Free AWS MLS-C01 Practice Questions & Answers 2026 Part3

Question #1

A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket. The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance.Which approach allows the Specialist to use all the data to train the model?

A. Load a smaller subset of the data into the SageMaker notebook and train locally

B. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to the instance

C. Use AWS Glue to train a model using a small subset of the data to confirm that the data will be compatible with Amazon SageMaker

D. Load a smaller subset of the data into the SageMaker notebook and train locally

View answer

Correct Answer: A

Question #2

[Modeling]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 customers that customers are more likely to want to purchase.Which solution will meet this requirement in the SHORTEST amount of time?

A. Host the company's website on Amazon EC2 Accelerated Computing instances to increase the website response speed

B. Host the company's website on Amazon EC2 GPU-based instances to increase the speed of the website's search tool

C. Integrate Amazon Personalize into the company's website to provide customers with personalized recommendations

D. Use Amazon SageMaker to train a Neural Collaborative Filtering (NCF) model to make product recommendations

View answer

Correct Answer: C

Question #3

A Machine Learning Specialist is training a model to identify the make and model of vehicles in images. The Specialist wants to use transfer learning and an existing model trained on images of general objects. The Specialist collated a large custom dataset of pictures containing different vehicle makes and models.What should the Specialist do to initialize the model to re-train it with the custom data?

A. Initialize the model with random weights in all layers including the last fully connected layer

B. Initialize the model with pre-trained weights in all layers and replace the last fully connected layer

C. Initialize the model with random weights in all layers and replace the last fully connected layer

D. Initialize the model with pre-trained weights in all layers including the last fully connected layer

View answer

Correct Answer: B

Question #4

The displayed graph is from a forecasting model for testing a time series.Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?

A. The model predicts both the trend and the seasonality well

B. The model predicts the trend well, but not the seasonality

C. The model predicts the seasonality well, but not the trend

D. The model does not predict the trend or the seasonality well

View answer

Correct Answer: A

Question #5

A Data Science team within a large company uses Amazon SageMaker notebooks to access data stored in Amazon S3 buckets. The IT Security team is concerned that internet-enabled notebook instances create a security vulnerability where malicious code running on the instances could compromise data privacy.The company mandates that all instances stay within a secured VPC with no internet access, and data communication traffic must stay within the AWS network.How should the Data Science team configure the notebook instance placement to meet these requirements?

A. ssociate the Amazon SageMaker notebook with a private subnet in a VPC

B. ssociate the Amazon SageMaker notebook with a private subnet in a VPC

C. ssociate the Amazon SageMaker notebook with a private subnet in a VPC

D. ssociate the Amazon SageMaker notebook with a private subnet in a VPC

View answer

Correct Answer: C

Question #6

An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.What should the Specialist do to meet these requirements?

A. Create one-hot word encoding vectors

B. Produce a set of synonyms for every word using Amazon Mechanical Turk

C. Create word embedding vectors that store edit distance with every other word

D. Download word embeddings pre-trained on a large corpus

View answer

Correct Answer: D

Question #7

A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet.How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?

A. Create a NAT gateway within the corporate VPC

B. Route Amazon SageMaker traffic through an on-premises network

C. Create Amazon SageMaker VPC interface endpoints within the corporate VP

D. Create VPC peering with Amazon VPC hosting Amazon SageMaker

View answer

Correct Answer: C

Question #8

A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.Based on this information, which model would have the HIGHEST recall with respect to the fraudulent class?

A. aive Bayesian classifier

B. inear support vector machine (SVM)

C. ecision tree

D. ingle Perceptron with sigmoidal activation function

View answer

Correct Answer: C

Question #9

A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet.How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?

A. Create a NAT gateway within the corporate VPC

B. Route Amazon SageMaker traffic through an on-premises network

C. Create Amazon SageMaker VPC interface endpoints within the corporate VP

D. Create VPC peering with Amazon VPC hosting Amazon SageMaker

View answer

Correct Answer: C

Question #10

A company uses sensors on devices such as motor engines and factory machines to measure parameters, temperature and pressure. The company wants to use the sensor data to predict equipment malfunctions and reduce services outages.The Machine learning (ML) specialist needs to gather the sensors data to train a model to predict device malfunctions The ML spoctafst must ensure that the data does not contain outliers before training the ..el.What can the ML specialist meet these requirements with the LEAST operational overhead?

