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.
To combine rows from two or more tables based on a related column, you use a SQL ________.
- COMBINE
- JOIN
- MERGE
- UNION
In SQL, the JOIN keyword is used to combine rows from two or more tables based on a related column. It allows you to retrieve data from multiple tables based on a related column between them.
How does 'commit' function in Git?
- To copy changes from the local repository to the remote repository
- To delete files from the repository
- To merge branches in Git
- To save changes in the local repository
In Git, 'commit' is used to save changes made to the local repository. It creates a snapshot of the changes, making it possible to track the project's history and revert to previous states if needed. Committing is a crucial step in the version control process.
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.
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.
When designing a dashboard for an educational institution, what features should be included to track student performance and engagement effectively?
- Aesthetic background images
- Static tables of test scores
- Student progress timelines and achievement badges
- Word clouds of student feedback
Student progress timelines and achievement badges are effective features for tracking student performance and engagement in an educational dashboard. They provide a visual representation of progress and accomplishments, fostering motivation. Word clouds and static tables may not capture the dynamic nature of student engagement effectively, and aesthetic background images are more for decoration than analytical value.
To change the structure of a database table, the _______ SQL statement is used.
- ALTER
- CHANGE
- MODIFY
- UPDATE
The ALTER SQL statement is used to modify the structure of a database table. It can be used to add, delete, or modify columns, as well as change data types or constraints.