MLS-C01 Exam Questions
388 real MLS-C01 exam questions with expert-verified answers and explanations. Page 4 of 8.
- Question #151Modeling
A Machine Learning Specialist is training a model using a supervised learning algorithm. The Specialist split the dataset to use 80% of the data for training and reserved 20% of th...
OverfittingModel EvaluationTrain-Test Split - Question #152Exploratory Data Analysis
A Machine Learning Specialist is developing a regression model to predict ticket sales for an upcoming concert. The historical ticket sales data consists of more than 1,000 records...
Outlier HandlingMissing Data ImputationData Preprocessing - Question #153Modeling
A Machine Learning Specialist is developing a mode that classifies defective parts from a manufacturing process into one of eight defect types. The training data consists of 100,00...
Model evaluation metricsBias-variance tradeoffData augmentationUnderfitting - Question #154Modeling
A company has a 1,000 sentences with sentiments categorized as positive, neutral, or negative. Which modeling technique should a Machine Learing Specialist select for training a ba...
Sentiment analysisMulti-class classificationLogistic regressionBaseline modeling - Question #155Modeling
A Data Scientist is working on a predictive maintenance mode and received a company's dataset with 500,000 measurements of machine behavior during both normal operations and failur...
Class Imbalance HandlingData PreprocessingOversampling TechniquesData Acquisition Strategy - Question #156Modeling
A digital newspaper owns a large collection of articles and human-written associated article summaries. The summaries are used as headers for each article posted online, and the ne...
Text SummarizationSeq2seq ModelsRecurrent Neural NetworksNatural Language Processing - Question #157Modeling
A machine learning model performed well during experiments, but immediately failed to generalize when placed in a production environment. What should a Machine Learning Specialist...
OverfittingGeneralizationRegularizationModel performance - Question #158Data Engineering
A company needs to quickly make sense of a large amount of data and gain insight from it. The data is in different formats, the schemas change frequently, and new data sources are...
AWS GlueETLServerlessSchema Inference - Question #159Data Engineering
A company is converting a large number of unstructured paper receipts into images. The company wants to create a model based on natural language processing (NLP) to find relevant e...
Document ProcessingOCREntity ExtractionAmazon Textract - Question #160ML Implementation and Operations
A company is building a predictive maintenance model based on machine learning (ML). The data is stored in a fully private Amazon S3 bucket that is encrypted at rest with AWS Key M...
IAM PermissionsSageMaker ProcessingS3 Data AccessML Workflow Security - Question #161Machine Learning Implementation and Operations
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 soft...
SageMaker Notebook InstanceSoftware UpdatesInstance ManagementSecurity Updates - Question #162ML Implementation and Operations
A library is developing an automatic book-borrowing system that uses Amazon Rekognition. Images of library members' faces are stored in an Amazon S3 bucket. When members borrow boo...
Amazon RekognitionData SecurityEncryption at RestAmazon S3 - Question #163Machine Learning Implementation and Operations
A company is building a line-counting application for use in a quick-service restaurant. The company wants to use video cameras pointed at the line of customers at a given register...
Edge computingAWS DeepLensML InferenceBandwidth constraints - Question #164ML Implementation and Operations
A company has set up and deployed its machine learning (ML) model into production with an endpoint using Amazon SageMaker hosting services. The ML team has configured automatic sca...
SageMaker Auto ScalingML Model DeploymentEndpoint ScalingCooldown Period - Question #165Machine Learning Implementation and Operations
A telecommunications company is developing a mobile app for its customers. The company is using an Amazon SageMaker hosted endpoint for machine learning model inferences. Developer...
SageMaker EndpointsA/B TestingCanary DeploymentModel Deployment - Question #166Modeling
A company offers an online shopping service to its customers. The company wants to enhance the site's security by requesting additional information when customers access the site f...
Anomaly DetectionAmazon SageMaker IP InsightsSecurityMachine Learning Algorithms - Question #167Data Engineering
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 differe...
Data IntegrationData QualityAWS Lake FormationRecord Matching - Question #168Machine Learning Implementation and Operations
A company provisions Amazon SageMaker notebook instances for its data science team and creates Amazon VPC interface endpoints to ensure communication between the VPC and the notebo...
