MLS-C01 Exam Questions
388 real MLS-C01 exam questions with expert-verified answers and explanations. Page 6 of 8.
- Question #251Modeling
A retail company wants to create a system that can predict sales based on the price of an item. A machine learning (ML) engineer built an initial linear model that resulted in the...
Residual AnalysisModel DiagnosticsNon-linear ModelingFeature Transformation - Question #252Modeling
A data scientist at a food production company wants to use an Amazon SageMaker built-in model to classify different vegetables. The current dataset has many features. The company w...
k-nearest neighborsdimension reductioncost optimizationclassification - Question #253Machine Learning Implementation and Operations
A data scientist is training a large PyTorch model by using Amazon SageMaker. It takes 10 hours on average to train the model on GPU instances. The data scientist suspects that tra...
SageMaker DebuggerModel Training OptimizationResource Utilization MonitoringConvergence Issues - Question #254Machine Learning Implementation and Operations
A bank wants to launch a low-rate credit promotion campaign. The bank must identify which customers to target with the promotion and wants to make sure that each customer's full cr...
SageMaker ClarifyModel ExplainabilityMLOpsXGBoost - Question #255Modeling
A company has hired a data scientist to create a loan risk model. The dataset contains loan amounts and variables such as loan type, region, and other demographic variables. The da...
Bias detectionPretraining biasSageMaker ClarifyStatistical divergence - Question #256Modeling
A retail company wants to use Amazon Forecast to predict daily stock levels of inventory. The cost of running out of items in stock is much higher for the company than the cost of...
Amazon ForecastTime Series ForecastingQuantile RegressionDeep Learning Algorithms - Question #257Machine Learning Implementation and Operations
An online retail company wants to develop a natural language processing (NLP) model to improve customer service. A machine learning (ML) specialist is setting up distributed traini...
SageMaker SecurityVPC NetworkingIAM SecurityS3 Data Security - Question #258ML Implementation and Operations
An analytics company has an Amazon SageMaker hosted endpoint for an image classification model. The model is a custom-built convolutional neural network (CNN) and uses the PyTorch...
SageMakerInference OptimizationCost ManagementElastic Inference - Question #259Data Engineering
An ecommerce company is collecting structured data and unstructured data from its website, mobile apps, and IoT devices. The data is stored in several databases and Amazon S3 bucke...
Data LakeAWS Lake FormationAWS Glue Data CatalogData Security - Question #260Modeling
A machine learning (ML) specialist is developing a deep learning sentiment analysis model that is based on data from movie reviews. After the ML specialist trains the model and rev...
Deep LearningOverfittingRegularizationModel Generalization - Question #261Modeling
An online advertising company is developing a linear model to predict the bid price of advertisements in real time with low-latency predictions. A data scientist has trained the li...
OverfittingL1 RegularizationFeature SelectionLinear Models - Question #262Modeling
A credit card company wants to identify fraudulent transactions in real time. A data scientist builds a machine learning model for this purpose. The transactional data is captured...
Class ImbalanceSMOTEModel EvaluationBinary Classification - Question #263ML Implementation and Operations
A company is training machine learning (ML) models on Amazon SageMaker by using 200 TB of data that is stored in Amazon S3 buckets. The training data consists of individual files t...
SageMaker data input modesLarge-scale data trainingData access performanceS3 integration - Question #264Modeling
An online store is predicting future book sales by using a linear regression model that is based on past sales data. The data includes duration, a numerical feature that represents...
Data TransformationFeature EngineeringLinear RegressionNon-linear Relationships - Question #265Data Engineering
A company's data engineer wants to use Amazon S3 to share datasets with data scientists. The data scientists work in three departments: Finance. Marketing, and Human Resources. Eac...
S3 Access ControlIAM PoliciesS3 Data OrganizationS3 Bucket Policies - Question #274ML Implementation and Operations
A machine learning (ML) engineer is integrating a production model with a customer metadata repository for real-time inference. The repository is hosted in Amazon SageMaker Feature...
SageMaker Feature StoreReal-time inferenceFeature Store APIData retrieval - Question #275ML Implementation and Operations
A company's data scientist has trained a new machine learning model that performs better on test data than the company's existing model performs in the production environment. The...
