PCAD-31-02問題集、Python Institute実際の試験問題

質問 1

Which approaches help tailor data visualizations for non-technical stakeholders?
(Choose two)

A. Use jargon-rich annotations

B. Focus on trend and summary metrics

C. Add context through narrative or titles

D. Use raw code outputs for clarity

正解: B,D

質問 2

What is the primary purpose of using annotations in a data visualization?

A. To enhance interactivity in static plots

B. To ensure faster rendering in large datasets

C. To highlight important data points and provide contextual information

D. To replace the need for axes

正解: C

質問 3

Which file formats are commonly used for hierarchical or nested data structures in data acquisition?
(Choose two)

A. XML

B. JSON

C. TSV

D. CSV

正解: A,B

質問 4

What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?

A. A weak positive relationship

B. A strong negative linear relationship

C. No correlation

D. A moderate non-linear association

正解: B

質問 5

Which operations are valid when working with Pandas Series?
(Choose two)

A. Arithmetic vector operations

B. Using .columns to rename

C. Merging by index using merge()

D. Applying NumPy universal functions

正解: A,D

質問 6

Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?

A. To ensure the loss function is minimized

B. To reduce the number of iterations during training

C. To optimize the model's training accuracy

D. To evaluate the model's performance on unseen data

正解: D

質問 7

What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A. Parquet stores data in plain text, making it human-readable

B. Parquet supports schema evolution and columnar storage

C. Parquet offers row-based compression

D. Parquet files can only be used with Excel

正解: B

質問 8

Which features are commonly supported by both Matplotlib and Seaborn for customizing visualizations?
(Choose two)

A. Adding plot titles and axis labels

B. Automatic plot animations

C. Inserting audio annotations

D. Changing plot color palettes

正解: A,D

質問 9

What does the describe() method in Pandas provide when applied to a numerical DataFrame column?

A. A normalized version of the data column

B. Basic descriptive statistics such as count, mean, and quartiles

C. Only the standard deviation of the data

D. A histogram of the data distribution

正解: B

Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) - PCAD-31-02 模擬練習