SageMaker Notebook SecurityIAM Access ControlVPC NetworkingPrivate Connectivity - Question #169ML Implementation and Operations
A company will use Amazon SageMaker to train and host a machine learning (ML) model for a marketing campaign. The majority of data is sensitive customer data. The data must be encr...
AWS KMSData EncryptionSageMaker SecurityKey Management - Question #170Data Engineering
A machine learning specialist stores IoT soil sensor data in Amazon DynamoDB table and stores weather event data as JSON files in Amazon S3. The dataset in DynamoDB is 10 GB in siz...
AWS GlueData CatalogData IngestionSageMaker Data Prep - Question #171Machine Learning Implementation and Operations
A company sells thousands of products on a public website and wants to automatically identify products with potential durability problems. The company has 1.000 reviews with date,...
Text ClassificationAmazon SageMakerBuilt-in AlgorithmsRapid Prototyping - Question #172Machine Learning Implementation and Operations
A company that runs an online library is implementing a chatbot using Amazon Lex to provide book recommendations based on category. This intent is fulfilled by an AWS Lambda functi...
Amazon LexSlot TypesNatural Language Understanding (NLU)Synonyms - Question #173Machine Learning Implementation and Operations
A manufacturing company uses machine learning (ML) models to detect quality issues. The models use images that are taken of the company's product at the end of each production step...
AWS IoT GreengrassEdge ML InferenceBandwidth OptimizationLatency Reduction - Question #174Machine Learning Implementation and Operations
A data scientist is using an Amazon SageMaker notebook instance and needs to securely access data stored in a specific Amazon S3 bucket. How should the data scientist accomplish th...
IAM RolesS3 AccessSageMaker SecurityAccess Control - Question #175Machine Learning Implementation and Operations
A company is launching a new product and needs to build a mechanism to monitor comments about the company and its new product on social media. The company needs to be able to evalu...
Sentiment AnalysisAmazon ComprehendServerless ArchitectureS3 Events - Question #176Machine Learning Implementation and Operations
A bank wants to launch a low-rate credit promotion. The bank is located in a town that recently experienced economic hardship. Only some of the bank's customers were affected by th...
Model ExplainabilitySageMaker StudioMLOpsModel Interpretability - Question #177Machine Learning Implementation and Operations
A data science team is planning to build a natural language processing (NLP) application. The application's text preprocessing stage will include part-of-speech tagging and key pha...
Natural Language ProcessingAmazon ComprehendCustom ClassificationText Preprocessing - Question #178Modeling
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...
Feature EngineeringDimensionality ReductionPCAMulticollinearity - Question #179Modeling
A manufacturing company asks its machine learning specialist to develop a model that classifies defective parts into one of eight defect types. The company has provided roughly 100...
OverfittingRegularizationModel EvaluationImage Classification - Question #180Modeling
A machine learning specialist needs to analyze comments on a news website with users across the globe. The specialist must find the most discussed topics in the comments that are i...
Machine TranslationNatural Language ProcessingAmazon SageMakerSeq2Seq Models - Question #181Machine Learning Implementation and Operations
A machine learning (ML) specialist is administering a production Amazon SageMaker endpoint with model monitoring configured. Amazon SageMaker Model Monitor detects violations on th...
SageMaker Model MonitorModel baselineModel drift detectionMLOps troubleshooting - Question #182Data Engineering
A company supplies wholesale clothing to thousands of retail stores. A data scientist must create a model that predicts the daily sales volume for each item for each store. The dat...
Time Series ForecastingData GranularitySeasonalityData Preprocessing - Question #183Modeling
An ecommerce company is automating the categorization of its products based on images. A data scientist has trained a computer vision model using the Amazon SageMaker image classif...
Image ClassificationData AugmentationAmazon RekognitionModel Improvement - Question #184Modeling
A data scientist is training a text classification model by using the Amazon SageMaker built-in BlazingText algorithm. There are 5 classes in the dataset, with 300 samples for cate...
