The ________ framework is used for machine learning and interactive data analysis over large data sets.
- Flink
- Hadoop
- Spark
- Storm
The Spark framework is commonly used for machine learning and interactive data analysis over large datasets. While Hadoop is a distributed storage and processing framework, Spark provides a more flexible and efficient alternative for certain data processing tasks. Flink and Storm are also frameworks used in distributed data processing.
________ is a common tool used in Python for sending HTTP requests to an API.
- BeautifulSoup
- Flask
- Requests
- Selenium
'Requests' is a common tool used in Python for sending HTTP requests to an API. It provides a simple and convenient way to interact with web services, making it a popular choice for tasks involving API communication.
The use of _______ scales in maps can significantly alter the perceived message of the visualized data.
- Consistent
- Different
- Distorted
- Geographic
The use of distorted scales in maps can significantly alter the perceived message of the visualized data. It's crucial to use consistent and accurate scales to avoid misinterpretation of spatial patterns.
In a data warehouse, ________ is the process of combining data from different sources into a single, integrated view.
- Data Integration
- Data Mining
- Data Segregation
- ETL (Extract, Transform, Load)
ETL (Extract, Transform, Load) is the process used in a data warehouse to combine data from different sources into a single, integrated view. It involves extracting data, transforming it to fit the warehouse's schema, and loading it into the warehouse.
For complex data sets, _______ visualization helps to simplify data into a more understandable format.
- Cluster
- Hierarchical
- Tree
- Treemap
Cluster visualization is effective for complex data sets as it groups similar data points together, simplifying the overall representation and making it more understandable.
______ Per Employee' is a performance metric that evaluates the productivity of the workforce.
- Efficiency
- Output
- Profit
- Revenue
'Output Per Employee' is a performance metric that measures the amount of output or work produced by each employee. It is an indicator of workforce productivity. In this context, the blank should be filled with "Output."
The Pandas function _______ is essential for reshaping data from wide format to long format.
- melt()
- pivot_long()
- reshape()
- wide_to_long()
The melt() function in Pandas is essential for reshaping data from wide format to long format. It unpivots the data, making it suitable for various analyses and visualizations.
For a company observing seasonal sales patterns, which time series model would be best suited to forecast future sales?
- Autoregressive Integrated Moving Average (ARIMA)
- Exponential Smoothing State Space Models (ETS)
- Long Short-Term Memory (LSTM) Networks
- Seasonal Decomposition of Time Series (STL)
Seasonal Decomposition of Time Series (STL) is well-suited for capturing and forecasting seasonal patterns in time series data. It decomposes the time series into components such as trend, seasonality, and remainder. Other models like ARIMA, ETS, and LSTMs may be used for different patterns but STL is specifically designed for seasonality.
For a sales dashboard, what type of visualization is typically used to represent sales trends over time?
- Line Chart
- Pie Chart
- Radar Chart
- Scatter Plot
A line chart is typically used in a sales dashboard to represent sales trends over time. Line charts are effective for showing the progression of sales data, making it easy to identify patterns, fluctuations, and overall trends.
How is 'Cost Per Acquisition' (CPA) significant in marketing performance analysis?
- CPA measures the cost of acquiring new customers through marketing efforts.
- CPA determines the overall marketing budget for a campaign.
- CPA assesses the total revenue generated by a marketing campaign.
- CPA evaluates the brand awareness created by marketing activities.
Cost Per Acquisition (CPA) is significant in marketing performance analysis as it measures the cost incurred to acquire a new customer through marketing efforts. It helps assess the efficiency and effectiveness of marketing campaigns in acquiring valuable customers. The other options are not accurate descriptions of CPA.