For a dimension where the historical data is not tracked and only the current value is retained, which type of Slowly Changing Dimension (SCD) is implemented?
- SCD Type 1
- SCD Type 2
- SCD Type 3
- SCD Type 4
In cases where only the current value is retained in a dimension and historical data is not tracked, you would implement a Slowly Changing Dimension (SCD) Type 1. This type overwrites the existing data with the new data without maintaining a history.
A _______ is a large-scale data storage architecture that is specially designed to store, manage, and retrieve massive amounts of data.
- Data Cube
- Data Lake
- Data Silo
- Data Warehouse
A "Data Lake" is a large-scale data storage architecture designed to store, manage, and retrieve vast amounts of data. Unlike traditional databases, a data lake can accommodate both structured and unstructured data, making it a valuable asset in big data environments.
In the context of BI tools, what does "self-service" typically refer to?
- Business users independently accessing and analyzing data
- Data security measures in place
- IT departments controlling all data access
- Users creating their own data silos
"Self-service" in the context of BI tools typically refers to business users having the capability to independently access and analyze data without requiring constant IT intervention. This empowers end-users to perform ad-hoc reporting and analysis, reducing their reliance on IT for data-related tasks.
Which OLAP operation involves viewing the data cube by selecting two dimensions and excluding the others?
- Dicing
- Drilling
- Pivoting
- Slicing
In OLAP (Online Analytical Processing), the operation of viewing the data cube by selecting two dimensions while excluding others is known as "Dicing." Dicing allows you to focus on specific aspects of the data cube to gain insights into the intersection of chosen dimensions.
Which of the following is NOT typically a function of ETL tools?
- Data Analysis
- Data Extraction
- Data Loading
- Data Transformation
ETL tools are primarily responsible for data Extraction, Transformation, and Loading (ETL). Data Analysis is typically not a function of ETL tools. Data analysis is performed using BI (Business Intelligence) tools or other analytics platforms after the data has been loaded into the data warehouse.
When considering Data Warehousing, _______ is a subset of the data warehouse, particularly suited to a specific business line or team.
- Data Dump
- Data Mart
- Data Silo
- Data Swamp
In Data Warehousing, a "Data Mart" is a subset of the data warehouse that is specifically designed and tailored to the needs of a particular business line or team within an organization. It contains a focused set of data for a specific purpose, making it a valuable component of a data warehousing system.
In ETL, the process of combining data from different sources and providing a unified view is known as data _______.
- Aggregation
- Convergence
- Fusion
- Integration
In ETL (Extract, Transform, Load), the process of combining data from different sources and creating a unified view is known as data integration. This step involves cleaning, transforming, and harmonizing data to ensure consistency and accuracy for analytical or reporting purposes.
What is the primary objective of capacity planning in IT infrastructure?
- Ensuring Adequate Resources
- Increasing Software Complexity
- Optimizing Network Speed
- Reducing Energy Consumption
Capacity planning in IT infrastructure aims to ensure that there are enough resources (e.g., CPU, memory, storage) to meet current and future demand. This involves balancing cost, performance, and growth to prevent resource shortages or overprovisioning. It's crucial for efficient IT operations.
You are tasked with designing an API that will be accessed by various clients. How would you decide whether to use API keys or an alternative form of authentication?
- Always use API keys as they are the most secure form of authentication.
- Evaluate the specific use case and security requirements before choosing an authentication method.
- Use client certificates exclusively for authentication.
- Use OAuth 2.0 for all authentication scenarios.
The correct approach is to evaluate the specific use case and security requirements when deciding on the authentication method. API keys are a valid option in some scenarios, but other methods like OAuth 2.0 or client certificates may be more suitable based on the context and security needs of the API and clients. There is no one-size-fits-all answer.
Consider a situation where a large organization is deciding between using RESTful APIs and SOAP APIs for their new web service. What factors should be considered in making this decision?
- Choose SOAP APIs for better performance and scalability.
- Consider industry standards, legacy system compatibility, and specific project requirements.
- Evaluate the simplicity and ease of use of RESTful APIs.
- Focus on SOAP APIs to take advantage of REST features.
When deciding between RESTful and SOAP APIs for a new web service, it's important to consider factors like industry standards, compatibility with existing systems, and project requirements. The choice should align with the organization's specific needs and not be solely based on simplicity or perceived performance benefits.