Top 25 Data Analyst Questions and Answers
Are you preparing for a data analyst interview or looking to brush up on your analytics knowledge? This post covers 25 essential multiple-choice questions (MCQs) tailored for beginners and professionals alike. From big data concepts to real-world data science applications, these questions reflect the latest trends and tools used in the field. Use this guide to test your knowledge, prepare for interviews, or train your team.
Whether you're a student, job-seeker, or working professional — these data analyst MCQs will sharpen your skills and improve your confidence!
1. Which of the following statements most accurately describes semi-structured data?
A. Quantitative data processed and analyzed by conventional data tools
B. Data that combines features of both structured and unstructured data, using metadata for organization
C. Data that lacks any built-in organization or structure, such as images and texts
2. Which level of AI refers to machines that can perform any intellectual task that a human can?
A. Narrow AI
B. General AI
C. Broad AI
3. Which of the following explains why an AI trained with machine learning can rapidly map the best route between two points on a map?
A. It relies on a complete database of all possible routes through the city
B. It performs millions of tiny calculations quickly, trying different routes through trial and error
C. It uses predefined programming instructions to navigate through traffic
4. Which of the following types of data can be analyzed more quickly by machine learning than by a programmable computer?
A. Structured
B. Unstructured
C. Systematic
5. Which of the following is a key attribute of an artificial intelligence system?
A. AI systems are self-aware
B. AI systems make predictions
C. AI systems can judge
6. Which level of AI is more versatile, can handle a wider range of related tasks, and is focused on integrating AI within specific business processes?
A. Narrow AI
B. Broad AI
C. General AI
7. In which era of computing did IBM's Watson win at Jeopardy and a robot navigate a 131-mile desert trail?
A. Era of Tabulation
B. Era of AI
C. Era of Programming
8. Which type of data is categorized as qualitative and cannot be processed by conventional tools?
A. Structured data
B. Unstructured data
C. Semi-structured data
9. How does machine learning enable decision-making in complex scenarios like medical treatment?
A. By offering deterministic solutions based on fixed criteria
B. By providing probabilistic statements with confidence levels for different treatment options
C. By relying solely on AI systems to make treatment decisions
10. Which of the following acts on behalf of people in a way that complements human abilities?
A. Expert systems
B. Augmented intelligence
C. Machine learning algorithms
11. Which method of learning describes how an AI system learns using trial and error?
A. Supervised learning
B. Reinforcement learning
C. Unsupervised learning
12. How does machine learning differ from classical systems in structuring unstructured data?
A. It relies on deterministic algorithms
B. It offers probabilistic statements instead of binary decisions
C. It relies on human judgment
13. What is a likely consequence of AI becoming more pervasive across industries?
A. Increased compartmentalization of AI implementation
B. Enhanced productivity and the creation of new opportunities
C. Humans and machine interactions will become increasingly standardized
14. Why should a company use AI to analyze social media data?
A. Social media data is completely structured
B. Social media data contains a mix of structured and unstructured data
C. Social media data lacks complexity
15. What type of data are height and weight of newborn babies?
A. Ordinal
B. Continuous
C. Discrete
16. What type of data is the city someone lives in?
A. Continuous
B. Nominal
C. Ordinal
17. If a data analyst investigates the reason behind an unexpected pattern, what type of analytics is used?
A. Predictive analytics
B. Diagnostic analytics
C. Descriptive analytics
18. Why do data analysts create visualizations?
A. Increase complexity of presentation
B. Communicate results and help people understand the insights to make decisions
C. Publish data in a template
19. What is the purpose of a database in a large retail company?
A. Organize unstructured data
B. Store structured data to make it easier to analyze
C. Collect all types of data in tables
20. What big data characteristic is shown when app use increases customer data volume?
A. Variety
B. Volume
C. Velocity
21. Which big data characteristic is described by incorrect formatting and typos?
A. Variety
B. Veracity
C. Velocity
22. A desk described as black, steel, and height-adjustable is what type of data?
A. Quantitative
B. Qualitative
C. Discrete
23. What kind of analytics is used to forecast weather using past data?
A. Prescriptive analytics
B. Predictive analytics
C. Diagnostic analytics
24. What step of data analysis is reviewing buying data for insights?
A. Clean
B. Analyze
C. Visualize
25. Which is NOT part of data science?
A. Programming
B. Linguistics
C. Storytelling
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