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IBM AI Fundamentals: Analyze Structured Temperature Data

Learn how to answer a sample question from the IBM Artificial Intelligence Fundamentals certification exam involving analyzing structured temperature data to determine the highest temperature.

Table of Contents

Question

Based on the following structured data, what was the highest temperature in New York during a recent week?

A. Monday, 32°F (0°C)
B. Tuesday, 36°F (2.2°C)
C. Wednesday, 22°F (-5.6°C)
D. Thursday, 19°F (-7.2°C)
E. Friday, 10°F (-12.2°C)
F. Saturday, 37°F (2.8°C)
G. Sunday, 31°F (-0.6°C)

Answer

Based on the structured temperature data provided for a recent week in New York, the highest temperature occurred on Saturday at 37°F (2.8°C).

Explanation

The highest temperature in New York during the recent week can be determined by examining the provided structured data:

  • Monday: 32°F (0°C)
  • Tuesday: 36°F (2.2°C)
  • Wednesday: 22°F (-5.6°C)
  • Thursday: 19°F (-7.2°C)
  • Friday: 10°F (-12.2°C)
  • Saturday: 37°F (2.8°C)
  • Sunday: 31°F (-0.6°C)

By comparing the temperatures across all seven days, it’s clear that Saturday had the highest temperature at 37°F (2.8°C). Tuesday had the next highest at 36°F (2.2°C).

The ability to analyze structured data like this and draw accurate conclusions is a fundamental skill tested on the IBM AI Fundamentals certification exam. Being able to work with data in a structured format and perform comparisons is crucial for AI and data science applications.

IBM Artificial Intelligence Fundamentals certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Artificial Intelligence Fundamentals graded quizzes and final assessments, earn IBM Artificial Intelligence Fundamentals digital credential and badge.