Amazon S3 (Simple Storage Service) interview questions and answers

Sanjay Kumar PhD
6 min readDec 24, 2024

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Q1. What is Amazon S3?

Answer:
Amazon S3 (Simple Storage Service) is an object storage service that provides industry-leading scalability, data availability, security, and performance. It is designed to store and protect any amount of data for use cases such as backups, websites, mobile apps, big data analytics, IoT devices, and archival.

Q2. Can you explain the difference between S3 and EBS?

Answer:

S3 (Simple Storage Service):

  • Object storage.
  • Suitable for storing unstructured data like images, videos, backups, and big data analytics.
  • Data is accessed using unique object keys in a flat namespace.
  • Accessible from anywhere via the internet.

EBS (Elastic Block Store):

  • Block storage.
  • Designed for use with EC2 instances as persistent storage.
  • Suitable for databases, file systems, or raw block storage.
  • Restricted to the EC2 instance’s availability zone.

Q3. What are S3 buckets?

Answer:
An S3 bucket is a container for objects stored in Amazon S3.

  • All objects must be stored within a bucket.
  • A bucket has a globally unique name.
  • Buckets enable users to manage data at a container level with features like versioning, lifecycle policies, and access controls.

Q4. Describe the durability and availability of Amazon S3.

Answer:

Durability: Amazon S3 is designed for 99.999999999% (11 9’s) durability. This ensures data is redundantly stored across multiple facilities and devices.

Availability:

  • S3 Standard: 99.99% availability.
  • S3 Standard-IA (Infrequent Access): Slightly lower availability (99.9%) at a reduced cost.

Q5. What are the storage classes available in S3?

Answer:

  1. S3 Standard: High availability and performance for frequently accessed data.
  2. S3 Intelligent-Tiering: Automatically moves data between access tiers based on usage.
  3. S3 Standard-IA: Low-cost storage for infrequently accessed data.
  4. S3 One Zone-IA: Similar to Standard-IA but stores data in a single availability zone.
  5. S3 Glacier: Low-cost storage for archival with retrieval times ranging from minutes to hours.
  6. S3 Glacier Deep Archive: Cheapest storage option, designed for long-term archival with retrieval times of up to 12 hours.

Q6. What is S3 Versioning?

Answer:
S3 Versioning allows users to maintain multiple versions of an object in the same bucket.

  • Helps to retrieve and restore previous versions of objects.
  • Protects against accidental deletions or overwrites.

Q7. How does S3 encryption work?

Answer: S3 supports two types of encryption:

Server-Side Encryption (SSE):

  • SSE-S3: Managed by S3, using AES-256 encryption.
  • SSE-KMS: Managed using AWS Key Management Service (KMS) for key control.
  • SSE-C: Customers provide their own encryption keys.

Client-Side Encryption:

  • Data is encrypted on the client side before uploading to S3.

Q8. Explain S3 Lifecycle Policies.

Answer:
S3 Lifecycle Policies automate the movement of data between storage classes or deletion based on predefined rules.
Example use cases:

  • Transition objects to a cheaper storage class after 30 days.
  • Permanently delete objects older than 365 days.

Q9. What is the difference between S3 and S3 Glacier?

Answer:

  • S3: General-purpose, high-speed storage for frequent and infrequent access.
  • S3 Glacier: Low-cost storage optimized for archiving. Retrieval times are longer (minutes to hours).

Q10. What are S3 Bucket Policies and ACLs?

Answer:

  • Bucket Policies: JSON-based permissions applied to the bucket and objects within. They support fine-grained control.
  • Access Control Lists (ACLs): Legacy mechanism for granting permissions at the bucket or object level.

Q11. How does Amazon S3 handle data consistency?

Answer:

  • Read-after-write consistency: For PUTs of new objects.
  • Eventual consistency: For overwrites and deletes (propagation across the system may take time).

Q12. What is an S3 Presigned URL?

Answer:
A Presigned URL allows you to grant temporary, time-limited access to your Amazon S3 objects without sharing your credentials or making the object public. It’s commonly used to share files securely or to allow upload/download operations for specific users.

Key Points:

  • A presigned URL is generated using AWS credentials and includes:
  • Bucket and object key.
  • Time duration for which the URL is valid.
  • Signature and security credentials embedded in the URL.
  • Users with the presigned URL can perform actions like GET (download) or PUT (upload) on the specified object.

Use Cases:

  1. Temporary File Sharing: Share a file with a third party for a limited duration.
  2. Controlled Uploads: Allow clients to upload files to your bucket without needing direct write permissions.
  3. Secure API Workflows: Provide dynamic file access for applications.

Q13. What is the S3 Transfer Acceleration feature?

Answer:
S3 Transfer Acceleration enables faster file uploads to S3 by routing data through AWS Edge Locations (part of AWS’s global CloudFront network). This minimizes latency and maximizes transfer speed, especially for long-distance uploads.

