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PASS RATE Python Institute Certification PCAD-31-02 Certified Exam DUMP
NEW QUESTION # 79
Which features are commonly supported by both Matplotlib and Seaborn for customizing visualizations?
(Choose two)
- A. Adding plot titles and axis labels
- B. Changing plot color palettes
- C. Inserting audio annotations
- D. Automatic plot animations
Answer: A,B
NEW QUESTION # 80
Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)
- A. Employing parameterized statements for user-supplied data
- B. Wrapping SQL commands in try-except blocks
- C. Using string formatting to build SQL queries dynamically
- D. Using string concatenation to insert variables into SQL
Answer: A,B
NEW QUESTION # 81
Which SQL command should a data analyst use to modify existing records in a database table based on specific conditions?
- A. CREATE
- B. INSERT
- C. SELECT
- D. UPDATE
Answer: D
NEW QUESTION # 82
Which of the following practices contributes most to making Python scripts modular and maintainable?
- A. Writing all logic in the global scope
- B. Using global variables freely
- C. Hard-coding file paths in every function
- D. Structuring code with reusable functions and modules
Answer: D
NEW QUESTION # 83
Which method is commonly used to handle missing numerical data in a dataset?
- A. Dropping all columns
- B. Replacing with text labels
- C. Filling with the mean or median
- D. Multiplying all missing values by zero
Answer: C
NEW QUESTION # 84
Which storage system is best suited for storing and retrieving large volumes of unstructured data, such as images or logs?
- A. In-memory databases
- B. Object storage systems
- C. Data cubes
- D. Relational databases
Answer: B
NEW QUESTION # 85
Which method is appropriate for combining two DataFrames based on a shared key column where non-matching rows should be excluded from the result?
- A. merge(..., how='inner')
- B. join(..., how='outer')
- C. concat()
- D. append()
Answer: A
NEW QUESTION # 86
What is a key assumption of linear regression that distinguishes it from logistic regression?
- A. Predictors must be independent
- B. The relationship between predictors and the outcome is linear
- C. The target variable is unordered categorical
- D. Output values must be binary
Answer: B
NEW QUESTION # 87
When analyzing a sales dataset using Pandas, which of the following techniques help extract key insights by grouping and summarizing the data?
(Choose two)
- A. Applying agg() to calculate multiple metrics like mean and max
- B. Using rename() to change column headers
- C. Using groupby() to compute total sales per region
- D. Using fillna() to replace missing product prices
Answer: A,C
NEW QUESTION # 88
Which technique is considered a primary defense against SQL injection when executing database queries from Python?
- A. Using parameterized queries
- B. Encrypting the database connection
- C. Closing the database cursor after each query
- D. Escaping quotes manually in SQL strings
Answer: A
NEW QUESTION # 89
Which of the following are key differences between Pandas and NumPy arrays?
(Choose two)
- A. Pandas integrates better with tabular data and missing values
- B. NumPy supports string indexing; Pandas does not
- C. Pandas handles labeled data; NumPy does not
- D. Pandas Series are more memory efficient than NumPy arrays
Answer: A,C
NEW QUESTION # 90
What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?
- A. A weak positive relationship
- B. No correlation
- C. A strong negative linear relationship
- D. A moderate non-linear association
Answer: C
NEW QUESTION # 91
What is the best approach when comparing SQL NULL values with Python data during conditional checks?
- A. Use == None directly in SQL queries
- B. Use Python's None and SQL's IS NULL clause
- C. Convert all NULL to string before comparison
- D. Replace NULL with zero before importing
Answer: B
NEW QUESTION # 92
Which data collection method is most appropriate when gathering opinions from a target audience at scale?
- A. Sensor logs
- B. Surveys
- C. Transactional data
- D. Web scraping
Answer: B
NEW QUESTION # 93
Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?
- A. pandas
- B. NumPy
- C. matplotlib
- D. seaborn
Answer: B
NEW QUESTION # 94
What is the primary role of the pandas library in the Python data science ecosystem?
- A. Visualizing large datasets
- B. Manipulating labeled data structures
- C. Reducing execution time of compiled code
- D. Performing statistical tests
Answer: B
NEW QUESTION # 95
What is the primary reason for using parameterized queries instead of directly formatting SQL strings in Python?
- A. To allow dynamic table creation
- B. To prevent SQL injection vulnerabilities
- C. To simplify data encryption
- D. To reduce the number of SQL statements
Answer: B
NEW QUESTION # 96
Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?
- A. To evaluate the model's performance on unseen data
- B. To ensure the loss function is minimized
- C. To optimize the model's training accuracy
- D. To reduce the number of iterations during training
Answer: A
NEW QUESTION # 97
Which packages are most commonly used together in a data science workflow for data manipulation and visualization?
(Choose two)
- A. pandas
- B. Pygame
- C. NumPy
- D. flask
Answer: A,C
NEW QUESTION # 98
Which characteristics are typically associated with supervised learning algorithms?
(Choose two)
- A. They work only with numerical features
- B. They are useful for regression and classification tasks
- C. They require labeled training data
- D. They automatically detect outliers
Answer: B,C
NEW QUESTION # 99
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