MLS-C01 (Page 23)

A retail company wants to combine its customer orders with the product description data from its product catalog.The structure and format of the records in each dataset is different.A data analyst tried to use a spreadsheet to combine the datasets, but the effort resulted in duplicate records and records that were not properly combined.The company needs a solution that it can use to combine similar records from the two datasets and remove any duplicates.Which solution will meet these requirements?Read More →

A data scientist has been running an Amazon SageMaker notebook instance for a few weeks.During this time, a new version of Jupyter Notebook was released along with additional software updates.The security team mandates that all running SageMaker notebook instances use the latest security and software updates provided by SageMaker.How can the data scientist meet this requirements?Read More →

A machine learning (ML) specialist must develop a classification model for a financial services company.A domain expert provides the dataset, which is tabular with 10,000 rows and 1,020 features.During exploratory data analysis, the specialist finds no missing values and a small percentage of duplicate rows.There are correlation scores of > 0.9 for 200 feature pairs.The mean value of each feature is similar to its 50th percentile.Which feature engineering strategy should the ML specialist use with Amazon SageMaker?Read More →

A machine learning specialist is developing a proof of concept for government users whose primary concern is security.The specialist is using AmazonSageMaker to train a convolutional neural network (CNN) model for a photo classifier application.The specialist wants to protect the data so that it cannot be accessed and transferred to a remote host by malicious code accidentally installed on the training container.Which action will provide the MOST secure protection?Read More →

A Machine Learning Specialist is working for an online retailer that wants to run analytics on every customer visit, processed through a machine learning pipeline.The data needs to be ingested by Amazon Kinesis Data Streams at up to 100 transactions per second, and the JSON data blob is 100 KB in size.What is the MINIMUM number of shards in Kinesis Data Streams the Specialist should use to successfully ingest this data?Read More →

A Machine Learning Specialist uploads a dataset to an Amazon S3 bucket protected with server-side encryption using AWS KMS.How should the ML Specialist define the Amazon SageMaker notebook instance so it can read the same dataset from Amazon S3?Read More →

A data engineer is preparing a dataset that a retail company will use to predict the number of visitors to stores.The data engineer created an Amazon S3 bucket.The engineer subscribed the S3 bucket to an AWS Data Exchange data product for general economic indicators.The data engineer wants to join the economic indicator data to an existing table in Amazon Athena to merge with the business data.All these transformations must finish running in 30-60 minutes.Which solution will meet these requirements MOST cost-effectively?Read More →

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 customers are starting to return to their original habits of spending less.The Specialist is unsure of what happened, as the model has not changed from its initial deployment over a year ago.Which method should the Specialist try to improve model performance?Read More →

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 DataScientists may create an arbitrary number of new datasets every day, the solution has to scale automatically and be cost-effective.Also, it must be possible to explore the data using SQL.Which storage scheme is MOST adapted to this scenario?Read More →

A data science team is working with a tabular dataset that the team stores in Amazon S3.The team wants to experiment with different feature transformations such as categorical feature encoding.Then the team wants to visualize the resulting distribution of the dataset.After the team finds an appropriate set of feature transformations, the team wants to automate the workflow for feature transformations.Which solution will meet these requirements with the MOST operational efficiency?Read More →