Data Analytics Program Final Exam

Data Analytics Final Exam

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1. Which of the following best defines data analytics?

The practice of analyzing data to uncover patterns, trends, and insights

A method used only for structured databases

The process of manually reviewing large datasets

The use of AI to replace decision-making

2. Which type of data analytics is used to determine why a past event occurred?

Prescriptive Analytics

Diagnostic Analytics

Descriptive Analytics

Predictive Analytics

3. Which of the following is NOT a key step in data preparation?

Model deployment

Data collection

Data transformation

Data cleaning

4. What is a primary reason for missing data in datasets?

Deliberate omission of information

Data corruption or loss during storage

Too much preprocessing

AI-driven model predictions

5. Which of these best describes a normalized database?

A database structured to reduce redundancy and dependency

A collection of unstructured datasets stored in a cloud

A database with duplicated information for faster access

A highly fragmented data storage system

6. Which SQL clause is used to filter data based on a specific condition?

ORDER BY

GROUP BY

JOIN

WHERE

7. Which statistical measure is most useful for understanding the spread of a dataset?

Mode

Median

Mean

Standard deviation

8. Which type of regression analysis is most appropriate for predicting a binary outcome?

Polynomial regression

Logistic regression

Multiple regression

Linear regression

9. Which of the following statements about correlation is true?

A correlation coefficient of 0 means no relationship

A positive correlation always indicates a strong relationship

Correlation proves causation

Negative correlation means two variables are unrelated

10. Which factor is crucial when building a regression model?

Collecting only categorical data

Ensuring variables are independent

Using as many variables as possible without testing their significance

Ignoring multicollinearity

11. Which of the following is NOT a common data visualization tool?

Matplotlib

NumPy

Tableau

Power BI

12. Which visualization is best for showing trends over time?

Scatter plot

Line chart

Pie chart

Bar chart

13. What is the main purpose of predictive analytics?

Forecasting future outcomes

Cleaning datasets

Describing past trends

Explaining why an event occurred

14. Which machine learning algorithm is commonly used for building predictive models?

K-Means Clustering

DBSCAN

Principal Component Analysis (PCA)

Decision Trees

15. What is a key consideration when communicating insights to non-technical stakeholders?

Using only technical terminology

Avoiding any simplification of data

Presenting key findings with clear visualizations

Providing raw data for independent analysis

16. Which optimization technique helps improve business decisions using analytics?

Redundant data duplication

Eliminating statistical models

Random guessing

A/B testing

17. Which cloud-based analytics tool is specifically designed for processing large datasets?

Apache Kafka

AWS Lambda

Microsoft Excel

Google BigQuery

18. Which deep learning technique is used for sentiment analysis?

Recurrent Neural Networks

Convolutional Neural Networks

K-Means Clustering

Decision Trees

19. Which type of AI model bias results from training data that lacks diversity?

Sampling bias

Model variance

Algorithmic bias

Measurement bias

20. What is a major challenge of working with unstructured data?

It requires specialized processing techniques

It is easier to analyze than structured data

It cannot be stored in databases

It does not require cleaning

21. What is a key advantage of distributed computing frameworks like Apache Spark?

They enable real-time data processing

They reduce the need for machine learning models

They eliminate the need for cloud storage

They only work for structured data

22. Which of the following is a fundamental principle of time-series analysis?

Time-series data only contains categorical variables

Data is collected randomly over time

Time has no effect on the dataset

Data points are sequential and time-dependent

23. Which AI-driven analytics method helps businesses optimize marketing campaigns?

Standard deviation

Database normalization

Sentiment analysis

Randomized data sampling

24. Which factor impacts the performance of machine learning models?

The volume and quality of data

Ignoring missing data

Using only structured datasets

Avoiding feature selection

25. Which method is commonly used to improve model interpretability in AI?

Reducing data preprocessing

Ignoring bias in training data

Black-box modeling

Explainable AI (XAI)

26. Which problem can arise from overfitting in machine learning models?

The model has high bias and low variance

The model performs well only on training data

The model generalizes well to new data

The model ignores the training data

27. Which cloud service is best for scalable AI and data analytics workflows?

AWS SageMaker

Apache Hadoop

Microsoft Paint

Google Docs

28. Which optimization technique is used to fine-tune machine learning models?

Reducing the number of training epochs to one

Increasing the dataset size indefinitely

Eliminating feature selection

Hyperparameter tuning

29. Which aspect of IoT data analytics is most critical for real-time decision-making?

Storing all IoT data permanently

Avoiding machine learning models

Low-latency processing

Data visualization

30. Which distributed computing framework is widely used for big data processing?

PostgreSQL

Hadoop

Excel

MySQL

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Data Analytics Program Final Exam

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