Data Storage

Question 1

Explain the difference between block storage and file storage.

Answer 1

• Block storage divides storage devices into fixed-size blocks and accesses them directly
• File storage uses a hierarchical structure of directories and files

Question 2

What are the key use cases for block storage and file storage?

Answer 2

• Block storage: for low-level data manipulation, such as databases, where performance and precise control are critical
• File storage: for general-purpose file sharing and applications where data is organized in a familiar way

Question 3

What factors should be considered when deciding between block and file storage

Answer 3

• depends on the specific needs of the application
• block storage preferred for performance-sensitive workloads
• file storage for ease of management and sharing

Question 4

Describe the concept of RAID (Redundant Array of Independent Disks)

Answer 4

RAID is a technique that combines multiple physical disks into a single logical unit for improved performance and redundancy

Question 5

What are the different RAID levels

Answer 5

RAID 0, RAID 1, RAID 5, RAID 10

Question 6

How does each RAID level provide redundancy and performance benefits

Answer 6

• Some RAID configurations read and write across multiple disks in order to boost system performance and maximize throughput
• Others mirror data sets across multiple disks (builds in data redundency)

Question 7

How do you choose RAID level

Answer 7

depends on the trade-off between performance, redundancy, and cost

Question 8

Discuss the pros and cons of SSDs (Solid State Drives) compared to traditional HDDs (Hard Disk Drives) for data storage

Answer 8

• SSDs: faster read/write speeds, lower latency, and shock resistance
• HDDs: greater capacity at a lower cost

Question 9

When would you recommend using Solid State Drives over Hard Disk Drives?

Answer 9

SSDs: performance-intensive applications like databases and virtualization BUT less economical for large-scale storage
HDDs: applications where performance isn’t critical (bulk storage, archive)

Question 10

Explain the difference between object storage and block storage

Answer 10

• object storage: treats data as objects with unique identifiers, metadata, and data payloads
• Block storage: divides storage devices into fixed-size blocks and accesses them directly

Question 11

How does object storage facilitate scalability and data management in distributed environments?

Answer 11

• designed for scalability and simplified data management
• eliminates the complexities of file systems
• easier to manage large volumes of data

Question 12

What are typical use cases for object storage

Answer 12

• well-suited for cloud storage, content delivery networks (CDNs), and backup/archiving
• web applications, IoT data, and unstructured data repositories

Question 13

Describe the principle of data redundancy

Answer 13

Data redundancy involves duplicating data to prevent data loss in case of hardware failures.

Question 14

Describe the principle of data replication

Answer 14

Data replication copies data to multiple locations, ensuring high availability

Question 15

How does data redundency and replication enhance data availability and fault tolerance?

Answer 15

Ensures data remains accessible even if certain components fail

Question 16

What are the trade-offs to consider when implementing data redundency and/or replication?

Answer 16

• increased storage costs
• potential synchronization challenges between replicas
• possible data consistency issues in distributed environments