In big data applications, a _______ data structure is often used to efficiently handle sparse data sets.
- B-Tree
- Hash Table
- Linked List
- Sparse Matrix
A Sparse Matrix data structure is commonly used in big data applications to efficiently handle sparse data sets, where most of the elements are zero. It helps in saving memory and computational resources.
The _______ theorem is a fundamental principle in probability theory that describes the distribution of sample means.
- Bayes'
- Central Limit
- Normal
- Poisson
The Central Limit Theorem states that the distribution of sample means approaches a normal distribution, regardless of the shape of the original population distribution. It's a key concept in statistics and probability theory.
To prioritize tasks effectively, one must differentiate between urgent and _______ tasks.
- Important
- Optional
- Routine
- Unnecessary
To prioritize tasks effectively, one must differentiate between urgent and important tasks. This distinction helps in focusing on tasks that contribute significantly to goals and objectives, leading to better time management and productivity.
When analyzing time series data for stock market trends in R, which package would you use for advanced time series analysis?
- forecast
- quantmod
- xts
- zoo
In R, the forecast package is commonly used for advanced time series analysis, providing tools for forecasting future values based on historical data. While packages like zoo and xts handle time series data, forecast is specifically designed for forecasting in the context of time series analysis.
For the list x = [1, 2, 3]; print(____(x)), the output is [3, 2, 1].
- reversed
- sorted
- x.reverse
- x.sort
The reversed function returns a reverse iterator, and when used with list(), it produces a reversed list.
A ________ is a data structure that can hold a collection of elements and allows for the retrieval of the smallest (or largest) element in constant time.
- Array
- Heap
- Queue
- Stack
A Heap is a data structure that can hold a collection of elements and allows for the retrieval of the smallest (or largest) element in constant time. This property makes heaps useful for priority queue implementations.
_______ is a critical skill for interpreting data and making informed decisions based on that data.
- Data Literacy
- Data Processing
- Data Visualization
- Statistical Analysis
Data Literacy is a critical skill for interpreting data and making informed decisions based on that data. It involves the ability to understand, interpret, and communicate effectively with data.
Return on _______ Invested' is an advanced financial metric for assessing capital efficiency.
- Asset
- Capital
- Equity
- Investment
'Return on Investment' (ROI) is a financial metric that evaluates the efficiency of an investment. It is calculated by dividing the net profit from the investment by the initial investment cost. In this context, the blank should be filled with "Investment."
If you are tasked with improving the efficiency of an ETL process for a large-scale data warehouse, which strategy would you prioritize?
- Compression Techniques
- Data Encryption
- Incremental Loading
- Parallel Processing
In the context of a large-scale data warehouse, prioritizing parallel processing can significantly enhance ETL efficiency by enabling the simultaneous processing of multiple data tasks. This reduces overall processing time and enhances system performance.
In a healthcare analytics dashboard, a _______ map can be used to visualize geographical distribution of patient data.
- Choropleth
- Geographic
- Heat
- Scatter
In a healthcare analytics dashboard, a Choropleth map can be used to visualize the geographical distribution of patient data. Choropleth maps use color variations to represent values across geographic regions, making them ideal for displaying spatial patterns in data.