Python Institute PCAD-31-02 Practice Exam - 146 Unique Questions
Latest Questions PCAD-31-02 Guide to Prepare Free Practice Tests
NEW QUESTION # 19
Which characteristics are commonly associated with cloud-based data storage solutions?
- A. High availability and redundancy
- B. Elastic scalability
- C. Physical proximity to user machines
- D. Requires dedicated local hardware
Answer: B
NEW QUESTION # 20
Which technique is considered a primary defense against SQL injection when executing database queries from Python?
- A. Escaping quotes manually in SQL strings
- B. Using parameterized queries
- C. Closing the database cursor after each query
- D. Encrypting the database connection
Answer: B
NEW QUESTION # 21
Which characteristics are typically associated with unstructured data formats?
(Choose two)
- A. Stored using fixed-width fields and records
- B. Highly tabular and query-friendly
- C. Requires parsing or transformation before analysis
- D. Lacks predefined data schema
Answer: C,D
NEW QUESTION # 22
When fetching DATETIME values from a SQL database into Python, which Python data type is most appropriate for storing and manipulating these values?
- A. float
- B. str
- C. time.struct_time
- D. datetime.datetime
Answer: D
NEW QUESTION # 23
Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?
- A. array1 * array2
- B. numpy.matrix()
- C. array1.dot(array2)
- D. numpy.outer()
Answer: A
NEW QUESTION # 24
In supervised learning, what is the primary goal when training a model on labeled data?
- A. To cluster data points into similar groups
- B. To analyze unstructured data formats like text
- C. To discover hidden patterns without outputs
- D. To learn a function that maps inputs to known outputs
Answer: D
NEW QUESTION # 25
Which method is used after grouping a DataFrame to compute the average value for each group in a specific column?
- A. groupby().count()
- B. groupby().mean()
- C. groupby().max()
- D. groupby().aggregate()
Answer: B
NEW QUESTION # 26
What is the outcome of the following code?
data = [5, 10, 15]
result = [x**2 for x in data if x > 5]
print(result)
- A. [25, 100]
- B. [25, 100, 225]
- C. [10, 15]
- D. [100, 225]
Answer: D
NEW QUESTION # 27
Which method is best suited to transform inconsistent entries such as "N/A", "missing", and empty strings into a standard missing value representation in a Pandas DataFrame?
- A. df.dropna()
- B. df.replace()
- C. df.sort_values()
- D. df.rename()
Answer: B
NEW QUESTION # 28
Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?
- A. df['id'].fillna()
- B. df['id'].duplicated().any()
- C. df['id'].isnull().sum()
- D. df['id'].nunique()
Answer: B
NEW QUESTION # 29
Why is it important to adjust data presentations based on the audience's background?
- A. To ensure the data is understood and supports actionable insights
- B. To include as many technical terms as possible
- C. To avoid using charts altogether
- D. To simplify all metrics to percentages only
Answer: A
NEW QUESTION # 30
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. Applying agg() to calculate multiple metrics like mean and max
- D. Using groupby() to compute total sales per region
Answer: C,D
NEW QUESTION # 31
What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)
- A. (4, 5, 6)
- B. 5.0
- C. Error
- D. 0
Answer: B
NEW QUESTION # 32
Which type of chart is most appropriate when comparing the distribution of a numerical variable across multiple categories?
- A. Box plot
- B. Line chart
- C. Pie chart
- D. Scatter plot
Answer: A
NEW QUESTION # 33
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?
- A. sqlalchemy
- B. pymysql
- C. sqlite3
- D. psycopg2
Answer: C
NEW QUESTION # 34
Which of the following practices contributes most to making Python scripts modular and maintainable?
- A. Structuring code with reusable functions and modules
- B. Hard-coding file paths in every function
- C. Using global variables freely
- D. Writing all logic in the global scope
Answer: A
NEW QUESTION # 35
Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)
- A. Construct queries using f-strings for readability
- B. Limit database user permissions to only necessary operations
- C. Store credentials securely using environment variables
- D. Sanitize input by replacing dangerous characters with asterisks
Answer: B,C
NEW QUESTION # 36
Which practices are typically part of the data integration process?
(Choose two)
- A. Schema alignment
- B. Format standardization
- C. Data encryption
- D. Neural network training
Answer: A,B
NEW QUESTION # 37
What is the purpose of using df.loc[2:5, 'column1'] in a Pandas DataFrame?
- A. Returns rows 2 to 4 in 'column1'
- B. Returns rows 2 through 5 in 'column1'
- C. Returns the entire DataFrame
- D. Returns a new DataFrame excluding 'column1'
Answer: B
NEW QUESTION # 38
What may occur if a model is evaluated using the same data it was trained on?
- A. Overgeneralization
- B. Overfitting
- C. Data leakage
- D. Underfitting
Answer: B
NEW QUESTION # 39
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