You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:

You want to:
- find the number of unique colors mentioned using NumPy, and
- determine how often each color was chosen using Counter.
Which code snippet correctly performs both tasks? Select the best answer.
from numpy import unique

• A. from collections import Counter
  unique_colors = len(set(colors))
  color_counts = np.unique(colors)
• B. from collections import Counter
  unique_colors = len(unique(colors))
  color_counts = Counter(colors)
  import numpy as np
• C. from collections import Counter
  unique_colors = Counter(colors)
  color_counts = sum(np.unique(colors))
  import numpy as np
• D. from collections import Counter
  unique_colors = np.unique(colors)
  color_counts = Counter(set(colors))
  import numpy as np

Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)

• A. text[6:8].isdigit()returns True, and text.endswith("Final")returns True
• B. text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
• C. text[-6].isdigit() returns True, text.startswith("r") returns True
• D. text.isalpha()returns True, and text.find ("2024")returns True
• E. text[0:6].isalpha() returns True, and text.find("2024") returns 6
• F. text.capitalize()changes Finalto lowercase, and text.find ("L")returns True

You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np

• A. timestamps = np.linspace(0, 180, 10)
  target_temps = np.arange(35.0, 37.0, 5)
  import numpy as np
• B. timestamps = np.linspace(0, 181, 10)
  target_temps = np.arange(35.0, 37.0, 0.5)
  import numpy a3 np
• C. timestamps = np.arange(0, 181, 10)
  target_temps = np.linspace(35.0, 37.0, 5)
• D. timestamps = np.arange(0, 180, 10)
  target_temps = np.linspace(35.0, 37.0, 4)
  import numpy as np

A Python script evaluates the expression len(" "). The programmer assumes it might be zero because it looks empty. What will the actual result be?

• A. 1
• B. Error
• C. 0
• D. None

A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.

• A. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
• B. SQL, because it directly converts tabular data into database tables that Excel can open.
• C. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
• D. XML, because it automatically preserves spreadsheet formatting and charts.