MLA-C01 Exam Questions
222 real MLA-C01 exam questions with expert-verified answers and explanations. Page 5 of 5.
- Question #215ML Solution Monitoring, Maintenance, and Security
An ML engineer at an insurance company trains a regression model to predict the number of insurance policy sales each month. After training the model, the ML engineer uses Amazon S...
Data DriftModel MonitoringSageMakerProduction ML - Question #216Deployment and Orchestration of ML Workflows
A company is developing an internal cost-estimation tool that uses an ML model in Amazon SageMaker AI. Users upload high-resolution images to the tool. The model must process each...
SageMaker Real-time InferenceAmazon S3Event-Driven MLML Workflow Orchestration - Question #217Deployment and Orchestration of ML Workflows
A healthcare company uses an Amazon SageMaker AI endpoint to host a model that predicts patient readmission risk to hospitals. The company wants to predict patient readmissions wit...
Model EvaluationDeployment StrategiesPerformance MonitoringBusiness Requirements - Question #220Deployment and Orchestration of ML Workflows
An airline company uses an ML model to adjust ticket prices based on demand. The model runs on Amazon SageMaker real-time endpoints. During previous deployments, the model failed t...
SageMaker EndpointsAuto ScalingTarget Tracking Scaling PoliciesPerformance Tuning - Question #221Data Preparation for Machine Learning
An ML engineer is collecting data to train a classification ML model by using Amazon SageMaker AI. The target column can have two possible values: Class A or Class B. The ML engine...
Class ImbalanceSageMaker ClarifyData PreprocessingBias Detection - Question #222Data Preparation for Machine Learning
An ML engineer is building a logistic regression model to predict customer churn for subscription services. The ML engineer is using a dataset that contains two string variables: l...
Data PreprocessingCategorical EncodingOne-Hot EncodingOrdinal Encoding - Question #224Deployment and Orchestration of ML Workflows
A company needs to deploy a custom-trained classification ML model on AWS. The model must make near real-time predictions with low latency and must handle variable request volumes....
SageMaker EndpointsReal-time InferenceAuto ScalingModel Deployment - Question #225ML Model Development
A company runs a neural network model and retrains the model when the performance degrades. The company uses a training job that uses Amazon SageMaker AI distributed data paralleli...
Distributed TrainingAmazon SageMakerPerformance OptimizationNeural Networks - Question #226ML Model Development
An ML engineer decides to use Amazon SageMaker AI automated model tuning (AMT) for hyperparameter optimization (HPO). The ML engineer requires a tuning strategy that uses regressio...
Hyperparameter OptimizationAutomated Model TuningBayesian OptimizationSageMaker - Question #227ML Model Development
A healthcare company wants to detect irregularities in patient vital signs that could indicate early signs of a medical condition. The company has an unlabeled dataset that include...
Anomaly DetectionUnsupervised LearningAmazon SageMaker RCFML Algorithms - Question #228Data Preparation for Machine Learning
A company is training an image classification model on Amazon SageMaker AI to differentiate between images of cats and dogs. The company is using images from a third-party source....
SageMaker ClarifyClass ImbalanceBias DetectionDataset Balancing - Question #229ML Model Development
An ML engineer at an entertainment company is refining an ML model to predict audience preferences. As the model learns from data, the ML engineer notices that the model's performa...
Early stoppingOverfittingModel trainingRegularization techniques - Question #230Data Preparation for Machine Learning
An ML engineer is tuning an image classification model that shows poor performance on one of two available classes during prediction. Analysis reveals that the images whose class t...
Class ImbalanceImage AugmentationF1 ScoreModel Evaluation Metrics - Question #231ML Model Development
A healthcare analytics company wants to segment patients into groups that have similar risk factors to develop personalized treatment plans. The company has a dataset that includes...
ClusteringUnsupervised LearningK-meansHyperparameters - Question #232Data Preparation for Machine Learning
An ML engineer needs to develop an AI assistant by using Retrieval Augmented Generation (RAG) in Amazon Bedrock. The company stores a collection of PDF text files in an Amazon S3 b...
RAGAmazon Bedrock Knowledge BasesDocument EmbeddingVector Store - Question #233Data Preparation for Machine Learning
An ML engineer needs to build a processing pipeline to identify and remove personally identifiable information (PII) from petabytes of unstructured data. The ML engineer will use t...
PII detectionData preprocessingBig dataAWS Glue - Question #234ML Solution Monitoring, Maintenance, and Security
A company develops a recommendation model and hosts the model on an Amazon SageMaker AI endpoint. The model uses the SageMaker AI endpoint to perform near real-time inference to de...
Model MonitoringData Drift DetectionSageMaker Model MonitorSageMaker Clarify - Question #235Data Preparation for Machine Learning
A company is using Amazon SageMaker AI to create a classification model to categorize the company's sales performance for each month of the previous 20 years on a scale from 1 to 5...
Data SplittingStratified SamplingValidation AccuracyCategorical Features - Question #236Data Preparation for Machine Learning
A company is creating an ML model to identify defects in a product. The company has gathered a dataset and has stored the dataset in TIFF format in Amazon S3. The dataset contains...
Class ImbalanceOversampling TechniquesDataset BalancingModel Performance Improvement - Question #237Data Preparation for Machine Learning
An ML engineer is building an ML model in Amazon SageMaker AI. The ML engineer needs to load historical data directly from Amazon S3, Amazon Athena, and Snowflake into SageMaker AI...
SageMaker Data WranglerData IngestionMulti-source Data LoadingData Preparation - Question #238Data Preparation for Machine Learning
An ML engineer has developed a custom scikit-learn script to transform tabular data to train a regression model. The ML engineer wants to use Amazon SageMaker AI to prepare data an...
SageMaker ProcessingScikit-learnData TransformationSageMaker Python SDK - Question #240Deployment and Orchestration of ML Workflows
A company is developing an application that reads animal descriptions from user prompts and generates images based on the information from the prompts. The application reads a mess...
IAM PermissionsAmazon SQSAmazon BedrockGenerative AI