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Updated PCAD-31-02 Dumps Questions For Python Institute Exam
NEW QUESTION # 82
When fetching DATETIME values from a SQL database into Python, which Python data type is most appropriate for storing and manipulating these values?
- A. time.struct_time
- B. str
- C. float
- D. datetime.datetime
Answer: D
NEW QUESTION # 83
Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)
- A. Limit database user permissions to only necessary operations
- B. Store credentials securely using environment variables
- C. Sanitize input by replacing dangerous characters with asterisks
- D. Construct queries using f-strings for readability
Answer: A,B
NEW QUESTION # 84
What is the function of the melt() operation in Pandas when reshaping wide-format data?
- A. Transposes the DataFrame
- B. Sorts the DataFrame based on a column
- C. Combines multiple DataFrames
- D. Converts column values into rows
Answer: D
NEW QUESTION # 85
What is the main purpose of defining a class when working with complex data structures in a Python-based analysis project?
- A. To ensure all values are stored as plain strings
- B. To avoid using loops and conditional logic
- C. To define global variables that persist across files
- D. To encapsulate related data and behavior for better organization
Answer: D
NEW QUESTION # 86
Which of the following correctly demonstrates the use of parameterized queries using Python's sqlite3 module?
- A. cursor.execute("SELECT * FROM users WHERE id = ?", user_id)
- B. cursor.execute("SELECT * FROM users WHERE id = " + user_id)
- C. cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
- D. cursor.execute("SELECT * FROM users WHERE id = ':id'", {'id': user_id})
Answer: C
NEW QUESTION # 87
Which characteristics are typically associated with supervised learning algorithms?
(Choose two)
- A. They require labeled training data
- B. They work only with numerical features
- C. They are useful for regression and classification tasks
- D. They automatically detect outliers
Answer: A,C
NEW QUESTION # 88
Which storage system is best suited for storing and retrieving large volumes of unstructured data, such as images or logs?
- A. Data cubes
- B. In-memory databases
- C. Relational databases
- D. Object storage systems
Answer: D
NEW QUESTION # 89
In supervised learning, what is the primary goal when training a model on labeled data?
- A. To analyze unstructured data formats like text
- B. To cluster data points into similar groups
- C. To discover hidden patterns without outputs
- D. To learn a function that maps inputs to known outputs
Answer: D
NEW QUESTION # 90
What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)
- A. Error
- B. 0
- C. 5.0
- D. (4, 5, 6)
Answer: C
NEW QUESTION # 91
Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?
- A. To optimize the model's training accuracy
- B. To evaluate the model's performance on unseen data
- C. To reduce the number of iterations during training
- D. To ensure the loss function is minimized
Answer: B
NEW QUESTION # 92
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?
- A. sqlalchemy
- B. sqlite3
- C. psycopg2
- D. pymysql
Answer: B
NEW QUESTION # 93
Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)
- A. UPDATE
- B. SELECT
- C. INSERT
- D. DELETE
Answer: A,C
NEW QUESTION # 94
Which Python construct allows you to iterate over a list of dictionary values and apply conditional logic to accumulate numerical values that meet a certain threshold?
- A. while loop with try block
- B. lambda expression with reduce
- C. for loop with if condition
- D. filter() function with map
Answer: C
NEW QUESTION # 95
What is the primary purpose of using a requirements.txt file in Python-based data projects?
- A. To store the current working directory of Python modules
- B. To track script runtime dependencies during execution
- C. To list the packages and versions required for consistent environment setup
- D. To automatically compress source code for deployment
Answer: C
NEW QUESTION # 96
Which two benefits are most closely associated with using object-oriented programming (OOP) in data analysis pipelines?
(Choose two)
- A. Encourages code reuse through inheritance and modularity
- B. Enables procedural programming only through decorators
- C. Supports clearer abstraction by modeling real-world entities
- D. Allows the use of lambda for procedural logic
Answer: A,C
NEW QUESTION # 97
What is a key assumption of linear regression that distinguishes it from logistic regression?
- A. The relationship between predictors and the outcome is linear
- B. Predictors must be independent
- C. The target variable is unordered categorical
- D. Output values must be binary
Answer: A
NEW QUESTION # 98
Which data collection method is most appropriate when gathering opinions from a target audience at scale?
- A. Transactional data
- B. Surveys
- C. Web scraping
- D. Sensor logs
Answer: B
NEW QUESTION # 99
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
Answer: B
NEW QUESTION # 100
Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)
- A. Defining and enforcing schema constraints
- B. Using assertions to enforce domain-specific rules
- C. Automatically converting all text to uppercase
- D. Sorting columns alphabetically
Answer: A,B
NEW QUESTION # 101
What is the purpose of using df.loc[2:5, 'column1'] in a Pandas DataFrame?
- A. Returns a new DataFrame excluding 'column1'
- B. Returns the entire DataFrame
- C. Returns rows 2 to 4 in 'column1'
- D. Returns rows 2 through 5 in 'column1'
Answer: D
NEW QUESTION # 102
Which SQL command should a data analyst use to modify existing records in a database table based on specific conditions?
- A. UPDATE
- B. SELECT
- C. CREATE
- D. INSERT
Answer: A
NEW QUESTION # 103
Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)
- A. Using string concatenation to insert variables into SQL
- B. Employing parameterized statements for user-supplied data
- C. Using string formatting to build SQL queries dynamically
- D. Wrapping SQL commands in try-except blocks
Answer: B,D
NEW QUESTION # 104
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. Using fillna() to replace missing product prices
- B. Using rename() to change column headers
- C. Using groupby() to compute total sales per region
- D. Applying agg() to calculate multiple metrics like mean and max
Answer: C,D
NEW QUESTION # 105
Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?
- A. df['id'].nunique()
- B. df['id'].duplicated().any()
- C. df['id'].isnull().sum()
- D. df['id'].fillna()
Answer: B
NEW QUESTION # 106
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