When executing a, b = 10, 20; print(____) to swap and print a and b, the output is 20, 10.
- a
- a, b
- b
- b, a
The correct syntax to swap the values of variables a and b is b, a = a, b. This statement exchanges the values of a and b, resulting in the output 20, 10.
_________ in Tableau provides a powerful way to create complex calculations and data transformations.
- Aggregation
- Calculated Field
- Dashboard
- Data Blending
The Calculated Field feature in Tableau allows users to create custom calculations based on existing fields. It is powerful for creating complex calculations and transforming data within Tableau.
In the context of cloud computing, what advanced technology is often integrated with big data platforms for predictive analytics?
- Blockchain
- Internet of Things (IoT)
- Machine Learning
- Virtualization
Machine Learning is often integrated with big data platforms in the cloud for predictive analytics. It enables the systems to learn patterns from large datasets and make predictions, enhancing data analysis capabilities.
The process of _______ in data-driven decision making involves understanding the hidden patterns and relationships in large datasets.
- Data Cleaning
- Data Exploration
- Data Integration
- Data Pattern Recognition
The process of data pattern recognition in data-driven decision making involves uncovering hidden patterns and relationships in large datasets. This step is essential for gaining insights and making informed decisions based on the data.
What is the primary function of a Database Management System (DBMS)?
- Calculate complex mathematical operations
- Control external hardware devices
- Display data on the screen
- Store and manage data
The primary function of a DBMS is to store and manage data efficiently. It provides a systematic way to organize, retrieve, and manipulate data, ensuring data integrity and security.
For a recommendation system in an e-commerce platform, which machine learning technique would be most effective?
- Collaborative Filtering
- Decision Trees
- Linear Regression
- Naive Bayes
Collaborative filtering is commonly used in recommendation systems as it leverages user behavior and preferences to make personalized recommendations. Decision trees, linear regression, and Naive Bayes are not as well-suited for this task as they do not inherently capture user-item interactions for recommendations.
_______ decomposition breaks a time series into systematic and unsystematic components.
- Additive
- Multiplicative
- Seasonal
- Trend
Multiplicative decomposition is used when the variations in a time series exhibit proportional behavior. It breaks down the time series into systematic (trend, seasonal) and unsystematic (remainder) components.
In cloud computing, what is the term used for the ability to scale resources up or down automatically based on demand?
- Adaptive Scaling
- Auto Scaling
- Dynamic Scaling
- Elastic Scaling
The term used for the ability to scale resources up or down automatically based on demand in cloud computing is often referred to as Auto Scaling. This feature helps optimize resource usage and ensures efficient performance during varying workloads.
During a project update meeting, a data analyst is asked about an unexpected trend in the data. The analyst should:
- Deflect the question and focus on other positive aspects of the project.
- Explain the unexpected trend, its potential causes, and propose further investigation or analysis if needed.
- Express uncertainty and suggest consulting with another team member.
- Minimize the importance of the unexpected trend.
The analyst should explain the unexpected trend, providing insights into potential causes and suggesting further investigation. Transparency and proactive problem-solving contribute to effective communication in a project update meeting.
What is a primary function of BI tools like Tableau and Power BI in data analysis?
- Data Cleaning
- Data Encryption
- Data Storage
- Data Visualization
The primary function of BI tools like Tableau and Power BI is data visualization. These tools help analysts transform raw data into meaningful visualizations, such as charts and graphs, to gain insights and make informed decisions.