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NEW QUESTION # 29
You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.
- A.
- B.
- C.
- D.
Answer: A
Explanation:
It converts the lists to NumPy arrays, builds a boolean mask based on the views threshold to remove outliers, applies the same mask to both arrays so they stay aligned, and then computes the correlation on the cleaned pairs using np.corrcoef.
NEW QUESTION # 30
A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)
- A. Limiting data access only to marketing staff to streamline personalization.
- B. Retaining user data permanently unless users explicitly request deletion.
- C. Implementing encryption for both stored and transmitted customer data.
- D. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
- E. Automatically opting users into data sharing unless they manually change settings.
Answer: C,D
Explanation:
Encrypting stored and transmitted data protects sensitive information from unauthorized access and supports regulatory requirements for data security. Providing clear explanations of data usage and obtaining explicit consent ensures transparency and aligns with core principles of data protection regulations such as lawful processing and user rights.
NEW QUESTION # 31
You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
- The file should be automatically closed after reading,
- The code should check whether the file exists before opening it, and
- It should handle missing file errors gracefully.
Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.
- A.
- B.
- C.
- D.
Answer: C
Explanation:
It uses a context manager to automatically close the file after reading and wraps the operation in a try-except block to gracefully handle a missing file error, assigning an empty list if the file is not found.
NEW QUESTION # 32
A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?
- A. Infinite loop
- B. Prints once
- C. No execution
- D. Error
Answer: C
Explanation:
The condition False is evaluated before entering the loop. Since it is always false, the loop body is never executed, and no output is produced.
NEW QUESTION # 33
How do the analysis and visualization stages of the data lifecycle typically work together?
- A. Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
- B. Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
- C. Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
- D. Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
Answer: A
Explanation:
Analysis involves examining processed data to uncover patterns, trends, and insights, and visualization presents those findings in graphical form so stakeholders can clearly understand and act on the results.
NEW QUESTION # 34
A Python script checks membership using "a" in "apple". The developer wants to understand how membership works for strings. What result will this expression produce?
- A. None
- B. True
- C. Error
- D. False
Answer: B
Explanation:
The in operator checks for substring presence. Since the character "a" exists in "apple", the expression evaluates to True, demonstrating how membership works for strings in Python.
NEW QUESTION # 35
Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.
- A. Developing machine learning algorithms to predict user behavior.
- B. Designing a data pipeline to ingest and process real-time sensor data.
- C. Creating summary tables and charts to describe patterns in historical data.
- D. Recommending pricing strategies using predictive modeling and A/B testing.
Answer: C
Explanation:
Creating summary tables and charts to describe patterns in historical data is a core responsibility of a data analyst, focusing on descriptive analytics and reporting rather than building predictive models, machine learning systems, or engineering data pipelines.
NEW QUESTION # 36
A loop includes a break statement when a condition is met. The programmer wants to understand how break affects loop execution. What happens when break is executed inside the loop?
- A. Loop restarts
- B. Loop ends immediately
- C. Skips one iteration
- D. Error
Answer: B
Explanation:
The break statement immediately terminates the loop, regardless of remaining iterations. Control is transferred to the first statement following the loop block.
NEW QUESTION # 37
A Python loop uses range(5, 0, -2) to iterate backward. The programmer expects a decreasing sequence. Which values will actually be generated when this loop runs?
- A. 5, 4, 3, 2, 1
- B. 5, 3, 1
- C. 4, 2, 0
- D. 5, 3
Answer: B
Explanation:
The range starts at 5 and decreases by 2 each step until it reaches a value greater than 0. The generated sequence is 5, 3, and 1.
NEW QUESTION # 38
You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:
Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.
- A. The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
- B. The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
- C. The months should be replaced with week numbers to provide more detailed insight.
- D. The lines are too light and similar in color, making it difficult to distinguish between trends.
- E. The chart should be in 3D format to show depth and highlight differences more clearly.
Answer: D
Explanation:
The lines are very light and visually similar, making it difficult to clearly distinguish between the different stress level trends, which directly reduces the effectiveness of the visualization in communicating patterns over time.
NEW QUESTION # 39
A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.
- A. CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.
- B. XML, because it automatically preserves spreadsheet formatting and charts.
- C. SQL, because it directly converts tabular data into database tables that Excel can open.
- D. JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
Answer: A
Explanation:
CSV stores tabular data in a simple plain-text, comma-separated format that is widely supported by spreadsheet applications like Excel, making it ideal for sharing datasets for easy import and analysis.
NEW QUESTION # 40
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?
- A. fields = line.split(', ').trim()
- B. fields = line.strip().split(', ')
- C. fields = line.replace(', ', '|').split('|')
- D. fields = line.split().strip(', ')
Answer: B
NEW QUESTION # 41
A student writes a program using input() to collect user data, then tries to add 5 to the input value without conversion. The program crashes. What is the most likely cause of this behavior?
- A. input returns int
- B. Syntax error
- C. input returns string
- D. input returns float
Answer: C
Explanation:
The input() function always returns a string. Attempting to add an integer to a string causes a TypeError. The input must be explicitly converted using int() or float() before performing arithmetic operations.
NEW QUESTION # 42
A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?
- A. tho
- B. ytho
- C. ythn
- D. yth
Answer: D
Explanation:
Slicing includes the start index but excludes the end index. Characters at indices 1, 2, and 3 are selected, producing the substring "yth".
NEW QUESTION # 43
You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np
- A. timestamps = np.linspace(0, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np - B. timestamps = np.linspace(0, 180, 10)
target_temps = np.arange(35.0, 37.0, 5)
import numpy as np - C. timestamps = np.arange(0, 181, 10)
target_temps = np.linspace(35.0, 37.0, 5) - D. timestamps = np.arange(0, 180, 10)
target_temps = np.linspace(35.0, 37.0, 4)
import numpy as np
Answer: C
Explanation:
np.arange(0, 181, 10) generates timestamps from 0 through 180 in 10-minute steps (end is excluded, so using 181 includes 180). np.linspace(35.0, 37.0, 5) generates five evenly spaced temperatures including both 35.0°C and 37.0°C.
NEW QUESTION # 44
Consider the following Python code:
What will be printed when the code above is executed?
40
- A. [10, 20, 30, 40]
1
[1, 2, 4, 5, 6]
50 - B. [20, 30, 40]
1
[1, 2, 4, 5, 6]
50 - C. [10, 20, 30, 40]
0
[1, 2, 3, 4, 5, 6]
50 - D. [20, 30, 40]
1
[1, 2, 4, 5, 6]
Answer: D
Explanation:
The last element of the original list is 50. The slice from index 1 up to (but not including) index 4 is
[20, 30, 40]. After removing 30 and appending 60, the list contains one occurrence of 10, and integer division by 10 produces [1, 2, 4, 5, 6].
NEW QUESTION # 45
A Python script includes the expression not False and True. The developer is unsure how logical operators are evaluated in terms of precedence. What will be the final Boolean result of this expression?
- A. None
- B. True
- C. Error
- D. False
Answer: B
Explanation:
The not operator has higher precedence than and, so not False becomes True first. Then True and True is evaluated, resulting in True as the final Boolean value.
NEW QUESTION # 46
Which of the following code snippets will output Truefor both printfunctions by correctly identifying the type of each variable and performing valid operations?
- A.
- B.
- C.
- D.
Answer: C
Explanation:
Adding an integer and a float produces a float result, so checking that the type of the sum is float evaluates to True. The variable holding 3.0 is a float, so the isinstance check for float also evaluates to True.
NEW QUESTION # 47
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