SageMaker EndpointsA/B TestingModel DeploymentProduction Variants - Question #276Machine Learning Implementation and Operations
A data scientist is working on a forecast problem by using a dataset that consists of .csv files that are stored in Amazon S3. The files contain a timestamp variable in the followi...
Feature EngineeringData PreparationSageMaker Data WranglerOperational Overhead - Question #277Modeling
A manufacturing company has a production line with sensors that collect hundreds of quality metrics. The company has stored sensor data and manual inspection results in a data lake...
ClassificationXGBoostAlgorithm SelectionSupervised Learning - Question #278Machine Learning Implementation and Operations
A healthcare company wants to create a machine learning (ML) model to predict patient outcomes. A data science team developed an ML model by using a custom ML library. The company...
SageMakerLoggingCloudWatchTroubleshooting - Question #279Modeling
A data scientist wants to build a financial trading bot to automate investment decisions. The financial bot should recommend the quantity and price of an asset to buy or sell to ma...
Reinforcement LearningML Algorithm SelectionFinancial ApplicationsSequential Decision Making - Question #280ML Implementation and Operations
A manufacturing company wants to create a machine learning (ML) model to predict when equipment is likely to fail. A data science team already constructed a deep learning model by...
SageMaker Training CompilerCost OptimizationDeep Learning TrainingTensorFlow on SageMaker - Question #281Modeling
An automotive company uses computer vision in its autonomous cars. The company trained its object detection models successfully by using transfer learning from a convolutional neur...
Model OptimizationComputational EfficiencyAmazon SageMaker DebuggerResource-Constrained ML - Question #282Modeling
A data scientist wants to improve the fit of a machine learning (ML) model that predicts house prices. The data scientist makes a first attempt to fit the model, but the fitted mod...
Model UnderfittingRegularizationFeature EngineeringModel Tuning - Question #283Modeling
A car company is developing a machine learning solution to detect whether a car is present in an image. The image dataset consists of one million images. Each image in the dataset...
Convolutional Neural Networks (CNNs)Image ClassificationNeural Network ArchitecturesDeep Learning - Question #284ML Implementation and Operations
A company is creating an application to identify, count, and classify animal images that are uploaded to the company's website. The company is using the Amazon SageMaker image clas...
SageMakerTransfer LearningImage ClassificationPipe Mode - Question #285Machine Learning Implementation and Operations
A music streaming company is building a pipeline to extract features. The company wants to store the features for offline model training and online inference. The company wants to...
Feature StoreMLOpsFeature EngineeringSageMaker - Question #286Modeling
A beauty supply store wants to understand some characteristics of visitors to the store. The store has security video recordings from the past several years. The store wants to gen...
Object DetectionSemantic SegmentationComputer VisionML Model Selection - Question #287Machine Learning Implementation and Operations
A financial services company wants to automate its loan approval process by building a machine learning (ML) model. Each loan data point contains credit history from a third-party...
Machine Learning ExplainabilityAmazon SageMaker ClarifyModel InterpretabilityMLOps - Question #288ML Implementation and Operations
A financial company sends special offers to customers through weekly email campaigns. A bulk email marketing system takes the list of email addresses as an input and sends the mark...
Recommendation SystemsCollaborative FilteringAmazon SageMakerOperational Efficiency - Question #289Data Engineering
A social media company wants to develop a machine learning (ML) model to detect inappropriate or offensive content in images. The company has collected a large dataset of labeled i...
Data PreparationSageMaker Built-in AlgorithmsSageMaker Pipe ModeImage Classification - Question #290ML Implementation and Operations
A media company wants to create a solution that identifies celebrities in pictures that users upload. The company also wants to identify the IP address and the timestamp details fr...
Amazon RekognitionAWS CloudTrailCelebrity DetectionSecurity Logging - Question #291Modeling
A pharmaceutical company performs periodic audits of clinical trial sites to quickly resolve critical findings. The company stores audit documents in text format. Auditors have req...
