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Which approach should the Specialist use for training a model using that data?
A Machine Learning Specialist has completed a proof of concept for a company using a small data sample, and now the Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker. The historical training data is stored in Amazon RDS. Which approach should the Specialist use for...
What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold. What model evaluation technique should the Specialist use to understand how different classification thresholds...
How should a Machine Learning Specialist address this issue for future documents?
A company is using Amazon Polly to translate plaintext documents to speech for automated company announcements. However, company acronyms are being mispronounced in the current documents. How should a Machine Learning Specialist address this issue for future documents?A . Convert current documents to SSML with pronunciation tags.B . Create an...
Which solution takes the LEAST effort to implement?
A Mobile Network Operator is building an analytics platform to analyze and optimize a company's operations using Amazon Athena and Amazon S3. The source systems send data in .CSV format in real time. The Data Engineering team wants to transform the data to the Apache Parquet format before storing it...
Based on this information, which model would have the HIGHEST recall with respect to the fraudulent class?
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided. Based...
Which of the following approaches should the Data Science team take to mitigate this issue?
A gaming company has launched an online game where people can start playing for free, but they need to pay if they choose to use certain features. The company needs to build an automated system to predict whether or not a new user will become a paid user within 1...
Based on the model evaluation results, why is this a viable model for production?
A large mobile network operating company is building a machine learning model to predict customers who are likely to unsubscribe from the service. The company plans to offer an incentive for these customers as the cost of churn is far greater than the cost of the incentive. The model produces...
How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?
A Data Engineer needs to build a model using a dataset containing customer credit card information How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?A . Use a custom encryption algorithm to encrypt the data and store the data on an Amazon...
What is the MOST likely cause of this issue?
During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates. What is the MOST likely cause of this issue?A . The class distribution in the dataset is imbalanced.B . Dataset shuffling is disabled.C . The batch size is too big.D ....
What should the Specialist do to meet this objective?
A Machine Learning Specialist is designing a system for improving sales for a company. The objective is to use the large amount of information the company has on users’ behavior and product preferences to predict which products users would like based on the users’ similarity to other users. What should...