A. oad the data into an Amazon SagcMaker Studio notebook

B. se an Amazon SageMaker Data Wrangler anomaly detection visualization to find outliers in the dataset

C. se an Amazon SageMaker Data Wrangler bias report to find outliers in the dataset Use a Data Wrangler data flow to remove outliers based on the bias report

D. se Amazon Lookout for Equipment to find and remove outliers from the dataset

View answer

Correct Answer: B

Question #11

A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?

A. Receiver operating characteristic (ROC) curve

B. Misclassification rate

C. Root Mean Square Error (RMSE)

D. L1 norm

View answer

Correct Answer: A

Question #12

A company wants to conduct targeted marketing to sell solar panels to homeowners. The company wants to use machine learning (ML) technologies to identify which houses already have solar panels. The company has collected 8,000 satellite images as training data and will use Amazon SageMaker Ground Truth to label the data.The company has a small internal team that is working on the project. The internal team has no ML expertise and no ML experience.Which solution will meet these requirements with the LEAST amount of effort from the internal team?

A. et up a private workforce that consists of the internal team

B. et up a private workforce that consists of the internal team

C. et up a private workforce that consists of the internal team

D. et up a public workforce

View answer

Correct Answer: B

Question #13

A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet.How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?

A. Create a NAT gateway within the corporate VPC

B. Route Amazon SageMaker traffic through an on-premises network

C. Create Amazon SageMaker VPC interface endpoints within the corporate VP

D. Create VPC peering with Amazon VPC hosting Amazon SageMaker

View answer

Correct Answer: C

Question #14

A Machine Learning Specialist is training a model to identify the make and model of vehicles in images. The Specialist wants to use transfer learning and an existing model trained on images of general objects. The Specialist collated a large custom dataset of pictures containing different vehicle makes and models.What should the Specialist do to initialize the model to re-train it with the custom data?

A. Initialize the model with random weights in all layers including the last fully connected layer

B. Initialize the model with pre-trained weights in all layers and replace the last fully connected layer

C. Initialize the model with random weights in all layers and replace the last fully connected layer

D. Initialize the model with pre-trained weights in all layers including the last fully connected layer

View answer

Correct Answer: B

Question #15

A Machine Learning Specialist is designing a system for improving sales for a company. The objective is to use the large amount of information the company hason users' behavior and product preferences to predict which products users would like based on the users' similarity to other users.What should the Specialist do to meet this objective?

A. Build a content-based filtering recommendation engine with Apache Spark ML on Amazon EMR

B. Build a collaborative filtering recommendation engine with Apache Spark ML on Amazon EMR

C. Build a model-based filtering recommendation engine with Apache Spark ML on Amazon EMR

D. Build a combinative filtering recommendation engine with Apache Spark ML on Amazon EMR

View answer

Correct Answer: B

Question #16

A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet.How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?

A. Create a NAT gateway within the corporate VPC

B. Route Amazon SageMaker traffic through an on-premises network

C. Create Amazon SageMaker VPC interface endpoints within the corporate VP

D. Create VPC peering with Amazon VPC hosting Amazon SageMaker

View answer

Correct Answer: C

Question #17

A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers. Currently, the company has the following data in Amazon Aurora:•Profiles for all past and existing customers•Profiles for all past and existing insured pets•Policy-level information•Premiums received•Claims paidWhat steps should be taken to implement a machine learning model to identify potential new customers on social media?

A. Use regression on customer profile data to understand key characteristics of consumer segments

B. Use clustering on customer profile data to understand key characteristics of consumer segments

C. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments

D. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments

View answer

Correct Answer: C

Question #18

A Machine Learning Specialist is working with a large company to leverage machine learning within its products. The company wants to group its customers into categories based on which customers will and will not churn within the next 6 months. The company has labeled the data available to the Specialist.Which machine learning model type should the Specialist use to accomplish this task?

