200+ Free AWS Database Practice Questions

Pass your AWS Certified Database - Specialty (DBS-C01) exam on the first try — instant access, no signup required.

✓ No registration✓ No credit card✓ No hidden fees✓ Start practicing immediately

~60-70% Pass Rate

200+ Questions

100% Free

1 / 10

Question 1

Score: 0/0

A company is developing a new e-commerce application that requires a relational database with automatic failover across multiple Availability Zones. The application uses MySQL-compatible queries. Which AWS database service should they choose?

Amazon RDS for MySQL with Multi-AZ enabled

Amazon DynamoDB with on-demand capacity

Amazon ElastiCache for Redis

Amazon Neptune

to track

2026 Statistics

Key Facts: AWS Database Exam

Total Questions

50 scored + 15 unscored

750/1000

Passing Score

AWS (scaled)

180 min

Exam Duration

AWS

$300

Exam Fee

AWS

26-30%

Database Design Weight

Largest domain

3 years

Certification Validity

AWS

The AWS Certified Database Specialty (DBS-C01) exam has 65 questions (50 scored + 15 unscored) in 180 minutes with a passing score of 750/1000. Key domains: Workload-Specific Database Design (26-30%), Deployment and Migration (20-24%), Management and Operations (18-22%), and Monitoring/Troubleshooting/Security (18-22%). Recommended: 5+ years database experience with 2+ years on AWS. Exam fee is $300. Certification valid for 3 years.

Sample AWS Database Practice Questions

Try these sample questions to test your AWS Database exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 200+ question experience with AI tutoring.

1A company is developing a new e-commerce application that requires a relational database with automatic failover across multiple Availability Zones. The application uses MySQL-compatible queries. Which AWS database service should they choose?

A.Amazon RDS for MySQL with Multi-AZ enabled

B.Amazon DynamoDB with on-demand capacity

C.Amazon ElastiCache for Redis

D.Amazon Neptune

Explanation: Amazon RDS for MySQL with Multi-AZ provides a highly available MySQL-compatible relational database with automatic failover across Availability Zones. Multi-AZ creates a synchronous standby replica in a different Availability Zone, ensuring high availability without manual intervention.

2Which Amazon Aurora feature allows you to create a database that spans multiple AWS Regions with automatic replication and failover capabilities?

A.Aurora Global Database

B.Aurora Serverless

C.Aurora Read Replicas

D.Aurora Parallel Query

Explanation: Aurora Global Database is designed for globally distributed applications, allowing a single Aurora database to span multiple AWS Regions. It replicates data with no impact on database performance, enables fast local reads in each Region, and provides disaster recovery from region-wide outages with recovery times under 1 minute.

3A gaming company needs a database to store player session data that requires single-digit millisecond latency at any scale. The data structure is simple key-value pairs. Which service is most appropriate?

A.Amazon DynamoDB

B.Amazon RDS for PostgreSQL

C.Amazon DocumentDB

D.Amazon Timestream

Explanation: Amazon DynamoDB is a fully managed NoSQL key-value and document database that delivers single-digit millisecond performance at any scale. It is ideal for gaming leaderboards, session data, and real-time bidding where low latency is critical.

4Which AWS database service should be used for applications requiring a fully managed graph database to store and navigate relationships between data?

A.Amazon Neptune

B.Amazon RDS

C.Amazon DynamoDB

D.Amazon Keyspaces

Explanation: Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. It supports both property graph and RDF models.

5A media company is designing a content management system that stores metadata for millions of videos. The system needs to support complex queries on nested JSON documents and must be compatible with MongoDB. Which service should they use?

A.Amazon DocumentDB

B.Amazon DynamoDB with single-table design

C.Amazon RDS for MySQL with JSON columns

D.Amazon S3 with Athena

Explanation: Amazon DocumentDB is a fully managed document database service that supports MongoDB workloads. It provides native JSON document storage, supports complex queries on nested documents, and is compatible with MongoDB 3.6 and 4.0 APIs, making migration straightforward.

6A company is building a time-series application to store and analyze IoT sensor data. They need to store trillions of events and perform fast analytical queries. Which database service is most cost-effective for this use case?

A.Amazon Timestream

B.Amazon RDS for MySQL

C.Amazon DynamoDB with TTL

D.Amazon Redshift

Explanation: Amazon Timestream is a serverless time-series database built specifically for IoT and operational applications. It can store trillions of events, offers fast query performance through adaptive query engine, provides data lifecycle management (memory store to magnetic store), and is cost-optimized for time-series data.

7An application requires a database that can handle read-heavy workloads with microsecond latency for frequently accessed data. The data can be reconstructed from the primary database if lost. Which solution should be implemented?

A.Amazon ElastiCache for Redis as a cache layer

B.Amazon Aurora Serverless v2

C.Amazon DynamoDB DAX

D.Both Amazon ElastiCache for Redis and Amazon DynamoDB DAX are valid options

Explanation: Both ElastiCache for Redis and DynamoDB DAX can provide microsecond latency for read-heavy workloads. ElastiCache Redis is suitable when caching data from relational databases, while DAX is specifically designed for DynamoDB acceleration. The question specifies the data can be reconstructed, indicating either caching solution would work depending on the primary database choice.

