Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?
Correct Answer:D
Python is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language. Python has a simple and expressive syntax that makes it easy to read and write code. Python also has a rich set of libraries and frameworks that support various tasks and applications in data analytics, such as data manipulation, visualization, machine learning, natural language processing, web scraping, and more. Some examples of popular Python libraries for data analytics are pandas, numpy, matplotlib, seaborn, scikit-learn, nltk, and beautifulsoup. Python is different from other data analytics tools that are not programming languages but rather software applications or platforms that provide graphical user interfaces (GUIs) for data analysis and visualization. Some examples of these tools are SAS, Microsoft Power BI, IBM SPSS. Therefore, the correct answer is D. References: [What is Python? | Definition and Examples], [Python Libraries for Data Science]
Which of the following database schemas features normalized dimension tables?
Correct Answer:B
The correct answer is B. Snowflake.
A snowflake schema is a type of database schema that features normalized dimension tables. A database schema is a way of organizing and structuring the data in a database. A dimension table is a table that contains descriptive attributes or characteristics of the data, such as product name, category, color, etc. A normalized table is a table that follows the rules of normalization, which is a process of reducing data redundancy and improving data integrity by organizing the data into smaller and simpler tables12
A snowflake schema is a variation of the star schema, which is another type of database
schema that features denormalized dimension tables. A denormalized table is a table that does not follow the rules of normalization, and may contain redundant or duplicated data. A star schema consists of a central fact table that contains quantitative measures or facts, such as sales amount, order quantity, etc., and several dimension tables that are directly connected to the fact table. A snowflake schema differs from a star schema in that the dimension tables are further split into sub-dimension tables, creating a snowflake-like shape13
A snowflake schema has some advantages and disadvantages over a star schema. Some advantages are:
✑ It reduces the storage space required for the dimension tables, as it eliminates the
redundant data.
✑ It improves the data quality and consistency, as it avoids the update anomalies that may occur in denormalized tables.
✑ It allows more detailed analysis and queries, as it provides more levels of dimensions.
Some disadvantages are:
✑ It increases the complexity and number of joins required to retrieve the data from multiple tables, which may affect the query performance and speed.
✑ It reduces the readability and simplicity of the schema, as it has more tables and relationships to understand.
✑ It may require more maintenance and administration, as it has more tables to manage and update13
Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?
Correct Answer:D
The option that is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language is Python. Python is a popular and versatile programming language that can be used for various purposes, such as web development, software development, automation, machine learning, and data analysis. Python has many features and libraries that make it suitable for data analytics, such as its simple syntax, dynamic typing, multiple paradigms, built-in data structures, NumPy, pandas, matplotlib, scikit-learn, etc. The other options are not programming languages, but software applications or platforms that are used for data analytics or related tasks. SAS is a software suite that provides advanced analytics, business intelligence, data management, and predictive analytics capabilities. Microsoft Power BI is a business analytics service that provides interactive visualizations and business intelligence capabilities. IBM SPSS is a software package that offers statistical analysis, data mining, text analytics, and predictive analytics capabilities. Reference: Python For Data Analysis - DataCamp
Alex wants to use data from his corporate sale, CRM, and shipping systems to try and predict future sales.
Which of the following systems is the most appropriate? Choose the best answer.
Correct Answer:C
Correct Answer: C. Data Warehouse.
Data warehouse bring together data from multiple systems used by an organization. A data mart is too narrow, as Alex needs data from across multiple divisions.
OLAP is a broad term of analytical processing, and OLTP systems are transactional and not ideal for this task.
Which one of the following in NOT a common data integration tool?
Correct Answer:A
Cross-site Scripting (XSS) is a security vulnerability usually found in websites and/or web applications that accept user input.
XSS is a client-side vulnerability that targets other application users, while SQL injection is a server-side vulnerability that targets the application's database. How do I prevent XSS in PHP? Filter your inputs with a whitelist of allowed characters and use type hints or type casting.
A junior web developer is developing a new application where users can upload short videos. The first task is to create a homepage that shows the headline "Upload Your Short Videos" and a clickable button that says "upload now".
Which of the following HTML commands would help the developer to complete the task successfully?
Correct Answer:C tag defines a paragraph of text. The
The HTML commands that would help the developer to complete the task successfully areUpload Your Short Videos
and <button>upload now</button>. The tag defines a heading level 1, which is the largest and most important heading on a webpage. The <button> tag defines a clickable button that can perform some action when clicked. The other options are not suitable for the task, as they either use the wrong tags or do not create a clickable button. The tag defines a section of text with no specific meaning or formatting. The