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Exam Overview
Exam Code CIPP-US
Exam Name IAPP Certified Information Privacy Professional/United States (CIPP/US)
Vendor IAPP
Total Questions 195
Last Updated 26-Oct, 2026
Free CIPP-US Questions Get Premium Access
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Free CIPP-US Practice Questions

Explore 8 free practice questions for the IAPP CIPP-US exam and review the answers and explanations to support your preparation.

  1. Question 1

    Single answer

    An analyst has been tracking company intranet usage and has been asked to create a chat to show the most-used/most-clicked portions of a homepage that contains more than 30 links. Which of the following visualizations would BEST illustrate this information? 

    • Option A:
      Scatter plot
      Correct
    • Option B:
      Heat map
      Correct
    • Option C:
      Pie chart
      Correct
    • Option D:
       Infographic 
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

    Explanation

    This is because a heat map is a visualization that uses colors to represent different values or intensities of a variable. A heat map can be used to show the most-used/most-clicked portions of a homepage that contains more than 30 links by assigning different colors to each link based on how frequently they are clicked by the users. For example, a link that is clicked very often can be colored red, while a link that is clicked rarely can be colored blue. A heat map can help the analyst to identify which links are more popular or important than others on the homepage. The other visualizations are not as effective as a heat map for this purpose. Here is why: A scatter plot is a visualization that uses dots or points to represent the relationship between two variables. A scatter plot cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a clear way of mapping each link to a point on the graph. A pie chart is a visualization that uses slices or sectors to represent the proportion of each category in a whole. A pie chart cannot show the most-used/most-clicked portions of a homepage that contains more than 30 links because it does not have enough space to display all the categories clearly and accurately. An infographic is a visualization that uses images, icons, charts, and text to convey information or tell a story. An infographic cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a consistent or standardized way of representing each link and its click frequency.

  2. Question 2

    Single answer

    Which of the following would be the BEST technique for the analyst to apply to acquire the data? 

    • Option A:
      Web scraping
      Correct
    • Option B:
      Sampling
      Correct
    • Option C:
      Data wrangling
      Correct
    • Option D:
      ETL
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: A

    Explanation

    This is because web scraping is a technique that allows the analyst to extract data from web pages, such as articles from a digital news outlet. Web scraping can be done using various tools and methods, such as Python libraries, browser extensions, or online services. The other techniques are notsuitable for acquiring data from web pages. Here is why: Sampling is a technique that involves selecting a subset of data from a larger population, usually for statistical analysis or testing purposes. Sampling does not help the analyst to acquire data from web pages, but rather to reduce the amount of data to be analyzed. Data wrangling is a technique that involves transforming and cleaning data to make it suitable for analysis or visualization. Data wrangling does not help the analyst to acquire data from web pages, butratherto improve the quality and usability of the data. ETL stands for Extract, Transform, and Load, which is a process that involves moving data from one or more sources to a destination, such as a data warehouse or a database. ETL does not help the analyst to acquire data from web pages, but rather to store and organize the data

  3. Question 3

    Single answer

    Which of the following is an example of a at flat file? 

    • Option A:
      CSV file
      Correct
    • Option B:
      PDF file 
      Correct
    • Option C:
      JSON file
      Correct
    • Option D:
       JPEG file
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

  4. Question 4

    Single answer

    A recurring event is being stored in two databases that are housed in different geographical locations. A data analyst notices the event is being logged three hours earlier in one database than in the other database. Which of the following is the MOST likely cause of the issue?

    • Option A:
      The data analyst is not querying the databases correctly.
      Correct
    • Option B:
      The databases are recording different events.
      Correct
    • Option C:
      The databases are recording the event in different time zones.
      Correct
    • Option D:
      The second database is logging incorrectly. 
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

    Explanation

    The most likely cause of the issue is that the databases are recording the event in different time zones. For example, if one database is in New York and the other database is in Los Angeles, there is a three-hour difference between them. Therefore, an event that occurs at 12:00 PM in New York would be recorded as 9:00 AM in Los Angeles. To avoid this issue, the databases should either use a common time zone or convert the timestamps to a standard format. Therefore, option C is correct. Option A is incorrect because the data analyst is not querying the databases incorrectly, but rather observing a discrepancy in the timestamps. Option B is incorrect because the databases are recording the same event, but with different timestamps. Option D is incorrect because the second database is not logging incorrectly, but rather using a different time zone.

