In a case study where a company is facing declining sales, what analysis technique would be most effective in identifying the root causes?
- Cohort Analysis
- Regression Analysis
- SWOT Analysis
- Trend Analysis
Regression Analysis would be most effective in identifying the root causes of declining sales. It allows for the exploration of relationships between variables and can help uncover factors contributing to the decline. SWOT Analysis, Trend Analysis, and Cohort Analysis focus on different aspects and may not provide the same depth of insight.
To ensure clarity in communication, a data analyst should avoid using too much _______.
- Ambiguity
- Complexity
- Jargon
- Redundancy
A data analyst should avoid using too much complexity in their communication to ensure clarity. This includes avoiding unnecessary technical jargon, which may hinder understanding for non-technical stakeholders.
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.