is required to build a supervised image-recognition model to...; Q49. An insurance company needs to automate claim compliance reviews because human reviews are ...; Q50. A logistics company needs a forecast model to predict next month's inventory requirements ...; Q51. A company wants to classify user behavior as either fraudulent or normal. Based on interna...; Q52. An insurance company is developing a new device for vehicles that uses a camera to observe...; Q53. A machine learning (ML) specialist is administering a production Amazon SageMaker endpoint...; Q54. A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensem...; Q55. A Mobile Network Operator is building an analytics platform to analyze and optimize a comp...; Q56. A Machine Learning Specialist is creating a new natural language processing application th...; Q57. A monitoring service generates 1 TB of scale metrics record data every minute A Research t...; Q58. A machine learning specialist is developing a proof of concept for government users whose ...; Q59. A monitoring service generates 1 TB of scale metrics record data every minute A Research t...; Q60. A Machine Learning Specialist is configuring Amazon SageMaker so multiple Data Scientists ...; Q61. An e commerce company wants to launch a new cloud-based product recommendation feature for...; Q62. A manufacturing company uses machine learning (ML) models to detect quality issues. The mo...; Q63. A company that promotes healthy sleep patterns by providing cloud-connected devices curren...; Q64. A credit card company wants to build a credit scoring model to help predict whether a new ...; Q65. A Mobile Network Operator is building an analytics platform to analyze and optimize a comp...; Q66. A term frequency-inverse document frequency (tf-idf) matrix using both unigrams and bigram...; Q67. A Data Scientist is working on an application that performs sentiment analysis. The valida...; Q68. A Machine Learning Specialist deployed a model that provides product recommendations on a ...; Q69. A Machine Learning team uses Amazon SageMaker to train an Apache MXNet handwritten digit c...; Q70. A Machine Learning Specialist uploads a dataset to an Amazon S3 bucket protected with serv...; Q71. A Machine Learning Specialist needs to move and transform data in preparation for training...; Q72. A data scientist uses an Amazon SageMaker notebook instance to conduct data exploration an...; Q73. A data engineer at a bank is evaluating a new tabular dataset that includes customer dat a...; Q74. A data scientist needs to identify fraudulent user accounts for a company's ecommerce plat...; Q75. A Machine Learning Specialist is training a model to identify the make and model of vehicl...; Q76. A Machine Learning Specialist wants to bring a custom algorithm to Amazon SageMaker. The S...; Q77. A real estate company wants to create a machine learning model for predicting housing pric...; Q78. A company's Machine Learning Specialist needs to improve the training speed of a time-seri...; Q79. A trucking company is collecting live image data from its fleet of trucks across the globe...; Q80. A Machine Learning Specialist is working with a large cybersecurily company that manages s...; Q81. A retail company is selling products through a global online marketplace. The company want...; Q82. A company is using Amazon Textract to extract textual data from thousands of scanned text-...; Q83. A Machine Learning Specialist wants to bring a custom algorithm to Amazon SageMaker. The S...; Q84. A machine learning (ML) specialist wants to secure calls to the Amazon SageMaker Service A...; Q85. A Data Scientist is developing a machine learning model to predict future patient outcomes...; Q86. A credit card company wants to build a credit scoring model to help predict whether a new ...; Q87. A Machine Learning Specialist is designing a system for improving sales for a company. The...; Q88. A manufacturing company has a large set of labeled historical sales data The manufacturer ...; Q89. A real-estate company is launching a new product that predicts the prices of new houses. T...; Q90. A Machine Learning Specialist is preparing data for training on Amazon SageMaker. The Spec...; Q91. A Data Science team within a large company uses Amazon SageMaker notebooks to access data ...; Q92. A Machine Learning Specialist deployed a model that provides product recommendations on a ...; Q93. An interactive online dictionary wants to add a widget that displays words used in similar...; Q94. Machine Learning Specialist is building a model to predict future employment rates based o...; Q95. A Data Science team within a large company uses Amazon SageMaker notebooks to access data ...; Q96. A Machine Learning Specialist is designing a system for improving sales for a company. The...; Q97. A company is building a line-counting application for use in a quick-service restaurant. T...; Q98. A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensem...; Q99. A Data Scientist is building a model to predict customer churn using a dataset of 100 cont...; Q100. A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private ...; Q101. An insurance company is developing a new device for vehicles that uses a camera to observe...; Q102. A Data Scientist wants to gain real-time insights into a data stream of GZIP files. Which ...; Q103. A data scientist is using an Amazon SageMaker notebook instance and needs to securely