Scenario: A financial institution manages vast amounts of transaction data. They need to ensure high availability and performance while minimizing storage costs. What strategies can they implement for storage optimization in this scenario?
- Enabling full database encryption
- Implementing compression algorithms
- Increasing database replication
- Utilizing extensive data normalization
To ensure high availability and performance while minimizing storage costs, the financial institution can implement compression algorithms. These algorithms reduce the storage space required for transaction data without compromising data integrity, leading to optimized storage usage and improved overall system efficiency.
Scenario: An e-commerce website prioritizes availability over consistency but still wants to ensure that orders are not lost or duplicated. How can they achieve this balance in their NoSQL database design?
- Causal Consistency
- Eventual Consistency
- Eventually Consistent Reads
- Strong Consistency
Prioritizing availability, the e-commerce website can achieve a balance by opting for Eventual Consistency. This allows for faster availability while ensuring that, over time, all replicas converge to the same state, preventing order loss or duplication.
Scenario: A transportation company wants to model its network of routes and stops for optimizing logistics and route planning. Which database technology would be best suited for representing this data structure and performing efficient traversal queries?
- Document Database
- Graph Database
- NoSQL Database
- Relational Database
In the context of modeling routes and stops for logistics, a Graph Database would be the most appropriate choice. Graph databases are designed to handle relationships between entities efficiently, making them well-suited for scenarios where traversing connections, such as finding the most efficient route, is a common operation.
In which scenarios would you prefer using a wide-column store over other NoSQL database types?
- When data is primarily text-based
- When dealing with hierarchical data
- When handling complex transactions
- When requiring high read and write throughput
Wide-column stores are preferred in scenarios requiring high read and write throughput, making them suitable for applications like time-series data storage or analytics, where fast access to large volumes of data is crucial. Their architecture allows for efficient retrieval of data in columns rather than rows.
In an inheritance hierarchy, what do subclasses inherit from their superclass?
- Attributes and relationships
- Indexes
- Primary keys
- Secondary keys
In an inheritance hierarchy, subclasses inherit attributes and relationships from their superclass. This enables the reuse of common data elements and promotes a hierarchical structure in the database model.
How does indexing affect insert and update operations on a database table?
- Enhances data integrity
- Has no impact on insert and update operations
- Increases performance by reducing search time
- Slows down insert and update operations
Indexing can slow down insert and update operations on a database table. While it improves search performance, maintaining and updating indexes during insertion or modification can introduce overhead.
How does data integrity play a role in relational schema design?
- It deals with the physical storage of data on disk
- It ensures the accuracy and reliability of data in the database
- It focuses on optimizing query execution plans
- It provides mechanisms for data encryption
Data integrity in relational schema design plays a crucial role in ensuring the accuracy and reliability of data in the database. Integrity constraints, such as primary keys and foreign keys, help maintain the quality and consistency of the data stored in the tables.
In NoSQL databases, a _______ is a unique identifier associated with each document in a collection.
- Document ID
- Foreign Key
- Index
- Primary Key
In NoSQL databases, a Document ID is a unique identifier associated with each document in a collection. It helps in quickly locating and accessing specific documents within the database.
The process of carefully selecting which parts of a database schema to denormalize is called _______.
- Fragmentation
- Indexing
- Normalization
- Strategic Denormalization
The process of carefully selecting which parts of a database schema to denormalize is called Strategic Denormalization. It involves a thoughtful approach to identifying specific areas where denormalization will bring the most significant performance benefits without sacrificing data integrity.
How do ER diagram tools aid in the creation of complex database schemas?
- By automatically generating SQL code
- By enforcing data integrity constraints
- By managing database security
- By providing a visual representation of the database structure
ER diagram tools assist in creating complex database schemas by offering a visual representation of the database structure. This visualization helps designers and developers understand the relationships between entities and the overall schema layout, making it easier to design and communicate complex database structures.