Amazon (MLS-C01) Exam Questions And Answers page 10
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 1,020 features. During exploratory data analysis, the specialist finds no missing values and a small percentage of duplicate rows. There are correlation scores of > 0.9 for 200 feature pairs. The mean value of each feature is similar to its 50th percentile.
Which feature engineering strategy should the ML specialist use with Amazon SageMaker?
Which feature engineering strategy should the ML specialist use with Amazon SageMaker?
Exploratory Data Analysis
Model Development
A machine learning (ML) specialist needs to extract embedding vectors from a text series. The goal is to provide a ready-to-ingest feature space for a data scientist to develop downstream ML predictive models. The text consists of curated sentences in English. Many sentences use similar words but in different contexts. There are questions and answers among the sentences, and the embedding space must differentiate between them.
Which options can produce the required embedding vectors that capture word context and sequential QA information? (Choose two.)
Which options can produce the required embedding vectors that capture word context and sequential QA information? (Choose two.)
Model Development
Machine 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 testing. The ML specialist needs to evaluate the impact of the number of features and the sample count on model performance.
Which approach should the ML specialist use to determine the ideal data transformations for the model?
Which approach should the ML specialist use to determine the ideal data transformations for the model?
Model Development
Machine Learning Implementation and Operations
A machine learning (ML) specialist wants to secure calls to the Amazon SageMaker Service API. The specialist has configured Amazon VPC with a VPC interface endpoint for the Amazon SageMaker Service API and is attempting to secure traffic from specific sets of instances and IAM users. The VPC is configured with a single public subnet.
Which combination of steps should the ML specialist take to secure the traffic? (Choose two.)
Which combination of steps should the ML specialist take to secure the traffic? (Choose two.)
Model Development
Machine Learning Implementation and Operations
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?
The dataset:
• Must be accessible from a VPC only.
• Must not traverse the public internet.
How can these requirements be satisfied?
Model Development
Machine Learning Implementation and Operations
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?
How should the Specialist address this issue and what is the reason behind it?
Model Development
Machine Learning Implementation and Operations
A Machine Learning Specialist deployed a model that provides product recommendations on a company's website. Initially, the model was performing very well and resulted in customers buying more products on average. However, within the past few months, the Specialist has noticed that the effect of product recommendations has diminished and customers are starting to return to their original habits of spending less. The Specialist is unsure of what happened, as the model has not changed from its initial deployment over a year ago.
Which method should the Specialist try to improve model performance?
Which method should the Specialist try to improve model performance?
Model Development
Machine Learning Implementation and Operations
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?
Which approach should the Specialist use for training a model using that data?
Model Development
Machine Learning Implementation and Operations
A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.
Which of the following methods should the Specialist consider using to correct this? (Choose three.)
Which of the following methods should the Specialist consider using to correct this? (Choose three.)
Model Development
Machine Learning Implementation and Operations
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?
Why could this be an issue for the linear least squares regression model?
Model Development
Machine Learning Implementation and Operations
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