Free Python Institute PCED-30-02 Exam Dumps Questions & Answers

You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

• A. 
• B. 
• C. 
• D. 

A government agency collects citizen data for various public services.
What is the primary reason for emphasizing careful data management throughout the entire data lifecycle in this context? Select the best answer.

• A.  To streamline the initial capture of citizen details and minimize the administrative burden on both staff and the public.
• B.  To enable seamless sharing of anonymized citizen information with other governmental bodies for collaborative initiatives.
• C.  To uphold data quality for effective service delivery, safeguard citizen privacy and prevent misuse, and comply with data protection laws.
• D.  To guarantee the long-term availability and integrity of crucial citizen datasets for future policy formulation and evaluation.

A variable is assigned using chained assignment: a = b = c = 10. The developer then changes b =
5. What will be the value of a after this operation?

• A.  10
• B.  None
• C.  Error
• D.  5

An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.

• A.  Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
• B.  Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
• C.  Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.
• D.  Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.

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