A. Linear regression

B. Classification

C. Clustering

D. Reinforcement learning

View answer

Correct Answer: B

Question #19

A Machine Learning Specialist at a company sensitive to security is preparing a dataset for model training. The dataset is stored in Amazon S3 and contains Personally Identifiable Information (PII).The dataset:•Must be accessible from a VPC only.•Must not traverse the public internet.How can these requirements be satisfied?

A. Create a VPC endpoint and apply a bucket access policy that restricts access to the given VPC endpoint and the VPC

B. Create a VPC endpoint and apply a bucket access policy that allows access from the given VPC endpoint and an Amazon EC2 instance

C. Create a VPC endpoint and use Network Access Control Lists (NACLs) to allow traffic between only the given VPC endpoint and an Amazon EC2 instance

D. Create a VPC endpoint and use security groups to restrict access to the given VPC endpoint and an Amazon EC2 instance

View answer

Correct Answer: A

Question #20

A Machine Learning Specialist is creating a new natural language processing application that processes a dataset comprised of 1 million sentences. The aim is to then run Word2Vec to generate embeddings of the sentences and enable different types of predictions.Here is an example from the dataset:"The quck BROWN FOX jumps over the lazy dog.”Which of the following are the operations the Specialist needs to perform to correctly sanitize and prepare the data in a repeatable manner? (Choose three.)

A. Perform part-of-speech tagging and keep the action verb and the nouns only

B. Normalize all words by making the sentence lowercase

C. Remove stop words using an English stopword dictionary

D. Correct the typography on "quck" to "quick

E. One-hot encode all words in the sentence

F. Tokenize the sentence into words

View answer

Correct Answer: BCF

Question #21

A company deployed a machine learning (ML) model on the company website to predict real estate prices.Several months after deployment, an ML engineer notices that the accuracy of the model has gradually decreased.The ML engineer needs to improve the accuracy of the model. The engineer also needs to receive notifications for any future performance issues.Which solution will meet these requirements?

A. erform incremental training to update the model

B. se Amazon SageMaker Debugger with appropriate thresholds

C. se Amazon SageMaker Model Governance

D. se only data from the previous several months to perform incremental training to update the model

View answer

Correct Answer: A

Question #22

A Machine Learning Specialist built an image classification deep learning model. However, the Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and 75%, respectively.How should the Specialist address this issue and what is the reason behind it?

A. The learning rate should be increased because the optimization process was trapped at a local minimum

B. The dropout rate at the flatten layer should be increased because the model is not generalized enough

C. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough

D. The epoch number should be increased because the optimization process was terminated before it reached the global minimum

View answer

Correct Answer: B

Question #23

A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet.How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?

A. Create a NAT gateway within the corporate VPC

B. Route Amazon SageMaker traffic through an on-premises network

C. Create Amazon SageMaker VPC interface endpoints within the corporate VP

D. Create VPC peering with Amazon VPC hosting Amazon SageMaker

View answer

Correct Answer: C

Question #24

A Machine Learning Specialist is building a prediction model for a large number of features using linear models, such as linear regression and logistic regression. During exploratory data analysis, the Specialist observes that many features are highly correlated with each other. This may make the model unstable.What should be done to reduce the impact of having such a large number of features?

A. Perform one-hot encoding on highly correlated features

B. Use matrix multiplication on highly correlated features

C. Create a new feature space using principal component analysis (PCA)

D. Apply the Pearson correlation coefficient

View answer

Correct Answer: C

Question #25

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real timeWhich solution should the agency consider?

A. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream

B. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream

C. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera

D. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera

View answer

Correct Answer: A

Question #26

A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data.Which solution requires the LEAST effort to be able to query this data?

A. Use AWS Data Pipeline to transform the data and Amazon RDS to run queries

B. Use AWS Glue to catalogue the data and Amazon Athena to run queries

C. Use AWS Batch to run ETL on the data and Amazon Aurora to run the queries

D. Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries

View answer

Correct Answer: B

Question #27

An employee found a video clip with audio on a company's social media feed. The language used in the video is Spanish. English is the employee's first language, and they do not understand Spanish. The employee wants to do a sentiment analysis.What combination of services is the MOST efficient to accomplish the task?

