Reverse Engineering helps in understanding the structure and relationships within an existing database schema, facilitating _______.
- Code optimization
- Database documentation
- Schema modification
- System integration
Reverse Engineering helps in understanding the existing database schema by documenting its structure and relationships. This facilitates database documentation, making it easier for developers and database administrators to comprehend and work with the database.
_______ techniques reduce the size of data stored in a database by eliminating redundancy and using encoding schemes.
- Data Compression
- Data Encryption
- Data Indexing
- Data Sharding
Data Compression techniques aim to reduce the size of stored data in a database. This is achieved by eliminating redundancy and applying encoding schemes that represent the data in a more space-efficient manner. Data Compression is valuable for optimizing storage space and improving overall database performance.
UML focuses on _______ modeling, while SQL focuses on _______ modeling.
- Behavioral
- Object-oriented
- Procedural
- Relational
UML focuses on Object-oriented modeling, emphasizing the representation of objects, classes, and their relationships. On the other hand, SQL focuses on Relational modeling, dealing with tables, data integrity, and relationships between tables in a relational database.
The process of creating specialized entities from a general entity is called _______.
- Denormalization
- Generalization
- Normalization
- Specialization
The process of creating specialized entities from a general entity is called "Specialization." It involves identifying and defining more specific entities (subtypes) based on common characteristics of a general entity (supertype).
Scenario: A financial institution maintains a database for tracking transactions, accounts, and customers. They need to generate detailed financial reports quickly. How could denormalization be used to optimize reporting queries?
- Create indexed views for financial reports
- Implement partitioning for better data organization
- Introduce redundancy by merging tables to simplify queries
- Normalize tables to reduce redundancy
In this scenario, denormalization can be applied by creating indexed views for financial reports. This involves introducing redundancy strategically to optimize reporting queries, as the indexed views store precomputed results for faster retrieval.
In a database context, what does the acronym ACID stand for?
- Access, Communication, Isolation, Data
- Association, Concurrency, Integration, Dependability
- Atomicity, Consistency, Isolation, Durability
- Authentication, Cohesion, Isolation, Decentralization
ACID stands for Atomicity, Consistency, Isolation, and Durability. These are the four key properties that guarantee the reliability of transactions in a database system.
What are some common methods used to monitor database performance?
- Data encryption, Data compression, and Data deduplication
- Data indexing, Data partitioning, and Data replication
- Data validation, Data normalization, and Data aggregation
- Database performance counters, Query profiling, and Database monitoring tools
Common methods used to monitor database performance include utilizing database performance counters to track key metrics, implementing query profiling to analyze query execution patterns, and employing specialized database monitoring tools to monitor system health and performance in real-time. These methods help identify performance bottlenecks and optimize database operations.
Scenario: A retail company wants to analyze sales data across different regions and product categories. How would you design a Dimensional Model to support this analysis?
- A hybrid approach with both normalized and denormalized structures
- Denormalized tables with dimensions for regions and product categories
- No specific design, as it depends on the specific requirements
- Normalized tables with a focus on minimizing redundancy
In this scenario, a Dimensional Model with denormalized tables is suitable. Denormalization helps in simplifying queries for analytical purposes, and having dimensions for regions and product categories facilitates easy analysis based on these criteria.
In a column-family store, what does a "column-family" represent?
- A collection of rows with similar attributes
- A group of related tables
- A single column in a table
- A subset of columns in a table
In a column-family store, a "column-family" represents a collection of rows with similar attributes. This allows for efficient storage and retrieval of data by organizing related information together, making it suitable for scenarios where data access patterns involve retrieving multiple attributes of a single entity.
_______ integrity ensures that primary key values are unique and not null.
- Data
- Entity
- Primary
- Referential
Detailed Primary integrity ensures that primary key values are unique and not null. The primary key is a crucial component in a relational database as it uniquely identifies each record in a table, preventing duplication and ensuring data reliability.