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NEW QUESTION 53 A Data Scientist is building a linear regression model and will use resulting p-values to evaluate the statistical significance of each coefficient. Upon inspection of the dataset, the Data Scientist discovers that most of the features are normally distributed. The plot of one feature in the dataset is shown in the graphic. What transformation should the Data Scientist apply to satisfy the statistical assumptions of the linear regression model?

• A. Sinusoidal transformation
• B. Polynomial transformation
• C. Exponential transformation
• D. Logarithmic transformation

Answer: C   NEW QUESTION 54 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 use security groups to restrict access to the given VPC endpoint and an Amazon EC2 instance
• B. Create a VPC endpoint and apply a bucket access policy that restricts access to the given VPC endpoint and the VPC.
• C. Create a VPC endpoint and apply a bucket access policy that allows access from the given VPC endpoint and an Amazon EC2 instance.
• D. 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.

Answer: C Explanation: https://docs.aws.amazon.com/AmazonS3/latest/dev/example-bucket-policies-vpc-endpoint.html   NEW QUESTION 55 An agricultural company is interested in using machine learning to detect specific types of weeds in a 100-acre grassland field. Currently, the company uses tractor-mounted cameras to capture multiple images of the field as 10 * 10 grids. The company also has a large training dataset that consists of annotated images of popular weed classes like broadleaf and non-broadleaf docks. The company wants to build a weed detection model that will detect specific types of weeds and the location of each type within the field. Once the model is ready, it will be hosted on Amazon SageMaker endpoints. The model will perform real-time inferencing using the images captured by the cameras. Which approach should a Machine Learning Specialist take to obtain accurate predictions?

• A. Prepare the images in RecordIO format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an object-detection single-shot multibox detector (SSD) algorithm.
• B. Prepare the images in Apache Parquet format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an object-detection single-shot multibox detector (SSD) algorithm.
• C. Prepare the images in Apache Parquet format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an image classification algorithm to categorize images into various weed classes.
• D. Prepare the images in RecordIO format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an image classification algorithm to categorize images into various weed classes.

Answer: A   NEW QUESTION 56 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.

Answer: A   NEW QUESTION 57 While working on a neural network project, a Machine Learning Specialist discovers thai some features in the data have very high magnitude resulting in this data being weighted more in the cost function What should the Specialist do to ensure better convergence during backpropagation?

• A. Model regulanzation
• B. Data normalization
• C. Data augmentation for the minority class
• D. Dimensionality reduction

Answer: C   NEW QUESTION 58 ...... BTW, DOWNLOAD part of Exams4sures MLS-C01 dumps from Cloud Storage: https://drive.google.com/open?id=1eeWW1htI8TsOkF6WcLCl7uYnFsxe9g