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MLS-C01 · Question #368

A car company has dealership locations in multiple cities. The company uses a machine learning (ML) recommendation system to market cars to its customers. An ML engineer trained the ML…

The correct answer is D. Use the SageMaker Data Wrangler histogram visualization to inspect the range of values for the. To identify the distribution of car prices for a specific type of car within Amazon SageMaker Data Wrangler, an ML engineer should use a histogram visualization.

Exploratory Data Analysis

Question

A car company has dealership locations in multiple cities. The company uses a machine learning (ML) recommendation system to market cars to its customers. An ML engineer trained the ML recommendation model on a dataset that includes multiple attributes about each car. The dataset includes attributes such as car brand, car type, fuel efficiency, and price. The ML engineer uses Amazon SageMaker Data Wrangler to analyze and visualize data. The ML engineer needs to identify the distribution of car prices for a specific type of car. Which type of visualization should the ML engineer use to meet these requirements?

Options

  • AUse the SageMaker Data Wrangler scatter plot visualization to inspect the relationship between
  • BUse the SageMaker Data Wrangler quick model visualization to quickly evaluate the data and
  • CUse the SageMaker Data Wrangler anomaly detection visualization to Identify outliers for the
  • DUse the SageMaker Data Wrangler histogram visualization to inspect the range of values for the

How the community answered

(36 responses)
  • A
    6% (2)
  • B
    6% (2)
  • C
    11% (4)
  • D
    78% (28)

Why each option

To identify the distribution of car prices for a specific type of car within Amazon SageMaker Data Wrangler, an ML engineer should use a histogram visualization.

AUse the SageMaker Data Wrangler scatter plot visualization to inspect the relationship between

A scatter plot is used to visualize the relationship or correlation between two numerical variables, not primarily the distribution of a single variable.

BUse the SageMaker Data Wrangler quick model visualization to quickly evaluate the data and

The quick model visualization in SageMaker Data Wrangler is for rapidly evaluating data and understanding feature importance for a basic model, not for inspecting the distribution of a single feature.

CUse the SageMaker Data Wrangler anomaly detection visualization to Identify outliers for the

An anomaly detection visualization identifies unusual data points or outliers, which is a different purpose than understanding the overall distribution of a feature.

DUse the SageMaker Data Wrangler histogram visualization to inspect the range of values for theCorrect

A histogram visualization is specifically designed to display the distribution of a single numerical variable by showing the frequency of data points within predefined ranges or bins. This directly enables the ML engineer to inspect the range of car prices and their occurrences, fulfilling the requirement to identify the distribution of car prices for a specific car type in SageMaker Data Wrangler.

Concept tested: Data visualization for distribution with Data Wrangler

Source: https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-analyze-visualize.html

Topics

#Exploratory Data Analysis#Data Visualization#Amazon SageMaker Data Wrangler#Histograms

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