Scenario: A large e-commerce platform is experiencing rapid growth in its customer base. As a database administrator, how would you utilize partitioning to handle the increasing data volume?
- No need for partitioning in this scenario
- Partitioning based on customer demographics
- Partitioning based on date ranges
- Partitioning based on product categories
In this scenario, partitioning based on date ranges is a suitable strategy. It allows for the efficient management of historical data, making it easier to archive or delete older records while ensuring quick access to recent data. This helps in optimizing performance and maintenance in a rapidly growing database.
What is the role of compression techniques in storage optimization?
- Decrease data accessibility
- Improve data integrity
- Increase data redundancy
- Reduce storage space requirements
Compression techniques play a crucial role in storage optimization by reducing the amount of storage space required to store data. By compressing data, redundant or repetitive information is eliminated or replaced with shorter representations, resulting in significant savings in storage resources while maintaining data integrity and accessibility.
How do you represent disjoint and overlapping constraints in an ERD with superclasses and subclasses?
- Employing a triangle for disjoint and a hexagon for overlapping
- Representing both with a diamond shape
- Using a circle for disjoint and an oval for overlapping
- Utilizing a square for disjoint and a rectangle for overlapping
Disjoint constraints in an ERD with superclasses and subclasses are represented by a square, while overlapping constraints are depicted by a circle. A diamond shape is commonly used to denote the generalization relationship between superclass and subclasses.
In class-table inheritance, each subclass is represented by a _______ table.
- Common
- Derived
- Separate
- Superclass
In class-table inheritance, each subclass is represented by a separate table. This design approach allows for a clear distinction between the attributes specific to each subclass while maintaining a connection to the superclass.
What is the role of an attribute in a database entity?
- Characteristic of the entity
- Data type of the entity
- Identifier of the entity
- Relationship with other entities
An attribute in a database entity represents a characteristic or property of the entity, such as a name, age, or address. It provides details about the entity and contributes to defining its structure.
What is collaboration in data modeling?
- A method for data validation
- A process of creating data models individually
- Documenting data models after completion
- The act of working together on developing data models
Collaboration in data modeling refers to the process of working together to develop data models. This involves input from various stakeholders to ensure that the model accurately represents the organization's requirements. It fosters teamwork and a shared understanding of data structures.
Scenario: A retail company wants to track changes in product prices over time. Which type of Slowly Changing Dimensions (SCD) would you recommend and why?
- Type 1 SCD
- Type 2 SCD
- Type 3 SCD
- Type 4 SCD
For tracking changes in product prices over time, Type 2 Slowly Changing Dimensions (SCD) would be recommended. This type maintains a history of changes by creating new records for each change, preserving the old ones. It allows for accurate tracking of product price changes without altering existing records.
The connections between nodes in a graph database are called _______.
- Links
- Paths
- Relationships
- Ties
The connections between nodes in a graph database are called "Relationships." These relationships define the associations between different entities represented by the nodes. In a graph structure, relationships play a crucial role in establishing connections.
A financial institution is required to store transaction logs for regulatory compliance purposes. However, they have limited storage capacity. How can compression techniques help them manage their storage effectively while ensuring data integrity?
- Bitrate Reduction
- Block Compression
- Delta Encoding
- Lossless Compression
For financial transaction logs where data integrity is paramount, employing Lossless Compression techniques such as Delta Encoding or Block Compression is advisable. These methods reduce storage size without compromising data accuracy, ensuring compliance with regulatory requirements while managing limited storage effectively.
A transportation company wants to analyze its freight data. It has a fact table containing shipment weights, distances traveled, and delivery dates. How would you ensure that the fact table is appropriately linked to dimension tables representing locations, products, and time periods?
- Connect the fact table to location, product, and time dimensions using foreign keys
- Link the fact table only to location and product dimensions, omitting time dimensions
- Use natural keys for the fact table and dimension tables
- Use surrogate keys for all tables to ensure a unified link
To ensure appropriate linkage in a transportation company's scenario, foreign keys should be used to connect the fact table to dimension tables representing locations, products, and time periods. This enables comprehensive analysis by location, product, and temporal factors.