8A financial services company needs to implement an immutable ledger for recording financial transactions. They require cryptographic verification of data integrity and automatic scaling. Which AWS service meets these requirements?

A.Amazon QLDB

B.Amazon RDS with audit logging

C.Amazon Managed Blockchain

D.Amazon DynamoDB with point-in-time recovery

Explanation: Amazon QLDB (Quantum Ledger Database) is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log. It tracks every application data change and maintains a complete and verifiable history of changes over time, with automatic scaling and no blockchain consensus overhead.

9A company is designing a multi-tenant SaaS application where each tenant has varying and unpredictable database workloads. They need automatic scaling of both compute and storage without manual intervention. Which Aurora deployment option is most suitable?

A.Aurora Serverless v2

B.Aurora Provisioned with Auto Scaling

C.Aurora Global Database

D.Aurora Multi-Master

Explanation: Aurora Serverless v2 is an on-demand, auto-scaling configuration for Amazon Aurora. It automatically scales compute capacity up and down based on application demand, making it ideal for multi-tenant SaaS applications with unpredictable workloads. It provides the same reliability and security as provisioned Aurora clusters.

10An application requires a Cassandra-compatible database that can handle millions of requests per second with single-digit millisecond latency across multiple AWS Regions. Which service should be selected?

A.Amazon Keyspaces

B.Amazon DynamoDB Global Tables

C.Amazon Aurora Multi-Master

D.Amazon Neptune

Explanation: Amazon Keyspaces is a scalable, highly available, and managed Apache Cassandra-compatible database service. It supports Cassandra Query Language (CQL), provides single-digit millisecond performance at any scale, and can be deployed across multiple Regions using its multi-Region replication capabilities.

About the AWS Database Exam

The AWS Certified Database - Specialty (DBS-C01) exam validates expertise in designing, deploying, managing, and troubleshooting database solutions on AWS. It covers RDS, Aurora, DynamoDB, Redshift, ElastiCache, Neptune, DocumentDB, and other AWS database services.

Questions

65 scored questions

Time Limit

180 minutes

Passing Score

750/1000 (scaled)

Exam Fee

$300 (Amazon Web Services / Pearson VUE)

AWS Database Exam Content Outline

26-30%

Workload-Specific Database Design

Design database solutions based on requirements: relational, key-value, document, in-memory, graph, time series, and ledger databases

20-24%

Deployment and Migration

Deploy and migrate databases using DMS, SCT, and migration strategies for heterogeneous and homogeneous migrations

18-22%

Management and Operations

Manage and monitor database operations: automation, backup/restore, patching, and operational best practices

18-22%

Monitoring, Troubleshooting, and Security

CloudWatch, Performance Insights, database security, encryption, IAM database authentication, and VPC configurations

How to Pass the AWS Database Exam

What You Need to Know

Passing score: 750/1000 (scaled)
Exam length: 65 questions
Time limit: 180 minutes
Exam fee: $300

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

AWS Database Study Tips from Top Performers

1Master database selection — know when to use RDS, Aurora, DynamoDB, Redshift, ElastiCache, Neptune, and DocumentDB

2Study AWS DMS (Database Migration Service) and Schema Conversion Tool for migration scenarios

3Understand Multi-AZ deployments, read replicas, and Aurora global databases for high availability

4Know encryption at rest (KMS) and in transit (TLS), plus IAM database authentication for security

5Learn Performance Insights and CloudWatch metrics for monitoring and troubleshooting

6Practice with real AWS database services — hands-on experience is essential for scenario-based questions

Frequently Asked Questions

What is the AWS Database Specialty exam?

The AWS Certified Database - Specialty (DBS-C01) exam validates expertise in designing, deploying, and managing database solutions on AWS. It covers relational (RDS, Aurora), NoSQL (DynamoDB, DocumentDB), data warehousing (Redshift), caching (ElastiCache), and graph (Neptune) databases.

How many questions are on the AWS Database Specialty exam?

The exam has 65 questions (50 scored + 15 unscored) in 180 minutes. It uses a scaled scoring system with 750/1000 as the passing score. Questions are scenario-based and focus on database architecture decisions.

What experience is recommended for the AWS Database Specialty?

AWS recommends 5+ years of database experience with 2+ years hands-on AWS database experience. You should be familiar with on-premises and cloud-based relational and NoSQL databases, and have practical experience with AWS database services.

What is the largest domain on the AWS Database exam?

Workload-Specific Database Design is the largest domain at 26-30%. It tests your ability to choose the right database service for specific use cases, including when to use RDS vs Aurora vs DynamoDB vs Neptune vs Redshift.

How should I prepare for the AWS Database Specialty exam?

Plan for 80-120 hours of study over 6-10 weeks. Focus on hands-on experience with AWS database services, especially Aurora, DynamoDB, and DMS. Study database migration strategies and security best practices. Complete 200+ practice questions and aim for 80%+ before scheduling.