D491 Introduction to Analytics - Set 1 - Part 1

Test your knowledge of technical writing concepts with these practice questions. Each question includes detailed explanations to help you understand the correct answers.

Question 1: Which regression model is commonly used for predicting a continuous numerical outcome based on a set of input features?

Logistic regression

Random forest

Linear regression

Naive Bayes

Question 2: Which algorithm is primarily used for securely exchanging cryptographic keys over an insecure channel?

RSA

Diffie-Hellman (DH)

AES

SHA-256

Question 3: Which type of data is necessary for performing cluster analysis?

Nominal

Continuous

Time series

Categorical

Question 4: What is the most appropriate technique for predicting future sales based on past data?

K-means clustering

Logistic regression

Time series analysis

Heat map

Question 5: Which data visualization technique is best for showing the relationship between two continuous variables?

Bar chart

Pie chart

Scatter plot

Heat map

Question 6: Which technique is used to identify outliers in a dataset?

Logistic regression

Box plot

Line chart

K-means clustering

Question 7: Which phase in the data analytics life cycle involves collecting and transforming raw data?

Discovery

Data preparation

Model planning

Communicate results

Question 8: What is the primary purpose of descriptive analytics?

Predict future outcomes

Describe historical trends

Prescribe actions for improvement

Explore unknown relationships in data

Question 9: Which of the following is a common technique used in sentiment analysis?

K-means clustering

Text mining

Principal component analysis

Logistic regression

Question 10: What is the main goal of predictive analytics?

To describe what has happened

To predict future outcomes

To prescribe actions for improvement

To collect raw data

Question 11: What is the main advantage of using decision trees over linear regression?

They are faster

They can handle missing data

They can model non-linear relationships

They use fewer computational resources

Question 12: Which of the following measures the probability of a result occurring by chance?

P-value

Mean absolute error

Percent change

Precision

Question 13: What is the main purpose of using cross-validation in model evaluation?

To simplify the data

To split data into training and test sets

To test the model on different subsets of data

To visualize model predictions

Question 14: What is a key benefit of using a logistic regression model for classification tasks?

It handles missing data well

It provides probabilities in addition to class labels

It models non-linear relationships effectively

It can cluster data into groups

Question 15: Which tool is commonly used during the model planning phase of data analytics projects?

Hadoop

KNIME

Tableau

Microsoft Excel

Question 16: Which regression model is commonly used for binary classification tasks?

Linear regression

Decision tree

Logistic regression

K-means clustering

Question 17: What is the purpose of normalization in data preprocessing?

To find the mean of the data

To handle missing values

To scale numerical data to a specific range

To remove outliers

Question 18: Which metric is best for measuring the central tendency of a dataset with outliers?

Mean

Median

Mode

Standard deviation

Question 19: Which technique is used for reducing the dimensionality of a dataset while preserving most of the variance?

Decision tree

Principal component analysis (PCA)

K-means clustering

Logistic regression

Question 20: In a decision tree, how does the algorithm choose which feature to split on?

Random selection

Based on Gini impurity or information gain

Based on correlation

Based on feature type (categorical or continuous)

Need Guaranteed Results?

Our exam support service guarantees you'll pass your OA on the first attempt. Pay only after you pass!

Get Exam Support