How It Works:

  1. When Transfer Acceleration is enabled on a bucket, data uploads bypass the public internet and use AWS’s high-speed, secure network.
  2. The data travels through the nearest AWS Edge Location to reach the S3 bucket.

Benefits:

  • Faster uploads for clients far from the S3 bucket’s region.
  • Secure data transfer over AWS’s global network.

Use Cases:

  • Applications that upload large files from geographically dispersed users.
  • High-latency networks where faster uploads are critical.

Enabling Transfer Acceleration:

  1. Go to the S3 Management Console.
  2. Select your bucket → Properties → Transfer Acceleration → Enable.

Cost Considerations:

  • Transfer Acceleration incurs additional charges compared to standard S3 uploads.

Q14. What is S3 Select and how is it used?

Answer:
S3 Select allows users to query a subset of data directly from an object stored in S3 using SQL-like queries. Instead of downloading the entire object, S3 processes the query and returns only the relevant data, saving bandwidth and reducing processing costs.

Supported Formats:

  • CSV
  • JSON
  • Apache Parquet (columnar format)

Key Features:

  1. SQL Queries: Use standard SQL expressions to filter and retrieve data.
  2. Improved Efficiency: Reduces the amount of data transferred from S3.
  3. Compatibility: Works with large files stored in S3.

Q15. What is Cross-Region Replication (CRR) in S3?

Answer:
Cross-Region Replication (CRR) is a feature that automatically replicates objects from a bucket in one AWS region to a bucket in another region.

Key Features:

  • Maintains copies of objects across different AWS regions.
  • Ensures data durability and compliance (e.g., meeting disaster recovery or legal requirements).
  • Works at the bucket or prefix level.

Requirements:

  • Versioning must be enabled on both the source and destination buckets.
  • Permissions must allow the source bucket to replicate data to the destination bucket.

Benefits:

  1. Disaster Recovery: Ensures data is available even if one region becomes unavailable.
  2. Compliance: Meets regulatory requirements for data residency or redundancy.
  3. Performance: Improves data access latency for globally distributed users.

Setting Up CRR:

  1. Enable versioning on both source and destination buckets.
  2. Create a replication rule in the S3 bucket’s management console.

Cost Considerations:

  • Data transfer charges apply for replication between regions.

Q16. How does S3 handle access logging?

Answer:
Amazon S3 provides server access logging, which records details about requests made to your bucket for analysis and troubleshooting.

Key Details Logged:

  • Requester’s IP address.
  • Request type (e.g., GET, PUT, DELETE).
  • Response status (e.g., 200 OK, 403 Forbidden).
  • Object key involved in the request.

Steps to Enable Logging:

  1. Open the S3 Management Console.
  2. Navigate to your bucket → PropertiesServer Access Logging.
  3. Specify a target bucket to store log files.

Use Cases:

  • Auditing: Track who accessed your data and when.
  • Security: Detect unauthorized access attempts.
  • Analytics: Identify access patterns and optimize costs.

Q17. What are Multipart Uploads in S3?

Answer:
Multipart Upload allows uploading large objects (over 5 GB) in smaller parts (chunks). Each part is uploaded independently, and S3 assembles the parts into the final object.

Key Benefits:

  1. Increased Speed: Parallel uploads reduce the overall time.
  2. Resilience: If a part fails, only that part needs to be re-uploaded.
  3. Efficiency: Handle large files efficiently without memory limitations.

Steps:

  1. Initiate a multipart upload.
  2. Upload parts (each with a unique part number).
  3. Complete the multipart upload by combining the uploaded parts.

Use Case Example:

Uploading a 50 GB video file where network interruptions might occur

Q18. How does Amazon S3 ensure high durability and availability?

Answer:
Amazon S3 achieves high durability and availability through multiple techniques:

Replication Across Availability Zones:

  • Data is automatically replicated to multiple geographically separated facilities within a region.

Redundant Storage:

  • S3 stores multiple copies of each object on multiple devices.

Error Detection and Recovery:

  • S3 constantly monitors and repairs corrupted data using checksums and redundancy.

Versioning:

  • Protects against accidental overwrites and deletions.

Durability:

  • 99.999999999% (11 9’s) durability ensures virtually no data loss.

Availability:

  • S3 Standard: Designed for 99.99% availability.
  • Lower-cost storage classes (e.g., S3 Standard-IA, One Zone-IA) offer reduced availability but maintain high durability.

Practical Example:

A business can rely on S3 to store mission-critical backups, ensuring data remains available and safe even in the case of hardware failures.

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Sanjay Kumar PhD
Sanjay Kumar PhD

Written by Sanjay Kumar PhD

AI Product | Data Science| GenAI | Machine Learning | LLM | AI Agents | NLP| Data Analytics | Data Engineering | Deep Learning | Statistics

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