To extract data from a website, a scraper typically parses the website's ________ structure.
- CSS
- Database
- HTML
- JavaScript
A scraper typically parses the website's HTML structure to extract data. HTML (Hypertext Markup Language) defines the structure of web pages, and parsing it allows the scraper to locate and extract the relevant information.
What is the primary purpose of a dashboard in data reporting?
- Conducting data analysis
- Creating data backups
- Displaying key metrics and insights
- Storing raw data
The primary purpose of a dashboard is to display key metrics and insights in a visually accessible manner. Dashboards provide a snapshot of essential information, allowing users to quickly grasp the current status and trends without delving into detailed reports.
Which technology is essential for real-time processing of Big Data?
- Apache Kafka
- Hadoop
- MapReduce
- Spark
Apache Spark is essential for real-time processing of Big Data. It provides in-memory processing capabilities, making it faster than traditional batch processing frameworks like Hadoop's MapReduce.
Which component in a data warehouse architecture is responsible for querying and analyzing data?
- Data Mart
- Data Warehouse
- ETL Engine
- Query and Analysis Layer
The Query and Analysis Layer in a data warehouse architecture is responsible for querying and analyzing data. This component enables users to retrieve and analyze information stored in the data warehouse to derive meaningful insights.
In Big Data processing, ________ is a scripting language used with Hadoop to simplify MapReduce programming.
- Pig
- Python
- R
- Scala
Pig is a scripting language used in Big Data processing with Hadoop to simplify MapReduce programming. It provides a high-level platform for creating MapReduce programs without the need for complex Java coding. Python, R, and Scala are also used in the context of Big Data but serve different purposes.
How does A/B testing contribute to data-driven decision making?
- It analyzes historical data to make predictions about future trends.
- It focuses on creating visual representations of data for better understanding.
- It helps in comparing two versions of a webpage or app to determine which performs better.
- It involves analyzing data in real-time.
A/B testing is a method for comparing two versions of a webpage or app to determine which performs better. It contributes to data-driven decision making by providing empirical evidence on the effectiveness of changes, enabling informed decisions based on actual user responses.
What is the output of print({i: i * i for i in range(3)})?
- {0: 0, 1: 1, 2: 16}
- {0: 0, 1: 1, 2: 2}
- {0: 0, 1: 1, 2: 4}
- {0: 0, 1: 1, 2: 8}
The output is a dictionary comprehension where each key-value pair is the square of the corresponding value from the range(3). Therefore, the correct output is {0: 0, 1: 1, 2: 4}.
How should a data analyst approach the task of convincing stakeholders about a data-driven decision that goes against conventional wisdom?
- Aligning with conventional wisdom to maintain stakeholder trust.
- Avoiding discussions about the decision's data-driven nature to prevent resistance.
- Ignoring conventional wisdom and implementing the decision without stakeholder buy-in.
- Presenting a compelling narrative backed by data, highlighting the evidence supporting the decision.
Convincing stakeholders requires presenting a compelling narrative supported by data. Emphasizing the evidence and reasoning behind the decision helps build confidence and trust in the data-driven approach, even if it challenges conventional wisdom.
In managing a data project, what is a 'data roadmap' and why is it important?
- It focuses on data storage infrastructure
- It is a strategy for data security implementation
- It is a visual representation of data flows within the organization
- It outlines the project timeline and milestones related to data initiatives
A data roadmap in data project management outlines the project timeline, milestones, and key activities related to data initiatives. It provides a strategic view, helping teams understand the sequence of tasks and dependencies. It is not specifically about data security or storage infrastructure.
If x = [10, 20, 30, 40, 50], what is the output of print(x[-2])?
- 20
- 30
- 40
- 50
The output is the element at the index -2 in the list, which is 40. Negative indexing counts elements from the end of the list.