MLS-C01 Exam Questions
388 real MLS-C01 exam questions with expert-verified answers and explanations. Page 8 of 8.
- Question #359Modeling
A data scientist is implementing a deep learning neural network model for an object detection task on images. The data scientist wants to experiment with a large number of parallel...
Hyperparameter TuningDeep LearningComputational EfficiencyEarly Stopping - Question #360Machine Learning Implementation and Operations
An agriculture company wants to improve crop yield forecasting for the upcoming season by using crop yields from the last three seasons. The company wants to compare the performanc...
Amazon SageMakerScikit-learnContainerizationManaged ML Services - Question #361Data Engineering
A cybersecurity company is collecting on-premises server logs, mobile app logs, and IoT sensor data. The company backs up the ingested data in an Amazon S3 bucket and sends the ing...
Serverless Data IngestionReal-time Data ProcessingKinesis Data StreamsKinesis Data Firehose - Question #362Data Engineering
A bank has collected customer data for 10 years in CSV format. The bank stores the data in an on-premises server. A data science team wants to use Amazon SageMaker to build and tra...
Data IngestionAmazon S3SageMaker Data AccessData Preparation - Question #363Machine Learning Implementation and Operations
A media company wants to deploy a machine learning (ML) model that uses Amazon SageMaker to recommend new articles to the company's readers. The company's readers are primarily loc...
SageMaker InferenceServerless MLLow LatencyCost Optimization - Question #364Modeling
A machine learning (ML) engineer is using Amazon SageMaker automatic model tuning (AMT) to optimize a model's hyperparameters. The ML engineer notices that the tuning jobs take a l...
SageMaker AMTHyperparameter OptimizationBayesian OptimizationML Tuning Strategy - Question #365Modeling
A global bank requires a solution to predict whether customers will leave the bank and choose another bank. The bank is using a dataset to train a model to predict customer loss. T...
Class ImbalanceSMOTEData PreprocessingClassification - Question #366Exploratory Data Analysis
A banking company provides financial products to customers around the world. A machine learning (ML) specialist collected transaction data from internal customers. The ML specialis...
Bias DetectionPretraining BiasAmazon SageMaker ClarifyConditional Demographic Disparity - Question #367ML Implementation and Operations
A tourism company uses a machine learning (ML) model to make recommendations to customers. The company uses an Amazon SageMaker environment and set hyperparameter tuning completion...
Hyperparameter TuningSageMakerCompletion CriteriaEarly Stopping - Question #368Exploratory Data Analysis
A car company has dealership locations in multiple cities. The company uses a machine learning (ML) recommendation system to market cars to its customers. An ML engineer trained th...
Exploratory Data AnalysisData VisualizationAmazon SageMaker Data WranglerHistograms - Question #369ML Implementation and Operations
A media company is building a computer vision model to analyze images that are on social media. The model consists of CNNs that the company trained by using images that the company...
SageMakerTraining OptimizationPipe ModeCost Optimization - Question #370Machine Learning Implementation and Operations
A telecommunications company has deployed a machine learning model using Amazon SageMaker. The model identifies customers who are likely to cancel their contract when calling custo...
SageMaker Model MonitorData DriftModel MonitoringMLOps - Question #371Modeling
A machine learning (ML) engineer is creating a binary classification model. The ML engineer will use the model in a highly sensitive environment. There is no cost associated with m...
Classification metricsModel evaluationPrecisionFalse positives - Question #372Machine Learning Implementation and Operations
An ecommerce company discovers that the search tool for the company's website is not presenting the top search results to customers. The company needs to resolve the issue so the s...
SearchManaged ServicesOperational EfficiencyRelevance Ranking - Question #373Exploratory Data Analysis
A machine learning (ML) specialist collected daily product usage data for a group of customers. The ML specialist appended customer metadata such as age and gender from an external...
Exploratory Data AnalysisCategorical FeaturesCrosstabulationFeature Relationship - Question #374Exploratory Data Analysis
A company needs to develop a model that uses a machine learning (ML) model for risk analysis. An ML engineer needs to evaluate the contribution each feature of a training dataset m...
Feature ImportanceAmazon SageMaker Data WranglerExploratory Data AnalysisFeature Selection - Question #375Data Engineering
A company is building a predictive maintenance system using real-time data from devices on remote sites. There is no AWS Direct Connect connection or VPN connection between the sit...
Data IngestionReal-time ProcessingAWS Kinesis FirehoseData Transformation - Question #376Machine Learning Implementation and Operations
A company wants to use machine learning (ML) to improve its customer churn prediction model. The company stores data in an Amazon Redshift data warehouse. A data science team wants...
Amazon Redshift MLSQL Machine LearningModel TrainingPrediction - Question #377Modeling
A company's machine learning (ML) team needs to build a system that can detect whether people in a collection of images are wearing the company's logo. The company has a set of lab...
