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NEW QUESTION # 37
When analyzing a dataset of customer ages, you calculate the mean, median, and mode. What does it indicate if all three values are approximately equal?
- A. The dataset contains outliers
- B. The dataset is positively skewed
- C. The dataset is uniformly distributed
- D. The dataset has a normal distribution
Answer: D
NEW QUESTION # 38
Which transformation method adjusts the mean of the dataset to 0 and the standard deviation to 1?
- A. Z-score normalization
- B. Min-max normalization
- C. One-hot encoding
- D. Log transformation
Answer: A
NEW QUESTION # 39
Which packages are most commonly used together in a data science workflow for data manipulation and visualization?
(Choose two)
- A. NumPy
- B. flask
- C. Pygame
- D. pandas
Answer: A,D
NEW QUESTION # 40
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. Escaping quotes manually in SQL strings
- D. Closing the database cursor after each query
Answer: A
NEW QUESTION # 41
What is the primary difference between the == operator and the is operator in Python when used in a data pipeline?
- A. is checks value equality, while == checks for data type compatibility
- B. == compares values for equality, while is checks for object identity
- C. is compares dictionary keys, while == compares keys and values
- D. == checks identity, while is compares memory addresses
Answer: B
NEW QUESTION # 42
Which term best describes the process of combining customer data from multiple systems into a single unified dataset?
- A. Data warehousing
- B. Data normalization
- C. Data binning
- D. Data integration
Answer: D
NEW QUESTION # 43
Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?
- A. To compress all values into integers
- B. To prevent features with larger scales from dominating distance calculations
- C. To convert strings into numeric values
- D. To make all features interpretable as binary values
Answer: B
NEW QUESTION # 44
Which statements correctly describe differences between linear and logistic regression?
(Choose two)
- A. Linear regression requires target variables to be binary
- B. Linear regression applies only to classification tasks
- C. Logistic regression uses the logit function to model relationships
- D. Logistic regression outputs probabilities, while linear regression predicts continuous values
Answer: C,D
NEW QUESTION # 45
Which operations are recommended when organizing messy tabular data in Pandas for further transformation and statistical modeling?
(choose two)
- A. Converting the DataFrame to a Series
- B. Dropping column headers
- C. Ensuring consistent data types
- D. Resetting the index after filtering
Answer: C,D
NEW QUESTION # 46
Which function is used to reshape a NumPy array without modifying the original data values?
- A. reshape()
- B. resize()
- C. transpose()
- D. flatten()
Answer: A
NEW QUESTION # 47
What is a key assumption of linear regression that distinguishes it from logistic regression?
- A. Output values must be binary
- B. The relationship between predictors and the outcome is linear
- C. The target variable is unordered categorical
- D. Predictors must be independent
Answer: B
NEW QUESTION # 48
What is the key difference between the .iloc[] and .loc[] accessors when working with Series or DataFrames?
- A. .iloc[] allows label-based selection
- B. .loc[] does not allow slicing
- C. .loc[] can only be used on Series
- D. .iloc[] is position-based, while .loc[] is label-based
Answer: D
NEW QUESTION # 49
Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?
- A. ORDER BY
- B. WHERE
- C. GROUP BY
- D. HAVING
Answer: B
NEW QUESTION # 50
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. for loop with if condition
- B. while loop with try block
- C. lambda expression with reduce
- D. filter() function with map
Answer: A
NEW QUESTION # 51
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
Answer: A,D
NEW QUESTION # 52
When analyzing a dataset, which of the following functions would best help detect skewness or asymmetry in the data distribution?
- A. sum()
- B. mean()
- C. std()
- D. skew()
Answer: D
NEW QUESTION # 53
What is the main purpose of using the bootstrapping technique in inferential statistics?
- A. To estimate the sampling distribution by resampling with replacement
- B. To increase the number of features in a model
- C. To validate the syntax of SQL queries in Python
- D. To filter outliers from a dataset
Answer: A
NEW QUESTION # 54
In a scatter plot showing the relationship between advertising spend and sales revenue, the points form a tight upward-sloping pattern. What conclusion can be drawn?
- A. Advertising has no effect on sales
- B. The data shows no apparent relationship
- C. The correlation is weak and likely negative
- D. There is a strong positive correlation
Answer: D
NEW QUESTION # 55
What is one potential risk of dynamically constructing SQL queries using string concatenation in Python scripts?
- A. Increased memory usage
- B. Missing foreign key constraints
- C. Slower database performance
- D. Exposure to SQL injection attacks
Answer: D
NEW QUESTION # 56
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