If you are analyzing real-time social media data, which Big Data technology would you use to process and analyze data streams?

  • Apache Flink
  • Apache Hadoop
  • Apache Kafka
  • Apache Spark
Apache Kafka is a distributed streaming platform that is commonly used to handle real-time data streams. It allows for the processing and analysis of data in real-time, making it a suitable choice for analyzing social media data as it is generated.

Which machine learning technique is typically used for making predictions based on continuous data?

  • Classification
  • Clustering
  • Dimensionality Reduction
  • Regression
Regression is the machine learning technique used for making predictions based on continuous data. It models the relationship between the independent variables and the dependent variable, allowing for the prediction of numeric values.

A _______ framework is often used to ensure consistency and scalability in the development of enterprise-level dashboards.

  • Dashboard
  • Design
  • Framework
  • Visualization
A Framework is often used to ensure consistency and scalability in the development of enterprise-level dashboards. Frameworks provide a structured approach to designing and building dashboards, promoting best practices and efficiency in development.

What distinguishes the scripting and customization capabilities of Tableau compared to Power BI?

  • Power BI offers a more extensive range of scripting languages, while Tableau focuses on JavaScript.
  • Tableau allows users to create custom calculations using a proprietary scripting language, while Power BI supports JavaScript for customization.
  • Tableau provides a more intuitive drag-and-drop interface for customization, while Power BI uses a command-line interface.
  • Tableau uses Python scripting for advanced analytics, while Power BI relies on R scripting.
Tableau offers a proprietary scripting language for creating custom calculations, while Power BI supports JavaScript. This distinction influences the approach users take when scripting and customizing within each tool.

Which method is commonly used to ensure data accuracy and consistency across different systems?

  • Data Compression
  • Data Encryption
  • Data Indexing
  • Master Data Management (MDM)
Master Data Management (MDM) is commonly used to ensure data accuracy and consistency across different systems. MDM involves the establishment and maintenance of a central repository for master data, ensuring that consistent and accurate information is used across an organization.

For a business process improvement case study, the _______ framework is commonly applied to identify inefficiencies and areas for improvement.

  • Agile
  • PDCA
  • SWOT
  • Six Sigma
In business process improvement case studies, the Six Sigma framework is commonly applied to identify inefficiencies, reduce variability, and enhance overall process performance. Six Sigma focuses on data-driven decision-making and process optimization.

What is the output of print(list("123"[::-1])) in Python?

  • ['1', '2', '3']
  • ['3', '2', '1']
  • [1, 2, 3]
  • [3, 2, 1]
The output will be a list containing the characters of the string "123" in reverse order. The [::-1] slicing reverses the string, and list() converts it into a list of characters.

What type of database model is SQL based on?

  • Hierarchical
  • Network
  • Object-Oriented
  • Relational
SQL is based on the relational database model. It uses tables to organize data and relationships between them, making it a powerful and widely used language for managing relational databases.

If a company needs to process large volumes of unstructured data, which type of DBMS should they consider?

  • Hierarchical
  • NoSQL
  • Object-Oriented
  • Relational
In scenarios involving large volumes of unstructured data, a NoSQL database management system (DBMS) is well-suited. NoSQL databases offer flexibility and scalability, making them suitable for handling unstructured data types like documents, graphs, and key-value pairs.

When presenting a data-driven story about population growth in various regions, which visualization technique would best convey this information?

  • Box-and-Whisker Plot
  • Choropleth Map
  • Gauge Chart
  • Scatter Plot
A Choropleth Map would be the most effective visualization technique for conveying information about population growth in various regions. It uses color-coding to represent data values across geographical areas, making it ideal for displaying regional variations.