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Pass Your MLS-C01 Exam with Practice Tests 2024 Updated, AWS Certified Machine Learning | SPOTO

The AWS Certified Machine Learning—Specialty (MLS-C01) exam is a crucial step for individuals in Development or Data Science roles, validating their proficiency in building, training, tuning, and deploying machine learning (ML) models using the AWS Cloud. SPOTO offers 2024 updated practice tests to help you prepare effectively for the MLS-C01 exam. Our exam questions and answers, along with exam dumps and sample questions, provide comprehensive coverage of key ML concepts and AWS services. Access our exam materials and exam simulator to simulate real exam conditions, boosting your confidence and readiness for the MLS-C01 exam. With SPOTO's expert guidance and proven study resources, you can pass your AWS Certified Machine Learning—Specialty exam with ease. Prepare with SPOTO's updated MLS-C01 practice tests and embark on a successful journey towards AWS ML certification.
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Question #1
A Machine Learning Specialist is developing recommendation engine for a photography blog Given a picture, the recommendation engine should show a picture that captures similar objects The Specialist would like to create a numerical representation feature to perform nearest-neighbor searches What actions would allow the Specialist to get relevant numerical representations?
A. Reduce image resolution and use reduced resolution pixel values as features
B. Use Amazon Mechanical Turk to label image content and create a one-hot representation indicating the presence of specific labels
C. Run images through a neural network pie-trained on ImageNet, and collect the feature vectors from the penultimate layer
D. Average colors by channel to obtain three-dimensional representations of images
View answer
Correct Answer: BD
Question #2
An agency collects census information within a country to determine healthcare and social program needs by province and city. The census form collects responses for approximately 500 questions from each citizen Which combination of algorithms would provide the appropriate insights? (Select TWO )
A. The factorization machines (FM) algorithm
B. The Latent Dirichlet Allocation (LDA) algorithm
C. The principal component analysis (PCA) algorithm
D. The k-means algorithm
E. The Random Cut Forest (RCF) algorithm
View answer
Correct Answer: A
Question #3
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 notebo
A. Associate the Amazon SageMaker notebook with a private subnet in a VP
B. Place the Amazon SageMaker endpoint and S3 buckets within the same VPC
C. Associate the Amazon SageMaker notebook with a private subnet in a VP
D. Use 1AM policies to grant access to Amazon S3 and Amazon SageMaker
E. Associate the Amazon SageMaker notebook with a private subnet in a VP
F. Ensure the VPC has S3 VPC endpoints and Amazon SageMaker VPC endpoints attached to it
View answer
Correct Answer: D
Question #4
A Machine Learning Specialist is required to build a supervised image-recognition model to identify a cat. The ML Specialist performs some tests and records the following results for a neural network-based image classifier: Total number of images available = 1,000 Test set images = 100 (constant test set) The ML Specialist notices that, in over 75% of the misclassified images, the cats were held upside down by their owners. Which techniques can be used by the ML Specialist to improve this specific test erro
A. Increase the training data by adding variation in rotation for training images
B. Increase the number of epochs for model training
C. Increase the number of layers for the neural network
D. Increase the dropout rate for the second-to-last layer
View answer
Correct Answer: B
Question #5
A Machine Learning Specialist needs to move and transform data in preparation for training Some of the data needs to be processed in near-real time and other data can be moved hourly There are existing Amazon EMR MapReduce jobs to clean and feature engineering to perform on the data Which of the following services can feed data to the MapReduce jobs? (Select TWO )
A. AWSDMS
B. Amazon Kinesis
C. AWS Data Pipeline
D. Amazon Athena
E. Amazon ES
View answer
Correct Answer: BD
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 factors that store edit distance with every other word
D. Download word embedding’s pre-trained on a large corpus
View answer
Correct Answer: A
Question #7
An insurance company is developing a new device for vehicles that uses a camera to observe drivers' behavior and alert them when they appear distracted The company created approximately 10,000 training images in a controlled environment that a Machine Learning Specialist will use to train and evaluate machine learning models During the model evaluation the Specialist notices that the training error rate diminishes faster as the number of epochs increases and the model is not accurately inferring on the unse
A. Add vanishing gradient to the model
B. Perform data augmentation on the training data
C. Make the neural network architecture complex
D. Use gradient checking in the model
E. Add L2 regularization to the model
View answer
Correct Answer: CD
Question #8
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 lime 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: A
Question #9
Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?
A. Recall
B. Misclassification rate
C. Mean absolute percentage error (MAPE)
D. Area Under the ROC Curve (AUC)
View answer
Correct Answer: B

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