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What steps should be taken to implement a machine learning model to identify potential new customers on social media?
A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers Currently, the company has the following data in Amazon Aurora • Profiles for all past and existing customers • Profiles for all past and existing insured pets •...
Which technique can be used to improve model performance in terms of accuracy in the validation set?
This graph shows the training and validation loss against the epochs for a neural network. The network being trained is as follows • Two dense layers one output neuron • 100 neurons in each layer • 100 epochs • Random initialization of weights Which technique can be used to improve...
Which storage scheme is MOST adapted to this scenario?
A Data Science team is designing a dataset repository where it will store a large amount of training data commonly used in its machine learning models. As Data Scientists may create an arbitrary number of new datasets every day the solution has to scale automatically and be cost-effective. Also, it...
Which solution should the agency consider?
An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot...
Which combination of steps should the Data Scientist take to reduce the number of false positive predictions by the model?
A Data Scientist is developing a machine learning model to classify whether a financial transaction is fraudulent. The labeled data available for training consists of 100,000 non-fraudulent observations and 1,000 fraudulent observations. The Data Scientist applies the XGBoost algorithm to the data, resulting in the following confusion matrix when the...
Which services are integrated with Amazon SageMaker to track this information?
A Machine Learning Specialist is configuring Amazon SageMaker so multiple Data Scientists can access notebooks, train models, and deploy endpoints. To ensure the best operational performance, the Specialist needs to be able to track how often the Scientists are deploying models, GPU and CPU utilization on the deployed SageMaker endpoints,...
What model should be used to complete this work?
A Machine Learning Specialist was given a dataset consisting of unlabeled data. The Specialist must create a model that can help the team classify the data into different buckets. What model should be used to complete this work?A . K-means clusteringB . Random Cut Forest (RCF)C . XGBoostD . BlazingTextView...
Which method should the Specialist try to improve model performance?
A Machine Learning Specialist deployed a model that provides product recommendations on a company's website Initially, the model was performing very well and resulted in customers buying more products on average However within the past few months the Specialist has noticed that the effect of product recommendations has diminished and...
Which solution should the Data Scientist build to satisfy the requirements?
A Data Scientist needs to create a serverless ingestion and analytics solution for high-velocity, real-time streaming data. The ingestion process must buffer and convert incoming records from JSON to a query-optimized, columnar format without data loss. The output datastore must be highly available, and Analysts must be able to run...
Which of the following services can feed data to the MapReduce jobs?
A Machine Learning Specialist needs to move and transform data in preparation for training Some of the data needs to be processed in near-real time and other data can be moved hourly There are existing Amazon EMR MapReduce jobs to clean and feature engineering to perform on the data. Which...