Topic ModelingNatural Language Processing (NLP)Unsupervised LearningLatent Dirichlet Allocation (LDA) - Question #292Machine Learning Implementation and Operations
A company needs to deploy a chatbot to answer common questions from customers. The chatbot must base its answers on company documentation. Which solution will meet these requiremen...
Amazon KendraChatbotsQuestion AnsweringManaged Services - Question #293Data Engineering
A company hosts a machine learning (ML) dataset repository on Amazon S3. A data scientist is preparing the repository to train a model. The data scientist needs to redact personall...
Data PreparationPII RedactionAWS Glue DataBrewNo-code/Low-code - Question #294Machine Learning Implementation and Operations
A company is deploying a new machine learning (ML) model in a production environment. The company is concerned that the ML model will drift over time, so the company creates a scri...
S3 Storage ClassesCost OptimizationData DurabilityML Model Monitoring - Question #295ML Implementation and Operations
A company wants to enhance audits for its machine learning (ML) systems. The auditing system must be able to perform metadata analysis on the features that the ML models use. The a...
SageMaker Feature StoreMetadata ManagementMLOpsData Governance - Question #296ML Implementation and Operations
A machine learning (ML) specialist uploads a dataset to an Amazon S3 bucket that is protected by server-side encryption with AWS KMS keys (SSE-KMS). The ML specialist needs to ensu...
IAM RolesS3 Access ControlSageMaker SecurityData Access - Question #297ML Implementation and Operations
A company has a podcast platform that has thousands of users. The company implemented an algorithm to detect low podcast engagement based on a 10-minute running window of user even...
Data IngestionStream ProcessingReal-time Data TransformationOperational Efficiency - Question #298Modeling
A machine learning (ML) specialist is training a multilayer perceptron (MLP) on a dataset with multiple classes. The target class of interest is unique compared to the other classe...
Class ImbalanceRecall MetricMultilayer PerceptronModel Optimization - Question #299Exploratory Data Analysis
A machine learning (ML) specialist uploads 5 TB of data to an Amazon SageMaker Studio environment. The ML specialist performs initial data cleansing. Before the ML specialist begin...
SageMakerData Bias DetectionData PreparationExploratory Data Analysis - Question #300Data Engineering
A network security vendor needs to ingest telemetry data from thousands of endpoints that run all over the world. The data is transmitted every 30 seconds in the form of records th...
Kinesis Data AnalyticsStreaming Data ProcessingData AggregationServerless Querying - Question #301Modeling
A medical device company is building a machine learning (ML) model to predict the likelihood of device recall based on customer data that the company collects from a plain text sur...
Feature EngineeringCategorical EncodingData CleaningAmazon SageMaker - Question #302Machine Learning Implementation and Operations
A machine learning (ML) engineer has created a feature repository in Amazon SageMaker Feature Store for the company. The company has AWS accounts for development, integration, and...
Cross-account accessSageMaker Feature StoreIAM rolesData sharing - Question #303Modeling
A company is building a new supervised classification model in an AWS environment. The company's data science team notices that the dataset has a large quantity of variables. All t...
Dimensionality ReductionPCAModel PerformanceLatency Optimization - Question #304Modeling
An exercise analytics company wants to predict running speeds for its customers by using a dataset that contains multiple health-related features for each customer. Some of the fea...
OverfittingRegularizationL1 RegularizationFeature Selection - Question #305Modeling
A company's machine learning (ML) specialist is building a computer vision model to classify 10 different traffic signs. The company has stored 100 images of each class in Amazon S...
OverfittingData AugmentationData LabelingComputer Vision - Question #306Machine Learning Implementation and Operations
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 fea...
Feature EngineeringData TransformationMLOpsAmazon SageMaker Data Wrangler - Question #307Machine Learning Implementation and Operations
A company plans to build a custom natural language processing (NLP) model to classify and prioritize user feedback. The company hosts the data and all machine learning (ML) infrast...
AWS NetworkingVPC Interface EndpointAmazon SageMakerPrivate Connectivity - Question #308Machine Learning Implementation and Operations
A data scientist is using Amazon Comprehend to perform sentiment analysis on a dataset of one million social media posts. Which approach will process the dataset in the LEAST time?
Amazon ComprehendBatch ProcessingAWS Step FunctionsAPI Limits & Optimization