Text ClassificationModel EvaluationConfusion MatrixClass Similarity - Question #185Modeling
A company that manufactures mobile devices wants to determine and calibrate the appropriate sales price for its devices. The company is collecting the relevant data and is determin...
Feature SelectionExploratory Data AnalysisMachine Learning ModelsStatistical Methods - Question #186Modeling
A power company wants to forecast future energy consumption for its customers in residential properties and commercial business properties. Historical power consumption data for th...
Amazon ForecastTime Series ForecastingAlgorithm SelectionDeep Learning - Question #187Machine Learning Implementation and Operations
A company wants to use automatic speech recognition (ASR) to transcribe messages that are less than 60 seconds long from a voicemail-style application. The company requires the cor...
Amazon TranscribeASR CustomizationCustom VocabularyManaged ML Services - Question #188ML Implementation and Operations
A company is building a demand forecasting model based on machine learning (ML). In the development stage, an ML specialist uses an Amazon SageMaker notebook to perform feature eng...
Cost OptimizationAmazon SageMaker NotebooksRight-sizingStopping Idle Resources - Question #189Modeling
A machine learning specialist is developing a regression model to predict rental rates from rental listings. A variable named Wall_Color represents the most prominent exterior wall...
Feature EngineeringCategorical Data EncodingRegression ModelsOne-Hot Encoding - Question #190Modeling
A data scientist is working on a public sector project for an urban traffic system. While studying the traffic patterns, it is clear to the data scientist that the traffic behavior...
Correlated EquilibriumGame TheoryMulti-agent SystemsTraffic Optimization - Question #191Modeling
A data scientist is using the Amazon SageMaker Neural Topic Model (NTM) algorithm to build a model that recommends tags from blog posts. The raw blog post data is stored in an Amaz...
Text PreprocessingStopword RemovalNeural Topic Model (NTM)CountVectorizer - Question #192Data Engineering
A company wants to create a data repository in the AWS Cloud for machine learning (ML) projects. The company wants to use AWS to perform complete ML lifecycles and wants to use Ama...
Data IngestionAWS DataSyncOn-premises Data TransferS3 Data Lake - Question #193ML Implementation and Operations
A company has video feeds and images of a subway train station. The company wants to create a deep learning model that will alert the station manager if any passenger crosses the y...
Computer VisionData LabelingAWS Rekognition Custom LabelsModel Improvement - Question #194Modeling
A data engineer at a bank is evaluating a new tabular dataset that includes customer data. The data engineer will use the customer data to create a new model to predict customer be...
Feature PreprocessingMulticollinearityDimensionality ReductionPrincipal Component Analysis - Question #195Data Engineering
A company is building a new version of a recommendation engine. Machine learning (ML) specialists need to keep adding new data from users to improve personalized recommendations. T...
AWS GlueETLBig DataServerless Architecture - Question #196Data Engineering
A retail company is selling products through a global online marketplace. The company wants to use machine learning (ML) to analyze customer feedback and identify specific areas fo...
Data AugmentationCustomer Feedback AnalysisTextual Data SourcesData Sourcing - Question #197Machine Learning Implementation and Operations
A machine learning (ML) specialist wants to create a data preparation job that uses a PySpark script with complex window aggregation operations to create data for training and test...
SageMaker ExperimentsExperiment TrackingData TransformationModel Evaluation - Question #198Machine Learning Implementation and Operations
A data scientist has a dataset of machine part images stored in Amazon Elastic File System (Amazon EFS). The data scientist needs to use Amazon SageMaker to create and train an ima...
SageMaker TrainingEFS IntegrationData Input ChannelsML Workflow - Question #199Machine Learning Implementation and Operations
A retail company uses a machine learning (ML) model for daily sales forecasting. The company's brand manager reports that the model has provided inaccurate results for the past 3 w...
Model MonitoringData VisualizationModel Evaluation MetricsSageMaker Studio - Question #200Modeling
An ecommerce company sends a weekly email newsletter to all of its customers. Management has hired a team of writers to create additional targeted content. A data scientist needs t...
Supervised LearningUnsupervised LearningClusteringAlgorithm Selection