Image ClassificationComputer VisionConvolutional Neural NetworksDeep Learning - Question #378Exploratory Data Analysis
A data scientist uses Amazon SageMaker Data Wrangler to obtain a feature summary from a dataset that the data scientist imported from Amazon S3. The data scientist notices that the...
Target LeakageFeature EngineeringSageMaker Data WranglerData Quality - Question #379Modeling
A data scientist is conducting exploratory data analysis (EDA) on a dataset that contains information about product suppliers. The dataset records the country where each product su...
Feature EncodingCategorical DataDimensionality ReductionData Preprocessing - Question #380Modeling
A data scientist is building a new model for an ecommerce company. The model will predict how many minutes it will take to deliver a package. During model training, the data scient...
Model evaluationRegression metricsMean squared error (MSE)Root mean squared error (RMSE) - Question #381Modeling
A machine learning (ML) specialist is developing a model for a company. The model will classify and predict sequences of objects that are displayed in a video. The ML specialist de...
Transfer LearningConvolutional Neural Networks (CNN)Recurrent Neural Networks (RNN)Model Fine-tuning - Question #382Data Engineering
A company distributes an online multiple-choice survey to several thousand people. Respondents to the survey can select multiple options for each question. A machine learning (ML)...
Data PreprocessingOne-Hot EncodingCategorical Data - Question #383Modeling
A manufacturing company stores production volume data in a PostgreSQL database. The company needs an end-to-end solution that will give business analysts the ability to prepare dat...
AWS Glue DataBrewData preparationNo-code MLTime Series Prediction - Question #384Data Engineering
A data scientist needs to create a model for predictive maintenance. The model will be based on historical data to identify rare anomalies in the data. The historical data is store...
SageMaker Data WranglerData IngestionData SamplingCompute Efficiency - Question #385Machine Learning Implementation and Operations
An ecommerce company has observed that customers who use the company's website rarely view items that the website recommends to customers. The company wants to recommend items to c...
Amazon PersonalizeRecommendation SystemsManaged ML ServicesML Implementation - Question #386Modeling
A machine learning (ML) engineer is preparing a dataset for a classification model. The ML engineer notices that some continuous numeric features have a significantly greater value...
Feature ScalingData PreprocessingModel AccuracyNumeric Features - Question #387ML Implementation and Operations
A manufacturing company produces 100 types of steel rods. The rod types have varying material grades and dimensions. The company has sales data for the steel rods for the past 50 y...
Time Series ForecastingAmazon SageMaker DeepAROperational EfficiencyMulti-series Forecasting - Question #388Modeling
A machine learning (ML) specialist is building a credit score model for a financial institution. The ML specialist has collected data for the previous 3 years of transactions and t...
UnderfittingModel OptimizationFeature EngineeringHyperparameter Tuning - Question #389Modeling
A data scientist uses Amazon SageMaker to perform hyperparameter tuning for a prototype machine leaming (ML) model. The data scientist's domain knowledge suggests that the hyperpar...
Hyperparameter TuningAmazon SageMakerScaling TypesModel Optimization - Question #390Exploratory Data Analysis
A data scientist uses Amazon SageMaker Data Wrangler to analyze and visualize data. The data scientist wants to refine a training dataset by selecting predictor variables that are...
SageMaker Data WranglerPrincipal Component Analysis (PCA)Feature SelectionMulticollinearity - Question #391Machine Learning Implementation and Operations
A business to business (B2B) ecommerce company wants to develop a fair and equitable risk mitigation strategy to reject potentially fraudulent transactions. The company wants to re...
Fraud DetectionAWS Fraud DetectorManaged Machine LearningOperational Efficiency - Question #392Modeling
A data scientist needs to develop a model to detect fraud. The data scientist has less data for fraudulent transactions than for legitimate transactions. The data scientist needs t...
Class ImbalanceBias DetectionAmazon SageMakerManaged ML Services - Question #393Machine Learning Implementation and Operations
A company has 2,000 retail stores. The company needs to develop a new model to predict demand based on holidays and weather conditions. The model must predict demand in each geogra...
Time Series ForecastingAmazon ForecastCanary DeploymentMLOps - Question #394ML Implementation and Operations
A finance company has collected stock return data for 5,000 publicly traded companies. A financial analyst has a dataset that contains 2,000 attributes for each company. The financ...
SageMaker AutopilotAutoMLFeature ImportanceOperational Overhead - Question #395Exploratory Data Analysis
A company is using a machine learning (ML) model to recommend products to customers. An ML specialist wants to analyze the data for the most popular recommendations in four dimensi...
Data VisualizationAmazon SageMaker CanvasMulti-dimensional DataScatter Plot - Question #396Modeling
A clothing company is experimenting with different colors and materials for its products. The company stores the entire sales history of all its products in Amazon S3. The company...
Demand ForecastingTime Series AnalysisCold Start ProblemAmazon SageMaker DeepAR