Scenario: A multinational e-commerce company wants to implement data partitioning for its product database. How would you advise them on choosing between range-based and hash-based partitioning?
- Hash-based for specific access patterns
- Hash-based for uniform distribution
- Range-based for easy data range queries
- Range-based for even data distribution
When choosing between range-based and hash-based partitioning, hash-based is advised for uniform distribution and to avoid hotspots. Range-based is suitable for queries involving specific data ranges. The decision depends on the access patterns and distribution goals.
How does version control handle rollback of changes in data models?
- Automatically rolling back to the previous version
- Creating a new branch for each rollback
- Deleting the entire version history
- Manually reverting changes to a specific commit
Version control handles rollback by allowing users to manually revert changes to a specific commit. This ensures flexibility in undoing undesirable modifications and restoring the data model to a previous state while maintaining a record of version history.
What is the primary data structure used in document-based modeling?
- Graph
- JSON
- Key-Value Pair
- Table
The primary data structure used in document-based modeling is JSON (JavaScript Object Notation). JSON allows for flexible and hierarchical data representation, making it suitable for storing and retrieving complex data structures. Document databases leverage this format to organize and query data efficiently.
Which factor is typically NOT considered when deciding how to partition data?
- Data compression ratio
- Data distribution across servers
- Query performance requirements
- Security requirements
The data compression ratio is typically not considered when deciding how to partition data. Partitioning decisions are primarily based on factors such as data distribution, query performance, and security requirements, but compression considerations are addressed separately.
In Forward Engineering, the process starts with a _______ data model and progresses towards a detailed physical model.
- Abstract
- Conceptual
- Concrete
- Logical
In Forward Engineering, the process begins with a Logical Data Model. This model represents the abstract structure of the data without concerning itself with the physical implementation. It serves as a bridge between the high-level conceptual model and the detailed physical model.
Scenario: A hospital manages doctors, patients, and appointments. Each patient can have multiple appointments, each doctor can have multiple appointments, and each appointment is associated with one patient and one doctor. How would you represent this scenario in an ERD?
- Many-to-Many
- Many-to-One
- One-to-Many
- One-to-One
For this scenario, a One-to-One relationship is appropriate. Each appointment is associated with one patient and one doctor. It ensures that each appointment is uniquely linked to a specific patient and doctor, avoiding data redundancy.
In NoSQL databases, which consistency model sacrifices consistency in favor of availability and partition tolerance?
- Causal Consistency
- Eventual Consistency
- Sequential Consistency
- Strong Consistency
Eventual Consistency in NoSQL databases sacrifices immediate consistency in favor of high availability and partition tolerance. It allows replicas of data to become consistent over time, ensuring that all replicas will eventually converge to the same value. This trade-off is suitable for systems where availability is crucial, and temporary inconsistencies can be tolerated.
The purpose of _______ is to improve query performance by organizing table data based on predefined criteria.
- Data Fragmentation
- Database Indexing
- Horizontal Sharding
- Vertical Sharding
The purpose of Database Indexing is to improve query performance by organizing table data based on predefined criteria. Indexing creates a data structure that allows for faster retrieval of information, especially in large databases.
How does collaborative data modeling differ from individual data modeling?
- It focuses on creating data models for personal use only
- It has no impact on the overall data modeling process
- It involves multiple individuals working together on the same data model
- It uses different symbols in data modeling diagrams
Collaborative data modeling involves multiple individuals working together on the same data model, fostering teamwork and incorporating diverse perspectives. This approach enhances the quality and completeness of the data model compared to individual efforts.
In database performance tuning, _______ is the process of rearranging the way data is stored to improve query performance.
- Clustering
- Denormalization
- Partitioning
- Sharding
In database performance tuning, clustering is the process of rearranging the way data is stored to improve query performance. Clustering involves storing related data together physically on the disk, which can reduce disk I/O and improve query speed.