Start learning 50% faster. Sign in now
Explanation: Document-Oriented Databases, such as MongoDB or Couchbase, are specifically designed to store and manage semi-structured data like JSON and XML. These databases treat data as "documents," allowing flexible schemas that can easily adapt to changes in the data structure. Unlike traditional relational databases, document databases do not require a fixed schema, making them ideal for applications where the structure of data evolves over time. Querying and indexing features in document databases are optimized for nested and hierarchical data structures commonly found in JSON and XML. Option A: Relational databases are best suited for structured data with predefined schemas, and handling semi-structured data requires additional effort (e.g., using JSON columns in PostgreSQL). Option B: Key-Value Stores are optimal for scenarios requiring fast lookups of key-value pairs but lack the hierarchical querying capabilities needed for JSON or XML data. Option C: Columnar Databases are designed for analytical workloads and structured data, making them less efficient for semi-structured formats. Option E: Flat File Storage, such as CSV files, can store data but lacks the querying and management capabilities of document-oriented databases for semi-structured formats.
In a virtual memory system, what is a "page fault"?
What is a key benefit of using the MVC architecture in software development?
A spanning tree is
How does public key cryptography address the issue of secure key exchange?
The "fetch-decode-execute" cycle in CPU control design refers to the sequence of actions performed for each:
How many stable states does a positive-edge-triggered D-type flip-flop have?
Which scheduling policy may result in high waiting times for long-running jobs?
When trying to access a URL, the following message is displayed on the browser:
Server; Error 403.
What could be the reason for the...
What is the purpose of software maintenance?
Which of the following techniques is used for dimensionality reduction while preserving the data’s variance?