A. Amazon Transcribe, Amazon Translate, and Amazon Comprehend

B. Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker seq2seq

C. Amazon Transcribe, Amazon Translate, and Amazon SageMaker Neural Topic Model (NTM)

D. Amazon Transcribe, Amazon Translate and Amazon SageMaker BlazingText

View answer

Correct Answer: A

Question #28

A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers. Currently, the company has the following data in Amazon Aurora:•Profiles for all past and existing customers•Profiles for all past and existing insured pets•Policy-level information•Premiums received•Claims paidWhat steps should be taken to implement a machine learning model to identify potential new customers on social media?

A. Use regression on customer profile data to understand key characteristics of consumer segments

B. Use clustering on customer profile data to understand key characteristics of consumer segments

C. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments

D. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments

View answer

Correct Answer: C

Question #29

A Machine Learning Specialist is building a prediction model for a large number of features using linear models, such as linear regression and logistic regression.During exploratory data analysis, the Specialist observes that many features are highly correlated with each other. This may make the model unstable.What should be done to reduce the impact of having such a large number of features?

A. erform one-hot encoding on highly correlated features

B. se matrix multiplication on highly correlated features

C. reate a new feature space using principal component analysis (PCA)

D. pply the Pearson correlation coefficient

View answer

Correct Answer: C

Question #30

A Machine Learning Specialist has completed a proof of concept for a company using a small data sample and now the Specialist is ready to implement an end - to - end solution in AWS using Amazon SageMaker The historical training data is stored in Amazon RDS Which approach should the Specialist use for training a model using that data?

A. Write a direct connection to the SQL database within the notebook and pull data in

B. Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location within the notebook

C. Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in

D. Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in for fast access

View answer

Correct Answer: B

Question #31

A Machine Learning Specialist is configuring Amazon SageMaker so multiple Data Scientists can access notebooks, train models, and deploy endpoints. To ensure the best operational performance, the Specialist needs to be able to track how often the Scientists are deploying models, GPU and CPU utilization on the deployed SageMaker endpoints, and all errors that are generated when an endpoint is invoked.Which services are integrated with Amazon SageMaker to track this information? (Choose two.)

A. AWS CloudTrail

B. AWS Health

C. AWS Trusted Advisor

D. Amazon CloudWatch

E. AWS Config

View answer

Correct Answer: AD

Question #32

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real timeWhich solution should the agency consider?

A. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream

B. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream

C. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera

D. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera

View answer

Correct Answer: A

Question #33

A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private subnet of a corporate VPC. The ML Specialist has important data stored on the Amazon SageMaker notebook instance's Amazon EBS volume, and needs to take a snapshot of that EBS volume. However, the ML Specialist cannot find the Amazon SageMaker notebook instance’s EBS volume or Amazon EC2 instance within the VPC.Why is the ML Specialist not seeing the instance visible in the VPC?

A. Amazon SageMaker notebook instances are based on the EC2 instances within the customer account, but they run outside of VPCs

B. Amazon SageMaker notebook instances are based on the Amazon ECS service within customer accounts

C. Amazon SageMaker notebook instances are based on EC2 instances running within AWS service accounts

D. Amazon SageMaker notebook instances are based on AWS ECS instances running within AWS service accounts

View answer

Correct Answer: C

Question #34

A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers. Currently, the company has the following data in Amazon Aurora:•Profiles for all past and existing customers•Profiles for all past and existing insured pets•Policy-level information•Premiums received•Claims paidWhat steps should be taken to implement a machine learning model to identify potential new customers on social media?

A. Use regression on customer profile data to understand key characteristics of consumer segments

B. Use clustering on customer profile data to understand key characteristics of consumer segments

C. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments

D. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments

View answer

Correct Answer: C

Question #35

A Mobile Network Operator is building an analytics platform to analyze and optimize a company's operations using Amazon Athena and Amazon S3.The source systems send data in .CSV format in real time. The Data Engineering team wants to transform the data to the Apache Parquet format before storing it on Amazon S3.Which solution takes the LEAST effort to implement?

A. Ingest

B. Ingest

C. Ingest

D. Ingest

View answer

Correct Answer: B

Question #36

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real timeWhich solution should the agency consider?

A. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream

B. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream

C. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera

D. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera

View answer

Correct Answer: A

Question #37

A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run querieson this data.Which solution requires the LEAST effort to be able to query this data?

A. Use AWS Data Pipeline to transform the data and Amazon RDS to run queries

B. Use AWS Glue to catalogue the data and Amazon Athena to run queries

C. Use AWS Batch to run ETL on the data and Amazon Aurora to run the queries

D. Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries

View answer

Correct Answer: B

Question #38

A company is setting up a mechanism for data scientists and engineers from different departments to access an Amazon SageMaker Studio domain. Each department has a unique SageMaker Studio domain.The company wants to build a central proxy application that data scientists and engineers can log in to by using their corporate credentials. The proxy application will authenticate users by using the company's existing Identity provider (IdP). The application will then route users to the appropriate SageMaker Studio domain.The company plans to maintain a table in Amazon DynamoDB that contains SageMaker domains for each department.How should the company meet these requirements?

A. se the Amazon SageMaker ListHumanTaskUis API to list all UI URLs

B. se the SageMaker CreateHuman TaskUi API to generate a UI URL

C. se the SageMaker CreatePresignedNotebookInstanceUrl API to generate a presigned URL

D. se the SageMaker CreatePresignedDomainUrl API to generate a presigned URL for each domain according to the DynamoDB table

View answer

Correct Answer: D

Question #39

A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.Which prior probability distribution should the ML Specialist use for this variable?

A. oisson distribution

B. niform distribution

C. ormal distribution

D. inomial distribution

View answer

Correct Answer: A

Question #40

A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:•Real-time analytics•Interactive analytics of historical data•Clickstream analytics•Product recommendationsWhich services should the Specialist use?

A. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real- time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations

B. Amazon Athena as the data catalog: Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for near-real-time data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS Glue to generate personalized product recommendations

C. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations

D. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations

View answer

Correct Answer: A

Question #41

A Machine Learning Specialist is training a model to identify the make and model of vehicles in images. The Specialist wants to use transfer learning and an existing model trained on images of general objects. The Specialist collated a large custom dataset of pictures containing different vehicle makes and models.What should the Specialist do to initialize the model to re-train it with the custom data?

A. Initialize the model with random weights in all layers including the last fully connected layer

B. Initialize the model with pre-trained weights in all layers and replace the last fully connected layer

C. Initialize the model with random weights in all layers and replace the last fully connected layer

D. Initialize the model with pre-trained weights in all layers including the last fully connected layer

View answer

Correct Answer: B

Question #42

A Data Scientist needs to create a serverless ingestion and analytics solution for high-velocity, real-time streaming data.The ingestion process must buffer and convert incoming records from JSON to a query-optimized, columnar format without data loss. The output datastore must be highly available, and Analysts must be able to run SQL queries against the data and connect to existing business intelligence dashboards.Which solution should the Data Scientist build to satisfy the requirements?

A. Create a schema in the AWS Glue Data Catalog of the incoming data format

B. Write each JSON record to a staging location in Amazon S3

C. Write each JSON record to a staging location in Amazon S3

D. Use Amazon Kinesis Data Analytics to ingest the streaming data and perform real-time SQL queries to convert the records to Apache Parquet before delivering to Amazon S3

View answer

Correct Answer: A

Question #43

A Machine Learning Specialist has completed a proof of concept for a company using a small data sample, and now the Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker. The historical training data is stored in Amazon RDS.Which approach should the Specialist use for training a model using that data?

A. Write a direct connection to the SQL database within the notebook and pull data in

B. Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location within the notebook

C. Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in

D. Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in for fast access

View answer

Correct Answer: B

Question #44

A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers. Currently, the company has the following data in Amazon Aurora:•Profiles for all past and existing customers•Profiles for all past and existing insured pets•Policy-level information•Premiums received•Claims paidWhat steps should be taken to implement a machine learning model to identify potential new customers on social media?

