What does the acronym KPI stand for in business analytics?
- Key Performance Indicator
- Key Performance Insight
- Key Progress Indicator
- Key Project Insight
KPI stands for Key Performance Indicator. These are measurable values that demonstrate how effectively a company is achieving key business objectives. KPIs help in evaluating performance and making informed decisions.
The process of continuously checking and ensuring the quality of data throughout the project life cycle is known as _________.
- Data Mining
- Data Quality Management
- Data Validation
- Data Wrangling
Data Quality Management involves continuously checking and ensuring the quality of data throughout the project life cycle. It includes processes to identify and correct errors, inconsistencies, and inaccuracies in the data.
What is the impact of big data technologies on data-driven decision making?
- Enhanced scalability and processing speed
- Increased data security concerns
- Limited applicability to small datasets
- Reduced need for data analysis
Big data technologies, with enhanced scalability and processing speed, enable organizations to process and analyze vast amounts of data quickly. This facilitates more informed and timely data-driven decision making.
In a scenario where a business needs to perform complex data analyses with minimal upfront investment, which cloud service would be most appropriate?
- AWS Glue
- AWS Redshift
- Azure Data Lake Analytics
- Google BigQuery
Google BigQuery would be most appropriate. It is a serverless, highly scalable, and cost-effective data warehouse that allows complex data analyses with minimal upfront investment.
When dealing with time series data, which type of data structure is most efficient for sequential access and why?
- Array
- Linked List
- Queue
- Stack
An array is most efficient for sequential access in time series data. This is because arrays provide direct access to elements based on their indices, making it faster to retrieve data points in sequential order. Linked lists involve traversal, while queues and stacks are not as suitable for direct access.
What is the primary function of the SELECT statement in SQL?
- Create a new table
- Delete records from a table
- Retrieve data from one or more tables
- Update data in a table
The primary function of the SELECT statement in SQL is to retrieve data from one or more tables. It allows you to specify the columns you want to retrieve and apply conditions to filter the results.
What is the equivalent of SQL's JOIN operation in dplyr for merging two datasets?
- combine()
- inner_join()
- join()
- merge()
In dplyr, the inner_join() function is equivalent to SQL's JOIN operation. It merges two datasets based on matching keys, similar to the merge() function in Pandas. combine() and join() have different functionalities and are not direct equivalents to SQL JOIN.
For sequential pattern mining, the _______ algorithm is widely used to identify frequent sequences in data sets.
- Apriori
- DBSCAN
- FP-Growth
- K-Means
The FP-Growth algorithm is widely used for sequential pattern mining. It efficiently identifies frequent sequences in data sets by employing a tree structure to represent the relationships between sequential patterns.
For a dashboard handling large datasets, what strategy is crucial for maintaining performance and speed?
- Data Compression
- Data Duplication
- Data Normalization
- Indexing
Indexing is crucial for maintaining performance and speed in a dashboard handling large datasets. It allows for efficient data retrieval by creating a data structure that accelerates the retrieval of rows based on the values in one or more columns.
For recursive queries in SQL, the ________ keyword is often used.
- CONNECT BY
- HIERARCHY
- RECURSIVE
- WITH
The WITH keyword, also known as Common Table Expressions (CTE), is often used in SQL for handling recursive queries. It allows you to define temporary result sets that can be referenced within the context of the main query.