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Amazon MLS-C01 Exam
- Topic 1: Build Machine Learning Solutions For Performance, Availability, Scalability, Resiliency, And Fault Tolerance
- Topic 2: Frame Business Problems As Machine Learning Problems/ Machine Learning Implementation And Operations
- Topic 3: Recommend And Implement The Appropriate Machine Learning Services And Features For A Given Problem
- Topic 4: Apply Basic AWS Security Practices To Machine Learning Solutions
- Topic 5: Select The Appropriate Model(S) For A Given Machine Learning Problem
- Topic 6: Exploratory Data Analysis2.1Sanitize And Prepare Data For Modeling
- Topic 7: Analyze And Visualize Data For Machine Learning
- Topic 8: Identify And Implement A Data-Transformation Solution/ Perform Feature Engineering
- Topic 9: Evaluate Machine Learning Models/ Perform Hyperparameter Optimization
- Topic 10: Deploy And Operationalize Machine Learning Solutions/ Identify And Implement A Data-Ingestion Solution
Free Amazon MLS-C01 Exam Actual Questions
The questions for MLS-C01 were last updated On Nov. 29, 2021
A Machine Learning Specialist is working with a media company to perform classification on popular articles from the company's website. The company is using random forests to classify how popular an article will be before it is published A sample of the data being used is below.
Given the dataset, the Specialist wants to convert the Day-Of_Week column to binary values.
What technique should be used to convert this column to binary values.
A company has raw user and transaction data stored in AmazonS3 a MySQL database, and Amazon RedShift A Data Scientist needs to perform an analysis by joining the three datasets from Amazon S3, MySQL, and Amazon RedShift, and then calculating the average-of a few selected columns from the joined data
Which AWS service should the Data Scientist use?
A Machine Learning Specialist is applying a linear least squares regression model to a dataset with 1 000 records and 50 features Prior to training, the ML Specialist notices that two features are perfectly linearly dependent
Why could this be an issue for the linear least squares regression model?
A Machine Learning Specialist has built a model using Amazon SageMaker built-in algorithms and is not getting expected accurate results The Specialist wants to use hyperparameter optimization to increase the model's accuracy
Which method is the MOST repeatable and requires the LEAST amount of effort to achieve this?
IT leadership wants Jo transition a company's existing machine learning data storage environment to AWS as a temporary ad hoc solution The company currently uses a custom software process that heavily leverages SOL as a query language and exclusively stores generated csv documents for machine learning
The ideal state for the company would be a solution that allows it to continue to use the current workforce of SQL experts The solution must also support the storage of csv and JSON files, and be able to query over semi-structured data The following are high priorities for the company:
* Solution simplicity
* Fast development time
* Low cost
* High flexibility
What technologies meet the company's requirements?
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