A. Use regression on customer profile data to understand key characteristics of consumer segments

B. Use clustering on customer profile data to understand key characteristics of consumer segments

C. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments

D. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments

View answer

Correct Answer: C

Question #45

An online reseller has a large, multi-column dataset with one column missing 30% of its data. A Machine Learning Specialist believes that certain columns in the dataset could be used to reconstruct the missing data.Which reconstruction approach should the Specialist use to preserve the integrity of the dataset?

A. Listwise deletion

B. Last observation carried forward

C. Multiple imputation

D. Mean substitution

View answer

Correct Answer: C

Question #46

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?

A. tore datasets as files in Amazon S3

B. tore datasets as files in an Amazon EBS volume attached to an Amazon EC2 instance

C. tore datasets as tables in a multi-node Amazon Redshift cluster

D. tore datasets as global tables in Amazon DynamoDB

View answer

Correct Answer: A

Question #47

[Modeling]A chemical company has developed several machine learning (ML) solutions to identify chemical process abnormalities. The time series values of independent variables and the labels are available for the past 2 years and are sufficient to accurately model the problem.The regular operation label is marked as 0. The abnormal operation label is marked as 1 . Process abnormalities have a significant negative effect on the companys profits. The company must avoid these abnormalities.Which metrics will indicate an ML solution that will provide the GREATEST probability of detecting an abnormality?

A. Precision = 0

B. Precision = 0

C. Precision = 0

D. Precision = 0

View answer

Correct Answer: B

Question #48

A retail chain has been ingesting purchasing records from its network of 20,000 stores to Amazon S3 using Amazon Kinesis Data Firehose. To support training an improved machine learning model, training records will require new but simple transformations, and some attributes will be combined. The model needs to be retrained daily.Given the large number of stores and the legacy data ingestion, which change will require the LEAST amount of development effort?

A. Require that the stores to switch to capturing their data locally on AWS Storage Gateway for loading into Amazon S3, then use AWS Glue to do the transformation

B. Deploy an Amazon EMR cluster running Apache Spark with the transformation logic, and have the cluster run each day on the accumulating records in Amazon S3, outputting new/transformed records to Amazon S3

C. Spin up a fleet of Amazon EC2 instances with the transformation logic, have them transform the data records accumulating on Amazon S3, and output the transformed records to Amazon S3

D. Insert an Amazon Kinesis Data Analytics stream downstream of the Kinesis Data Firehose stream that transforms raw record attributes into simple transformed values using SQL

View answer

Correct Answer: D

Question #49

A manufacturing company has a large set of labeled historical sales data The manufacturer would like to predict how many units of a particular part should be produced each quarter Which machine learning approach should be used to solve this problem?

A. Logistic regression

B. Random Cut Forest (RCF)

C. Principal component analysis (PCA)

D. Linear regression

View answer

Correct Answer: D

Question #50

A Data Engineer needs to build a model using a dataset containing customer credit card information.How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?

A. Use a custom encryption algorithm to encrypt the data and store the data on an Amazon SageMaker instance in a VPC

B. Use an IAM policy to encrypt the data on the Amazon S3 bucket and Amazon Kinesis to automatically discard credit card numbers and insert fake credit card numbers

C. Use an Amazon SageMaker launch configuration to encrypt the data once it is copied to the SageMaker instance in a VP Use the SageMaker principal component analysis (PCA) algorithm to reduce the length of the credit card numbers

D. Use AWS KMS to encrypt the data on Amazon S3 and Amazon SageMaker, and redact the credit card numbers from the customer data with AWS Glue

View answer

Correct Answer: D

DON'T WANT TO MISS A THING?

Latest Cisco, PMP, AWS, CompTIA, Microsoft Materials on SALE
Get Now

Free AWS MLS-C01 Practice Questions & Answers 2026 Part3

View The Updated MLS-C01 Exam Questions

View The Updated AWS Exam Questions

View Answers after Submission

DON'T WANT TO MISS A THING?

Latest Cisco, PMP, AWS, CompTIA, Microsoft Materials on SALE Get Now

Free AWS MLS-C01 Practice Questions & Answers 2026 Part3

View The Updated MLS-C01 Exam Questions

View The Updated AWS Exam Questions

View Answers after Submission

Latest Cisco, PMP, AWS, CompTIA, Microsoft Materials on SALE
Get Now