In data transformation techniques, when values in a dataset are raised to a power to amplify the differences between observations, it is termed as _______ transformation.
- Exponential
- Logarithmic
- Polynomial
- Square Root
Explanation:
A data warehouse administrator discovers that a significant amount of historical data has been corrupted. Which recovery method would be the most efficient to restore the data to its state from one week ago?
- Full Backup Restore
- Incremental Backup Restore
- Point-in-Time Recovery
- Snapshot Restore
When historical data has been corrupted, a point-in-time recovery is the most efficient method to restore the data to its state from one week ago. This approach allows you to specify a specific date and time to recover the data to, ensuring that the data reflects its state at that moment.
What is the primary difference between traditional Data Warehousing and Real-time BI?
- Data Warehousing focuses on historical data, while Real-time BI is forward-looking.
- Data Warehousing focuses on historical data, while Real-time BI provides access to data as it's generated.
- Data Warehousing processes data in real-time, while Real-time BI uses batch processing.
- Data Warehousing stores data in flat files, while Real-time BI uses a relational database.
The primary difference between traditional Data Warehousing and Real-time Business Intelligence (BI) is that Data Warehousing typically deals with historical data, while Real-time BI provides access to data as it's generated or in near-real-time. Real-time BI enables faster decision-making based on up-to-the-minute data.
Which term describes the categorical information about a measure in a data model?
- Attribute
- Dimension
- Metric
- Quantity
The term that describes the categorical information about a measure in a data model is "Dimension." Dimensions provide context to measures and help in organizing and categorizing data. They are essential for slicing and dicing data in multidimensional analysis.
Which security measure involves limiting access to data based on user roles or profiles in a data warehouse?
- Access Control Lists
- Authentication
- Encryption
- Role-Based Access Control
Role-Based Access Control (RBAC) is a security measure that involves limiting access to data based on user roles or profiles in a data warehouse. RBAC ensures that users can only access the data and perform actions that are appropriate to their roles within the organization.
In which modeling phase would you typically determine indexes, partitioning, and clustering?
- Conceptual Modeling
- Dimensional Modeling
- Logical Modeling
- Physical Modeling
Indexes, partitioning, and clustering are typically determined in the Physical Modeling phase of database design. This phase deals with the actual implementation of the database, considering hardware and performance optimization. Indexes improve query performance, partitioning helps manage large datasets, and clustering affects the physical storage layout.
What type of architecture in data warehousing is characterized by its ability to scale out by distributing the data, processing workload, and query loads across servers?
- Client-Server Architecture
- Data Warehouse Appliance
- Massively Parallel Processing (MPP)
- Monolithic Architecture
Massively Parallel Processing (MPP) architecture is known for its ability to scale out by distributing data, processing workloads, and query loads across multiple servers. This architecture enhances performance and allows data warehousing systems to handle large volumes of data and complex queries.
What is the main advantage of distributing data across multiple storage devices or locations in a Distributed Data Warehousing setup?
- Enhanced data redundancy
- Improved data security
- Scalability and load balancing
- Simplified data management
The main advantage of distributing data across multiple storage devices or locations in a Distributed Data Warehousing setup is scalability and load balancing. It allows for the efficient distribution of data, ensuring that query workloads can be evenly spread across resources, thus optimizing performance and handling increased data volumes effectively.
In cloud environments, data redundancy and high availability are often achieved through _______ across multiple zones or regions.
- Data Elevation
- Data Isolation
- Data Mirroring
- Data Replication
In cloud environments, data redundancy and high availability are frequently accomplished through "Data Replication," which involves duplicating data across multiple zones or regions. This redundancy ensures that data remains accessible and intact, even in the event of hardware failures or other disruptions.
Which type of chart is most suitable for displaying the distribution of a single continuous dataset?
- Bar Chart
- Histogram
- Line Chart
- Pie Chart
A histogram is the most suitable chart for displaying the distribution of a single continuous dataset. It shows the frequency of data points in specific intervals, providing insights into the data's distribution and central tendencies. It's commonly used in statistics and data analysis.