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.
How does Git's distributed version control system differ from centralized systems?
- Centralized systems have better performance than Git.
- Each developer has a local repository, allowing for offline work and faster operations.
- Git does not support branching and merging.
- Git requires a constant connection to the central server for all operations.
In a distributed version control system like Git, each developer has a local repository, enabling them to work offline and perform operations more quickly. This decentralization is a key differentiator from centralized systems, which rely on a central server for version control.
How do you select distinct values from a column in a SQL table?
- DIFFERENT
- DISTINCT
- SELECT UNIQUE
- UNIQUE
The DISTINCT keyword in SQL is used to retrieve unique values from a specified column in a table. It ensures that only distinct values are returned in the result set, eliminating duplicate entries. This is helpful when you want to see a list of unique values in a specific column.
The process of _________ involves identifying, understanding, and documenting how data moves across an organization.
- Data Analysis
- Data Extraction
- Data Mapping
- Data Validation
The process of Data Mapping involves identifying, understanding, and documenting how data moves across an organization. It helps in understanding data flows and relationships between different systems.
Which SQL clause is used to filter records based on more than one condition?
- AND
- FILTER
- OR
- WHERE
The OR operator in SQL is used to filter records based on more than one condition. It allows you to retrieve records that satisfy either of the specified conditions, providing flexibility in querying the database. The WHERE clause is used for a single condition, and AND combines conditions, but OR broadens the filter.
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.