  5. Question 5

    Single answer

    Five dogs have the following heights in millimeters: 300, 430, 170, 470, 600 Which of the following is the mean height for the five dogs?

    • Option A:
      394mm
      Correct
    • Option B:
      405mm
      Correct
    • Option C:
      493mm
      Correct
    • Option D:
      504mm
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: A

    Explanation

    The mean height for the five dogs is calculated by adding up all the heights and dividing by the number of dogs. The formula is: mean = (300 + 430 + 170 + 470 + 600) / 5 mean = 1970 / 5 mean = 394 Therefore, option A is correct. Option B is incorrect because it is the median height, which is the middle value when the heights are arranged in ascending order. Option C is incorrect because it is the mean height multiplied by 1.25. Option D is incorrect because it is the mean height multiplied by 1.28.

  6. Question 6

    Single answer

    Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?

    • Option A:
      SAS
      Correct
    • Option B:
      Microsoft Power BI 
      Correct
    • Option C:
      IBM SPSS
      Correct
    • Option D:
      Python
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

    Explanation

    Python is a common data analytics tool that is also used as an interpreted, high-level, general purpose programming language. Python has a simple and expressive syntax that makes it easy to read and write code. Python also has a rich set of libraries and frameworks that support various tasks and applications in data analytics, such as data manipulation, visualization, machine learning, natural language processing, web scraping, and more. Some examples of popular Python libraries for data analytics are pandas, numpy, matplotlib, seaborn, scikit-learn, nltk, and beautiful soup. Python is different from other data analytics tools that are not programming languages but rather software applications or platforms that provide graphical user interfaces (GUIs) for data analysis and visualization. Some examples of these tools are SAS, Microsoft Power BI, IBM SPSS. Therefore, the correct answer is D. Reference: [What is Python? | Definition and Examples], [Python Libraries for Data Science]

  7. Question 7

    Single answer

    The number of phone calls that the call center receives in a day is an example of: 

    • Option A:
      continuous data.
      Correct
    • Option B:
      categorical data.
      Correct
    • Option C:
      ordinal data.
      Correct
    • Option D:
      discrete data.
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

    Explanation

    Discrete data is a type of data that can only take certain values, usually whole numbers or integers. Discrete data can be counted, but not measured. For example, the number of students in a class, the number of books in a library, or the number of phone calls that a call center receives in a day are all examples of discrete data. Discrete data is different from continuous data, which can take any value within a range, and can be measured with precision. For example, the height of a person, the weight of a fruit, or the temperature of a room are all examples of continuous data. Therefore, the correct answer is D. Reference: [Discrete vs Continuous Data: Definition and Examples - Statistics How To], [Discrete Data - Definition and Examples | Math Goodies] 

  8. Question 8

    Single answer
    A company’s marketing department wants to do a promotional campaign next month. A data analyst on the team has been asked to perform customer segmentation, looking at how recently a customer bought the product, at what frequency, and at what value. Which of the following types of analysis would this practice be considered? 
    • Option A:
      Prescriptive 
      Correct
    • Option B:
      Trend
      Correct
    • Option C:
      Gap
      Correct
    • Option D:
      Custer
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

    Explanation

    Customer segmentation is a type of cluster analysis, which is a method of grouping data points based on their similarities or differences. Cluster analysis can help identify patterns and trends in the data, as well as target specific groups of customers for marketing purposes. One common technique for customer segmentation is RFM analysis, which stands for recency, frequency, and monetary value. This technique assigns a score to each customer based on how recently they bought the product, how often they buy the product, and how much they spend on the product. These scores can then be used to create clusters of customers with different characteristics and preferences. Therefore, the correct answer is D. Reference: Cluster Analysis - Statistics Solutions, RFM Analysis: The Ultimate Guide for Customer Segmentation