acce...; Q104. A retail chain has been ingesting purchasing records from its network of 20,000 stores to ...; Q105. A Data Scientist is building a linear regression model and will use resulting p-values to ...; Q106. A Machine Learning Specialist working for an online fashion company wants to build a data ...; Q107. When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which...; Q108. A Machine Learning Specialist previously trained a logistic regression model using scikit-...; Q109. A data scientist has a dataset of machine part images stored in Amazon Elastic File System...; Q110. A Machine Learning Specialist is building a prediction model for a large number of feature...; Q111. A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket...; Q112. A data scientist must build a custom recommendation model in Amazon SageMaker for an onlin...; Q113. A Data Scientist received a set of insurance records, each consisting of a record ID, the ...; Q114. A company is observing low accuracy while training on the default built-in image classific...; Q115. A company wants to classify user behavior as either fraudulent or normal. Based on interna...; Q116. An online reseller has a large, multi-column dataset with one column missing 30% of its da...; Q117. A retail company is using Amazon Personalize to provide personalized product recommendatio...; Q118. A Machine Learning Specialist at a company sensitive to security is preparing a dataset fo...; Q119. A Machine Learning Specialist is developing a custom video recommendation model for an app...; Q120. A retail company is using Amazon Personalize to provide personalized product recommendatio...; Q121. A company wants to classify user behavior as either fraudulent or normal. Based on interna...; Q122. A Data Scientist wants to gain real-time insights into a data stream of GZIP files. Which ...; Q123. A Data Scientist needs to migrate an existing on-premises ETL process to the cloud. The cu...; Q124. A financial services company is building a robust serverless data lake on Amazon S3. The d...; Q125. A Machine Learning team runs its own training algorithm on Amazon SageMaker. The training ...; Q126. A company is running a machine learning prediction service that generates 100 TB of predic...; Q127. A retail company wants to combine its customer orders with the product description data fr...; Q128. For the given confusion matrix, what is the recall and precision of the model? (Exhibit)...; Q129. A Machine Learning Specialist works for a credit card processing company and needs to pred...; Q130. A Machine Learning Specialist is implementing a full Bayesian network on a dataset that de...; Q131. During mini-batch training of a neural network for a classification problem, a Data Scient...; Q132. A Marketing Manager at a pet insurance company plans to launch a targeted marketing campai...; Q133. A Machine Learning Specialist must build out a process to query a dataset on Amazon S3 usi...; Q134. Which of the following metrics should a Machine Learning Specialist generally use to compa...; Q135. A Machine Learning Specialist is working with a large company to leverage machine learning...; Q136. A Machine Learning Specialist working for an online fashion company wants to build a data ...; Q137. A Machine Learning Specialist is implementing a full Bayesian network on a dataset that de...; Q138. A company is converting a large number of unstructured paper receipts into images. The com...; Q139. A Machine Learning Specialist has completed a proof of concept for a company using a small...; Q140. A Machine Learning Specialist trained a regression model, but the first iteration needs op...; Q141. A large mobile network operating company is building a machine learning model to predict c...; Q142. A machine learning specialist is running an Amazon SageMaker endpoint using the built-in o...; Q143. A gaming company has launched an online game where people can start playing for free but t...; Q144. A Machine Learning Specialist is using Amazon SageMaker to host a model for a highly avail...; Q145. A Machine Learning Specialist needs to create a data repository to hold a large amount of ...; Q146. A Data Scientist wants to gain real-time insights into a data stream of GZIP files. Which ...; Q147. A Machine Learning Specialist at a company sensitive to security is preparing a dataset fo...; Q148. A Data Scientist is developing a machine learning model to classify whether a financial tr...; Q149. A company needs to quickly make sense of a large amount of data and gain insight from it. ...; Q150. A Data Scientist uses logistic regression to build a fraud detection model. While the mode...; Q151. A Machine Learning Specialist trained a regression model, but the first iteration needs op...; Q152. A company is running a machine learning prediction service that generates 100 TB of predic...; Q153. Which of the following metrics should a Machine Learning Specialist generally use to compa...; Q154. A Machine Learning Specialist is training a model to identify the make and model of vehicl...; Q155. A Machine Learning Specialist needs to be able to ingest streaming data and store it in Ap...; Q156. A Machine Learning Specialist is training a model to identify the make and model of vehicl...; Q157. A Machine Learning Specialist is packaging a custom ResNet model into a Docker container s...

Join the discussion

Question 1/157

Add Comments

Download PDF File