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Many students who study using our platform have reported that a large number of the practice questions here are very similar to those that appear in real exams. View Courses
Many students who study using our platform have reported that a large number of the practice questions here are very similar to those that appear in real exams. View Courses
What is the primary benefit of using a columnar storage format in a database management system (DBMS) designed for analytics?
Correct Answer: C. Faster query performance for read-heavy workloads
The primary benefit of using a columnar storage format in a DBMS designed for analytics is faster query performance for read-heavy workloads. Columnar storage organizes data by columns rather than rows, enabling queries to scan only the relevant columns needed, significantly reducing disk I/O and memory usage. This structure improves compression, cache efficiency, and vectorized processing, making it ideal for analytical queries that aggregate or filter large datasets, thus accelerating query response times.
Why Other Options are Incorrect:
A. Enhanced data security
Columnar storage focuses on optimizing data layout for performance and compression. It does not inherently provide enhanced data security, which depends on encryption, access controls, and other security measures.
B. Improved write performance
Columnar formats typically have slower write performance because data for each column must be stored separately and may require additional processing. They are optimized for read-heavy analytical workloads, not frequent transactional writes.
D. Simplified schema design
Schema design complexity is unrelated to storage format. Columnar storage does not simplify schema design; it primarily affects how data is physically stored and accessed, not the logical structure of the database.
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