Advanced Data Analytics MCQs (25)
(Answers at the End)

1) Advanced Data Analytics mainly focuses on?
A. Basic charts only
B. Predictive insights and complex analysis
C. Data deletion
D. Hardware setup

2) Predictive analytics is used to?
A. Describe past only
B. Forecast future outcomes
C. Format files
D. Backup data

3) Prescriptive analytics helps in?
A. Recommending actions
B. Storing data
C. Printing reports
D. Data entry

4) Which algorithm is used for classification?
A. Linear Regression
B. Decision Tree
C. SUM()
D. Pivot Table

5) Linear Regression is mainly used for?
A. Prediction of continuous values
B. Image editing
C. Data cleaning
D. Sorting files

6) Clustering is an example of?
A. Supervised learning
B. Unsupervised learning
C. Manual analysis
D. Data entry

7) K-Means algorithm is used for?
A. Classification
B. Clustering
C. Reporting
D. Encryption

8) Overfitting means?
A. Model performs well only on training data
B. Model is too simple
C. Data missing
D. Data duplicated

9) Underfitting occurs when?
A. Model is too complex
B. Model fails to capture patterns
C. Data is cleaned
D. Data normalized

10) Train-test split is used to?
A. Reduce data size
B. Evaluate model performance
C. Delete data
D. Create dashboards

11) Feature engineering means?
A. Creating useful input variables
B. Building hardware
C. Writing SQL only
D. Removing columns randomly

12) Dimensionality reduction helps to?
A. Increase columns
B. Reduce complexity
C. Duplicate data
D. Increase storage

13) PCA stands for?
A. Principal Component Analysis
B. Predictive Component Access
C. Primary Chart Analysis
D. Process Control Algorithm

14) Time Series analysis deals with?
A. Data over time
B. Random tables
C. Images
D. Audio files

15) Forecasting is commonly used for?
A. Future trend prediction
B. Data cleaning
C. Data entry
D. File compression

16) A/B Testing compares?
A. Two versions to measure performance
B. Two files only
C. Two databases
D. Two users

17) Accuracy in ML models means?
A. Correct predictions / Total predictions
B. Model size
C. Training time
D. Data rows

18) Precision measures?
A. Correct positive predictions
B. Total errors
C. Data quality only
D. Runtime speed

19) Recall measures?
A. Ability to find actual positives
B. Data duplicates
C. Visualization type
D. File size

20) F1 Score combines?
A. Mean and median
B. Precision and Recall
C. Sum and average
D. Variance and Standard Deviation

21) Big Data analytics commonly uses?
A. Distributed processing
B. Manual notebooks
C. Pen and paper
D. Local calculator

22) Real-time analytics means?
A. Instant processing of streaming data
B. Monthly reports
C. Yearly backup
D. Offline analysis only

23) Data pipeline is?
A. Flow of data from source to analysis
B. Data storage device
C. Chart type
D. Data cleaning tool only

24) Model deployment means?
A. Using model in real-world applications
B. Deleting model
C. Compressing data
D. Exporting Excel

25) Advanced analytics helps businesses to?
A. Make smarter data-driven decisions
B. Reduce data usage only
C. Avoid analysis
D. Remove dashboards

Answer Key

1) B
2) B
3) A
4) B
5) A
6) B
7) B
8) A
9) B
10) B
11) A
12) B
13) A
14) A
15) A
16) A
17) A
18) A
19) A
20) B
21) A
22) A
23) A
24) A
25) A

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