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 into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real timeWhich solution should the agency consider?
Answer(s): A
As mentioned in below user comment, DeepLens is not offered as a commercial product.https://aws.amazon.com/deeplens/device-terms-of-use/
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•Policy-level information•Premiums received•Claims paidWhat steps should be taken to implement a machine learning model to identify potential new customers on social media?
Answer(s): C
A manufacturing company has a large set of labeled historical sales data. The manufacturer would like to predict how many units of a particular part should be produced each quarter.Which machine learning approach should be used to solve this problem?
Answer(s): B
A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements:•Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum.•Support event-driven ETL pipelines•Provide a quick and easy way to understand metadataWhich approach meets these requirements?
A company's Machine Learning Specialist needs to improve the training speed of a time-series forecasting model using TensorFlow. The training is currently implemented on a single-GPU machine and takes approximately 23 hours to complete. The training needs to be run daily.The model accuracy is acceptable, but the company anticipates a continuous increase in the size of the training data and a need to update the model on an hourly, rather than a daily, basis. The company also wants to minimize coding effort and infrastructure changes.What should the Machine Learning Specialist do to the training solution to allow it to scale for future demand?
Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?
Answer(s): D
A company is running a machine learning prediction service that generates 100 TB of predictions every day. A Machine Learning Specialist must generate a visualization of the daily precision-recall curve from the predictions, and forward a read-only version to the Business team.Which solution requires the LEAST coding effort?
A Machine Learning Specialist is preparing data for training on Amazon SageMaker. The Specialist is using one of the SageMaker built-in algorithms for the training. The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training.What should the Specialist do to optimize the data for training on SageMaker?
Share your comments for Amazon MLS-C01 exam with other users:
i am thrilled to say that i passed my amazon web services mls-c01 exam, thanks to study materials. they were comprehensive and well-structured, making my preparation efficient.