In deep learning, what function do convolutional layers primarily serve?
- Dimensionality reduction
- Feature extraction from input data
- Non-linear activation
- Weight initialization
Convolutional layers in deep learning primarily serve the purpose of feature extraction from input data. They apply filters to input data, capturing spatial hierarchies of features, which is crucial for tasks like image recognition.
In a binary tree, the _________ traversal method visits the left subtree, the root, and then the right subtree sequentially.
- Inorder
- Level Order
- Postorder
- Preorder
In a binary tree, the Inorder traversal method visits the left subtree, then the root, and finally the right subtree sequentially. This traversal is commonly used for expressions involving binary operators, among other applications.
How would you write a SQL query to find the second highest salary from a table?
- SELECT MAX(salary) FROM employees WHERE salary < (SELECT MAX(salary) FROM employees);
- SELECT TOP 2 salary FROM employees ORDER BY salary DESC;
- SELECT salary FROM employees ORDER BY salary DESC LIMIT 1 OFFSET 1;
- SELECT salary FROM employees ORDER BY salary DESC LIMIT 1, 1;
To find the second highest salary, you can use the ORDER BY clause in descending order and apply LIMIT with an offset of 1 to retrieve the second highest salary from the table.
_________ is a strategic framework used in project management that focuses on aligning project objectives with business goals.
- Agile
- Business Analysis
- Scrum
- Six Sigma
Business Analysis is a strategic framework used in project management that focuses on aligning project objectives with business goals. It involves understanding the business needs and ensuring that project deliverables align with these objectives.
A case study focusing on customer segmentation in marketing would most likely use _______ analysis.
- Cluster
- Demographic
- Regression
- SWOT
A case study on customer segmentation in marketing would most likely use cluster analysis to group similar customers based on their behavior or characteristics. Cluster analysis helps identify segments for targeted marketing strategies.
In a retail setting, what data mining technique would be most effective for recommending products based on a customer's past purchase history?
- Association Rule Mining
- Classification
- Clustering
- Regression
Association Rule Mining is effective for identifying patterns in data, making it suitable for recommending products based on a customer's past purchase history. Clustering, Classification, and Regression have different applications and may not be as directly applicable to this scenario.
In a collaborative project, if you need to ensure that your local repository is up-to-date with the remote before pushing changes, which Git command(s) would you use?
- git sync
- git pull
- git update
- git fetch
The correct option is b) git pull. This command fetches changes from the remote repository and merges them into your local branch, ensuring that your local repository is up-to-date before pushing changes. Options a, c, and d are not standard Git commands for this purpose.
How does a drill-down report differ from an executive summary report in business intelligence?
- Drill-down reports are used for historical data analysis, while executive summary reports are designed for real-time reporting.
- Drill-down reports provide detailed insights by allowing users to navigate through hierarchical levels of data, while executive summary reports offer a concise overview of key information.
- Executive summary reports are more interactive than drill-down reports.
- Executive summary reports focus on individual data points, while drill-down reports analyze trends and patterns across the entire dataset.
Drill-down reports enable users to delve deeper into data by navigating through different levels of detail, providing a more granular understanding. In contrast, executive summary reports offer a high-level overview without detailed exploration.
The process of using a large number of decision trees to improve prediction accuracy is known as _______.
- Ensemble Learning
- Logistic Regression
- Naive Bayes
- Support Vector Machine
The process of using a large number of decision trees to improve prediction accuracy is known as Ensemble Learning. It involves combining the predictions of multiple models to achieve better overall performance. Logistic Regression, Naive Bayes, and Support Vector Machine are different machine learning approaches.
What will be the output of print(8 // 3) in Python?
- 2
- 2
- 2.6667
- 3
The double forward slash // in Python represents integer division, which discards the remainder. Therefore, the output is 2.